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• Classification of dementia type using the brain-computer interface
  Abstract This paper addresses the development of a dementia screening tool using a character-input-type brain–computer Interface (BCI). A blinking letter board is presented to the subject for each matrix by the character-input-type BCI, and by keeping an eye o…
  openalex Akihiro Fukushima, Ryo Morooka, Hisaya Tanaka, Hirao Kentaro 等 2021-01-10 置信度 0.72 DementiaLewy bodyBrain–computer interfaceComputer scienceClassifier (UML)
• Artificial Intelligence and Neuroscience: Transformative Synergies in Brain Research and Clinical Applications
  The convergence of Artificial Intelligence (AI) and neuroscience is redefining our understanding of the brain, unlocking new possibilities in research, diagnosis, and therapy. This review explores how AI's cutting-edge algorithms-ranging from deep learning to …
  openalex Răzvan Onciul, Cătălina-Ioana Tătaru, Adrian Dumitru, Carla Crivoi 等 2025-01-16 置信度 0.72 Transformative learningNeuroinformaticsNeuroimagingNeuroscienceNeuromorphic engineering
• Recent Advances in Portable Dry Electrode EEG: Architecture and Applications in Brain-Computer Interfaces
  As brain-computer interface (BCI) technology continues to advance, research on human brain function has gradually transitioned from theoretical investigation to practical engineering applications. To support EEG signal acquisition in a variety of real-world sc…
  pubmed Meihong Zhang, Bocheng Qian, Jianming Gao, Shaokai Zhao 等 2025 Aug 21 置信度 0.82 ElectroencephalographyBrain–computer interfaceArchitectureComputer scienceHuman–computer interaction
• Chronic adaptive deep brain stimulation versus conventional stimulation in Parkinson’s disease: a blinded randomized feasibility trial
  openalex Carina R. Oehrn, Stephanie Cernera, Lauren H. Hammer, Maria Shcherbakova 等 2024-08-19 置信度 0.72 Deep brain stimulationStimulationMedicineParkinson's diseaseRandomized controlled trial
• Silicon-Integrated High-Density Electrocortical Interfaces
  Recent demand and initiatives in brain research have driven significant interest toward developing chronically implantable neural interface systems with high spatiotemporal resolution and spatial coverage extending to the whole brain. Electroencephalography-ba…
  openalex Sohmyung Ha, Abraham Akinin, Jiwoong Park, Chul Kim 等 2016-08-05 置信度 0.72 InterfacingBrain–computer interfaceElectrocorticographyComputer scienceModular design
• Neuromuscular electrical stimulation‐promoted plasticity of the human brain
  The application of neuromuscular electrical stimulation (NMES) to paretic limbs has demonstrated utility for motor rehabilitation following brain injury. When NMES is delivered to a mixed peripheral nerve, typically both efferent and afferent fibres are recrui…
  openalex Richard G. Carson, Alison R. Buick 2019-09-09 置信度 0.72 NeurorehabilitationNeuroscienceContext (archaeology)StimulationEfferent
• Enhanced EEG signal classification in brain computer interfaces using hybrid deep learning models
  Brain-computer interfaces (BCIs) establish a communication pathway between the human brain and external devices by decoding neural signals. This study focuses on enhancing the classification of Motor Imagery (MI) within BCI systems by leveraging advanced machi…
  pubmed Abir Das, Saurabh Singh, Jaejeung Kim, Tariq Ahamed Ahanger 等 2025 Jul 25 置信度 0.82 Computer scienceBrain–computer interfaceArtificial intelligenceMotor imageryRandom forest
• A Computer Science Perspective on Digital Transformation in Production
  The Industrial Internet-of-Things (IIoT) promises significant improvements for the manufacturing industry by facilitating the integration of manufacturing systems by Digital Twins. However, ecological and economic demands also require a cross-domain linkage of…
  openalex Philipp Brauner, Manuela Dalibor, Matthias Jarke, Ike Kunze 等 2022-02-15 置信度 0.72 Variety (cybernetics)Computer scienceDigital transformationThe InternetData science
• Controlling an Anatomical Robot Hand Using the Brain-Computer Interface Based on Motor Imagery
  More than one billion people face disabilities worldwide, according to the World Health Organization (WHO). In Sri Lanka, there are thousands of people suffering from a variety of disabilities, especially hand disabilities, due to the civil war in the country.…
  openalex H.M.K.K.M.B. Herath, W.R. de Mel 2021-08-03 置信度 0.72 Brain–computer interfaceSri lankaElectroencephalographyChristian ministryArtificial intelligence
• Soft, miniaturized, wireless olfactory interface for virtual reality
  Recent advances in virtual reality (VR) technologies accelerate the creation of a flawless 3D virtual world to provide frontier social platform for human. Equally important to traditional visual, auditory and tactile sensations, olfaction exerts both physiolog…
  openalex Yiming Liu, Chun Ki Yiu, Zhao Zhao, Woo‐Young Park 等 2023-05-09 置信度 0.72 Computer scienceHuman–computer interactionVirtual realityOlfactionInterface (matter)
• PEDOT:PSS-based bioelectronics for brain monitoring and modulation
  The growing demand for advanced neural interfaces that enable precise brain monitoring and modulation has catalyzed significant research into flexible, biocompatible, and highly conductive materials. PEDOT:PSS-based bioelectronic materials exhibit high conduct…
  openalex Jing Li, Daize Mo, Jinyuan Hu, Shichao Wang 等 2025-05-13 置信度 0.72 BioelectronicsPEDOT:PSSModulation (music)Materials scienceOptoelectronics
• Internet of Things: A Survey on Enabling Technologies, Protocols, and Applications
  This paper provides an overview of the Internet of Things (IoT) with emphasis on enabling technologies, protocols, and application issues. The IoT is enabled by the latest developments in RFID, smart sensors, communication technologies, and Internet protocols.…
  openalex Ala Al‐Fuqaha, Mohsen Guizani, Mehdi Mohammadi, Mohammed Aledhari 等 2015-01-01 置信度 0.72 Computer scienceCloud computingInternet of ThingsBig dataField (mathematics)
• A neural manifold view of the brain
  openalex Matthew G. Perich, Devika Narain, Juan Álvaro Gallego 2025-07-28 置信度 0.72 NeuroscienceManifold (fluid mechanics)Artificial neural networkBrain functionPopulation
• The State of the NIH BRAIN Initiative
  The BRAIN Initiative arose from a grand challenge to "accelerate the development and application of new technologies that will enable researchers to produce dynamic pictures of the brain that show how individual brain cells and complex neural circuits interact…
  openalex Walter J. Koroshetz, Joshua A. Gordon, Amy Adams, Andrea Beckel‐Mitchener 等 2018-06-19 置信度 0.72 NeuroethicsNeurosciencePrincipal (computer security)Brain researchEngineering ethics
• Bio-inspired electronics: Soft, biohybrid, and “living” neural interfaces
  Neural interface technologies are increasingly evolving towards bio-inspired approaches to enhance integration and long-term functionality. Recent strategies merge soft materials with tissue engineering to realize biologically-active and/or cell-containing liv…
  openalex Dimitris Boufidis, Raghav Garg, Eugenia Angelopoulos, D. Kacy Cullen 等 2025-02-21 置信度 0.72 ElectronicsComputer scienceNanotechnologyHuman–computer interactionMaterials science
• Recent Trends, Applications, and Challenges of Brain-Computer Interfacing (BCI)
  Brain-Computer Interfacing (BCI) enables a communication pathway that is used to directly control certain object or device with the human brain. It is possible to acquire data from the brain with the help of sensors which essentially monitor the physical proce…
  openalex Aroosa Umair, Ureeba Ashfaq, Muhammad Gufran Khan 2017-01-25 置信度 0.72 InterfacingBrain–computer interfaceComputer scienceHuman–computer interactionSoftware
• Neurotechnology in Gaming: A Systematic Review of Visual Evoked Potential-Based Brain-Computer Interfaces
  Brain-computer interfaces (BCIs) have received considerable attention in gaming, enabling innovative interactions with digital environments. Visual Evoked Potentials (VEPs)—robust, noninvasive neural responses to visual stimuli—offer high information transfer …
  openalex Aigerim Keutayeva, China Jesse Nwachukwu, Muslim Alaran, Zhenis Otarbay 等 2025-01-01 置信度 0.72 Computer scienceBrain–computer interfaceHuman–computer interactionVisual evoked potentialsSpeech recognition
• Brain–Computer Interfaces in Parkinson’s Disease Rehabilitation
  Parkinson's disease (PD) is a progressive neurological disorder with motor and non-motor symptoms that are inadequately addressed by current pharmacological and surgical therapies. Brain-computer interfaces (BCIs), particularly those based on electroencephalog…
  pubmed Emmanuel Ortega‐Robles, Ruben I. Carino-Escobar, Jessica Cantillo-Negrete, Óscar Arias-Carrión 等 2025 Jul 23 置信度 0.82 NeurorehabilitationBrain–computer interfaceCognitionPhysical medicine and rehabilitationNeurofeedback
• Visual and haptic feedback in detecting motor imagery within a wearable brain–computer interface
  openalex Pasquale Arpaïa, Damien Coyle, Francesco Donnarumma, Antonio Espósito 等 2022-12-05 置信度 0.72 Brain–computer interfaceMotor imageryNeurofeedbackModality (human–computer interaction)Wearable computer
• The present and future of neural interfaces
  The 2020's decade will likely witness an unprecedented development and deployment of neurotechnologies for human rehabilitation, personalized use, and cognitive or other enhancement. New materials and algorithms are already enabling active brain monitoring and…
  openalex Davide Valeriani, Francesca Santoro, Marcello Ienca 2022-10-11 置信度 0.72 Brain–computer interfaceComputer scienceInterfacingHuman–computer interactionNeuromorphic engineering
• DIRA: A model of the user interface
  The user interface is a central concept in human–computer interaction, but peculiarly fuzzy. This affects discussions of the fundamentals of our discipline and the positioning of our work. We propose a model of the user interface that consists of four elements…
  openalex Joanna Bergström, Kasper Hornbæk 2024-10-04 置信度 0.72 Interface (matter)Human–computer interactionComputer scienceParallel computingMaximum bubble pressure method
• Revisiting Euclidean alignment for transfer learning in EEG-based brain–computer interfaces
  Due to large intra-subject and inter-subject variabilities of electroencephalogram (EEG) signals, EEG-based brain-computer interfaces (BCIs) usually need subject-specific calibration to tailor the decoding algorithm for each new subject, which is time-consumin…
  openalex Dongrui Wu 2025-05-27 置信度 0.72 Transfer of learningElectroencephalographyComputer scienceBrain–computer interfaceTransfer (computing)
• SVM-enhanced attention mechanisms for motor imagery EEG classification in brain-computer interfaces
  Brain-Computer Interfaces (BCIs) leverage brain signals to facilitate communication and control, particularly benefiting individuals with motor impairments. Motor imagery (MI)-based BCIs, utilizing non-invasive electroencephalography (EEG), face challenges due…
  openalex Zhenis Otarbay, Абзал Кызырканов 2025-07-11 置信度 0.72 Computer scienceBrain–computer interfaceArtificial intelligenceDiscriminative modelElectroencephalography
• Advances in brain computer interface for amyotrophic lateral sclerosis communication
  Abstract Amyotrophic lateral sclerosis (ALS) is a progressive neurodegenerative disease that often results in the loss of speech, creating significant communication barriers. Brain–computer interfaces (BCIs) provide a transformative solution for restoring comm…
  openalex Yuchun Wang, Yurui Tang, Qianfeng Wang, Mingyuan Ge 等 2025-03-01 置信度 0.72 Amyotrophic lateral sclerosisBrain–computer interfaceInterface (matter)NeuroscienceComputer science
• A review on computer vision systems in monitoring of poultry: A welfare perspective
  Monitoring of poultry welfare-related bio-processes and bio-responses is vital in welfare assessment and management of welfare-related factors. With the current development in information technologies, computer vision has become a promising tool in the real-ti…
  openalex Cedric Okinda, Innocent Nyalala, Tchalla Korohou, Celestine Okinda 等 2020-01-01 置信度 0.72 Computer scienceArtificial intelligenceAutomationPresentation (obstetrics)Poultry farming
• A Review of Brain–Computer Interface-Based Language Decoding: From Signal Interpretation to Intelligent Communication
  Brain–computer interface (BCI) technologies for language decoding have emerged as a transformative bridge between neuroscience and artificial intelligence (AI), enabling direct neural–computational communication. The current literature provides detailed insigh…
  openalex Yingyi Qiu, Han Liu, Mengyuan Zhao 2025-01-03 置信度 0.72 Computer scienceInterface (matter)Interpretation (philosophy)Decoding methodsSIGNAL (programming language)
• Brain-Computer Interfaces and AI Segmentation in Neurosurgery: A Systematic Review of Integrated Precision Approaches
  Background: BCI and AI-driven image segmentation are revolutionizing precision neurosurgery by enhancing surgical accuracy, reducing human error, and improving patient outcomes. Methods: This systematic review explores the integration of AI techniques—particul…
  openalex Sayantan Ghosh, Padmanabhan Sindhujaa, Dinesh Kumar Kesavan, Balázs Gulyás 等 2025-06-26 置信度 0.72 SegmentationComputer scienceNeurosurgeryArtificial intelligenceMedicine
• Semi-Supervised Learning for Auditory Event-Related Potential-Based Brain–Computer Interface
  A brain-computer interface (BCI) is a communication tool that analyzes neural activity and relays the translated commands to carry out actions. In recent years, semi-supervised learning (SSL) has attracted attention for visual event-related potential (ERP)-bas…
  openalex Mikito Ogino, Suguru Kanoga, Shin-ichi Ito, Yasue Mitsukura 2021-01-01 置信度 0.72 Brain–computer interfaceComputer scienceLinear discriminant analysisInterface (matter)Motor imagery
• Cultural Cognitive Style and Web Design: Beyond a Behavioral Inquiry into Computer-Mediated Communication
  Numerous studies have identified links among culture, user preferences, and Web site usability. Most of these studies were reports of findings from a behavioral perspective in explaining how cultural factors affect processes of Web-related content design and u…
  openalex Anthony Faiola, Sorin Adam Matei 2005-11-01 置信度 0.72 Cognitive styleUsabilityCognitionWeb designPerspective (graphical)
• Secure wireless communication of brain–computer interface and mind control of smart devices enabled by space-time-coding metasurface
  Brain–computer interface (BCI) provides an interconnected pathway between the human brain and external devices and paves a potential route for mind manipulations. However, most existing BCI technologies are based on simple signal transmission and are independe…
  openalex Qiang Xiao, Lin Han Fan, Qian Ma, Yu Ning 等 2025-08-25 置信度 0.72 Computer scienceWirelessBrain–computer interfaceCoding (social sciences)Wireless network
• Interim Safety Profile From the Feasibility Study of the BrainGate Neural Interface System
  BACKGROUND AND OBJECTIVES: Brain-computer interfaces (BCIs) are being developed to restore mobility, communication, and functional independence to people with paralysis. Though supported by decades of preclinical data, the safety of chronically implanted micro…
  openalex Daniel B. Rubin, A. Bolu Ajiboye, L. Barefoot, Marguerite Bowker 等 2023-01-13 置信度 0.72 MedicineAdverse effectClinical trialStroke (engine)Interim
• Brain-wide neural activity underlying memory-guided movement
  Behavior relies on activity in structured neural circuits that are distributed across the brain, but most experiments probe neurons in a single area at a time. Using multiple Neuropixels probes, we recorded from multi-regional loops connected to the anterior l…
  openalex Susu Chen, Yi Liu, Ziyue Wang, Jennifer Colonell 等 2024-02-01 置信度 0.72 NeuroscienceHindbrainThalamusMidbrainBiology
• A Human‐Computer Interaction Strategy for An FPGA Platform Boosted Integrated “Perception‐Memory” System Based on Electronic Tattoos and Memristors
  Abstract The integrated “perception‐memory” system is receiving increasing attention due to its crucial applications in humanoid robots, as well as in the simulation of the human retina and brain. Here, a Field Programmable Gate Array (FPGA) platform‐boosted s…
  openalex Yang Li, Zhicheng Qiu, Hao Kan, Yang Yang 等 2024-07-24 置信度 0.72 Field-programmable gate arrayMemristorPerceptionComputer scienceEmbedded system
• Learning to operate an imagined speech Brain-Computer Interface involves the spatial and frequency tuning of neural activity
  Brain-Computer Interfaces (BCI) will revolutionize the way people with severe impairment of speech production can communicate. While current efforts focus on training classifiers on vast amounts of neurophysiological signals to decode imagined speech, much les…
  openalex Kinkini Bhadra, Anne‐Lise Giraud, Silvia Marchesotti 2025-02-20 置信度 0.72 Brain–computer interfaceComputer scienceInterface (matter)Human–computer interactionSpeech recognition
• EEG Signal Prediction for Motor Imagery Classification in Brain–Computer Interfaces
  Brain-computer interfaces (BCIs) based on motor imagery (MI) generally require EEG signals recorded from a large number of electrodes distributed across the cranial surface to achieve accurate MI classification. Not only does this entail long preparation times…
  openalex Óscar Wladimir Gómez Morales, Diego Fabián Collazos-Huertas, Andrés Marino Álvarez-Meza, G. Castellanos-Domínguez 2025-04-03 置信度 0.72 Motor imageryBrain–computer interfaceElectroencephalographySIGNAL (programming language)Computer science
• How using brain-machine interfaces influences the human sense of agency
  Brain-machine interfaces (BMI) allows individuals to control an external device by controlling their own brain activity, without requiring bodily or muscle movements. Performing voluntary movements is associated with the experience of agency ("sense of agency"…
  openalex Émilie A. Caspar, Albert De Beir, Gil Lauwers, Axel Cleeremans 等 2021-01-07 置信度 0.72 Sense of agencyAgency (philosophy)PsychologyMotor imageryAppropriation
• Modulation of Brain Activity with Noninvasive Transcranial Direct Current Stimulation (tDCS): Clinical Applications and Safety Concerns
  Transcranial direct current stimulation (tDCS) is a widely-used tool to induce neuroplasticity and modulate cortical function by applying weak direct current over the scalp. In this review, we first introduce the underlying mechanism of action, the brief histo…
  openalex Haichao Zhao, Lei Qiao, Dongqiong Fan, Shuyue Zhang 等 2017-05-09 置信度 0.72 Transcranial direct-current stimulationNeurosciencePsychologyBrain stimulationNeuroplasticity
• Ethical issues raised by incorporating personalized language models into brain-computer interface communication technologies: a qualitative study of individuals with neurological disease
  PURPOSE: To examine the views of individuals with neurodegenerative diseases about ethical issues related to incorporating personalized language models into brain-computer interface (BCI) communication technologies. METHODS: Fifteen semi-structured interviews …
  openalex Eran Klein, Michelle Kinsella, Ian Stevens, Melanie Fried‐Oken 2022-11-20 置信度 0.72 PersonalizationInterface (matter)Grounded theoryNeuroethicsIdentity (music)
• Zeffiro User Interface for Electromagnetic Brain Imaging: a GPU Accelerated FEM Tool for Forward and Inverse Computations in Matlab
  This article introduces the Zeffiro interface (ZI) version 2.2 for brain imaging. ZI aims to provide a simple, accessible and multimodal open source platform for finite element method (FEM) based and graphics processing unit (GPU) accelerated forward and inver…
  openalex Qin He, Atena Rezaei, Sampsa Pursiainen 2019-10-09 置信度 0.72 Computer scienceMATLABMagnetoencephalographyFinite element methodComputational science
• Brain at Work and in Everyday Life as the Next Frontier: Grand Field Challenges for Neuroergonomics
  International audience
  openalex Frédéric Dehais, Waldemar Karwowski, Hasan Ayaz 2020-10-27 置信度 0.72 FrontierGrand ChallengesField (mathematics)Work (physics)Everyday life
• Toward the Clinical Translation of Implantable Brain–Computer Interfaces for Motor Impairment: Research Trends and Outcome Measures
  Implantable brain-computer interfaces (iBCIs) decode neural signals to control external effectors, offering potential to restore function in individuals with severe motor impairments, such as loss of limb function or speech. This systematic review examines the…
  pubmed Esmee Dohle, Eleanor Swanson, Luka Jovanović, Suraya Yusuf 等 2025 Aug 置信度 0.82 CINAHLPhysical medicine and rehabilitationBrain–computer interfaceMEDLINENeuroprosthetics
• Business Simulation Games Analysis Supported by Human-Computer Interfaces: A Systematic Review
  This article performs a Systematic Review of studies to answer the question: What are the researches related to the learning process with (Serious) Business Games using data collection techniques with Electroencephalogram or Eye tracking signals? The PRISMA de…
  openalex Cleiton Pons Ferreira, Carina Soledad González González, Diana F. Adamatti 2021-07-14 置信度 0.72 Computer scienceTask (project management)Process (computing)Human–computer interactionElaboration
• A 1024-Channel 268-nW/Pixel 36×36 μm 2 /Channel Data-Compressive Neural Recording IC for High-Bandwidth Brain–Computer Interfaces
  This article presents a data-compressive neural recording IC for single-cell resolution high-bandwidth brain–computer interfaces (BCIs). The IC features wired-OR lossy compression during digitization, thus preventing data deluge and massive data movement. By d…
  pubmed MoonHyung Jang, M.T. Hays, Wei-Han Yu, Changuk Lee 等 2023-12-29 置信度 0.82 Channel (broadcasting)Bandwidth (computing)PixelComputer scienceMaterials science
• The Application of Entropy in Motor Imagery Paradigms of Brain–Computer Interfaces
  Background: In motor imagery brain–computer interface (MI-BCI) research, electroencephalogram (EEG) signals are complex and nonlinear. This complexity and nonlinearity render signal processing and classification challenging when employing traditional linear me…
  openalex Chengzhen Wu, Bo Yao, Xin Zhang, Ting Li 等 2025-02-08 置信度 0.72 Motor imageryBrain–computer interfaceHuman–computer interactionComputer sciencePsychology
• Decoding the brain: From neural representations to mechanistic models
  A central principle in neuroscience is that neurons within the brain act in concert to produce perception, cognition, and adaptive behavior. Neurons are organized into specialized brain areas, dedicated to different functions to varying extents, and their func…
  openalex Mackenzie Weygandt Mathis, Adriana Perez Rotondo, Edward F. Chang, Andreas S. Tolias 等 2024-10-01 置信度 0.72 BiologyDecoding methodsNeuroscienceNeural decodingCognitive science
• Brain Tumor Characterization Using Radiogenomics in Artificial Intelligence Framework
  Brain tumor characterization (BTC) is the process of knowing the underlying cause of brain tumors and their characteristics through various approaches such as tumor segmentation, classification, detection, and risk analysis. The substantial brain tumor charact…
  openalex Biswajit Jena, Sanjay Saxena, Gopal Krishna Nayak, Antonella Balestrieri 等 2022-08-22 置信度 0.72 RadiogenomicsRadiomicsArtificial intelligenceComputer sciencePrecision medicine
• Computer Science and Information Technology
  was collocated with 12 th International Conference on Computer Science and Information Technology (CCSIT 2022). The conferences attracted many local and international delegates, presenting a balanced mixture of intellect from the East and from the West.
  openalex 2022-07-30 置信度 0.72 Computer science
• MIB-1 staining index and peritumoral brain edema of meningiomas
  BACKGROUND: Growth rates and tumor aggressiveness of meningiomas are thought to be closely related to brain edema development. However, histopathologic data alone are not consistently accurate predictors of the behavior and clinical course of a meningioma. MET…
  openalex Mitsunobu Ide, Minoru Jimbo, Masaaki Yamamoto, Yutaka UMEBARA 等 1996-07-01 置信度 0.72 EdemaMedicineImmunostainingMeningiomaPathology
• Brain Computer Interfaces and Human Rights: Brave new rights for a brave new world
  Digital health applications include a wide range of wearable, implantable, injectable and ingestible digital medical devices. Many of these devices use machine learning algorithms to assist medical prognosis and decision-making. One of the most compelling digi…
  openalex Marietjie Botes 2022-06-20 置信度 0.72 Human rightsInternet privacyHuman enhancementDehumanizationNeuroethics
• Synergizing DeepSeek's artificial intelligence innovations with brain–computer interfaces
  Abstract The integration of artificial intelligence (AI) and brain–computer interfaces (BCIs) represents a significant advancement in neurotechnology, with broad potential applications in healthcare, communication, and human augmentation. This study examines t…
  openalex Canbiao Wu, Nayu Chen, Tuo Sun, Ping Tan 等 2025-06-01 置信度 0.72 Computer scienceHuman–computer interactionCognitive scienceBrain–computer interfaceArtificial intelligence
• Efficacy of kinesthetic motor imagery based brain computer interface combined with tDCS on upper limb function in subacute stroke
  This study investigates whether the combined effect of kinesthetic motor imagery-based brain computer interface (KI-BCI) and transcranial direct current stimulation (tDCS) on upper limb function in subacute stroke patients is more effective than using KI-BCI o…
  openalex Zhang Ming, Yu Wu, Jia Fan, Gao Ling 等 2025-04-07 置信度 0.72 Kinesthetic learningMotor imageryBrain–computer interfacePhysical medicine and rehabilitationMotor function
• Three dimensional two-photon brain imaging in freely moving mice using a miniature fiber coupled microscope with active axial-scanning
  We present a miniature head mounted two-photon fiber-coupled microscope (2P-FCM) for neuronal imaging with active axial focusing enabled using a miniature electrowetting lens. We show three-dimensional two-photon imaging of neuronal structure and record neuron…
  openalex Baris N. Ozbay, Gregory L. Futia, Ming Ma, Victor M. Bright 等 2018-05-18 置信度 0.72 ElectrowettingOpticsTwo-photon excitation microscopyLens (geology)Microscope
• Simulated Perceptual Grouping: An Application to Human-Computer Interaction
  The perceptual principles that allow people to group visually similar objects into entities, or groups , have been called the Gestalt Laws of perception. Two well known principles of perceptual grouping are proximity and similarity: objects that lie close toge…
  openalex Kristinn R. Þórisson 2019-05-23 置信度 0.72 PerceptionComputer scienceHuman–computer interactionArtificial intelligencePsychology
• Metaverse technologies in product management, branding and communications: virtual and augmented reality, artificial intelligence, non-fungible tokens and brain-computer interface
  Purpose To examine the effects of the metaverse on firms’ marketing activities. Design/methodology/approach A conceptual paper. Findings It provides evidence of the growing importance of different value capture mechanisms in the metaverse. Originality/value Am…
  openalex Nir Kshetri 2023-11-03 置信度 0.72 MetaverseOriginalityValue (mathematics)Computer scienceProduct (mathematics)
• Improving EEG based brain computer interface emotion detection with EKO ALSTM model
  Decoding signals from the CNS brain activity is done by a computer-based communication device called a BCI. In contrast, the system is considered compelling communication equipment enabling command, communication, and action without using neuromuscular or musc…
  openalex R. Kishore Kanna, Preety Shoran, Meenakshi Yadav, Mohammad Nadeem Ahmed 等 2025-07-01 置信度 0.72 Brain–computer interfaceComputer scienceElectroencephalographyInterface (matter)Human–computer interaction
• Chronically Stable, High‐Resolution Micro‐Electrocorticographic Brain‐Computer Interfaces for Real‐Time Motor Decoding
  Brain-computer interfaces (BCIs) enable communication between individuals and computers or other assistive devices by decoding brain activity, thereby reconstructing speech and motor functions for patients with neurological disorders. This study presents a hig…
  openalex Erda Zhou, Xiner Wang, Jizhi Liang, Yang Liu 等 2025-09-06 置信度 0.72 Brain–computer interfaceDecoding methodsComputer scienceCursor (databases)Interface (matter)
• Advanced flexible brain‐computer interfaces and devices for the exploration of neural dynamics
  Abstract The rapid advancement of flexible neural interfaces and devices is revolutionizing our ability to explore the neural foundations of consciousness, intelligence, and behavior. Cutting‐edge developments in materials science and system‐level integration …
  openalex Pancheng Zhu, Mengxia Yu, Mingzheng Wu, Yiyuan Yang 2024-12-01 置信度 0.72 Brain–computer interfaceDynamics (music)Computer scienceHuman–computer interactionNeuroscience
• Brain-computer interfaces for memory enhancement: Scientometric analysis and future directions
  Brain-computer interfaces have the potential to transform society by enhancing brain function. These electronic devices could enable the rapid acquisition of knowledge, preserve memories, and detect neurological conditions affecting memory in their early stage…
  openalex Marianna Evangelia Kapsetaki 2025-10-11 置信度 0.72 ScopusComputer scienceOrder (exchange)Bridge (graph theory)Data science
• Brain Vascular Imaging Techniques
  Recent major improvements in a number of imaging techniques now allow for the study of the brain in ways that could not be considered previously. Researchers today have well-developed tools to specifically examine the dynamic nature of the blood vessels in the…
  openalex Bàrbara Laviña 2016-12-30 置信度 0.72 NeuroscienceBrain diseaseNeuroimagingBlood–brain barrierBrain research
• Control strategies used in lower limb exoskeletons for gait rehabilitation after brain injury: a systematic review and analysis of clinical effectiveness
  BACKGROUND: In the past decade, there has been substantial progress in the development of robotic controllers that specify how lower-limb exoskeletons should interact with brain-injured patients. However, it is still an open question which exoskeleton control …
  openalex Jesús de Miguel-Fernández, Joan Lobo-Prat, Erik C. Prinsen, Josep M. Font-Llagunes 等 2023-02-19 置信度 0.72 ExoskeletonPhysical medicine and rehabilitationRehabilitationGaitMedicine
• The pivotal role of astrocytes in an in vitro stroke model of the blood-brain barrier
  Stabilization of the blood-brain barrier during and after stroke can lead to less adverse outcome. For elucidation of underlying mechanisms and development of novel therapeutic strategies validated in vitro disease models of the blood-brain barrier could be ve…
  openalex Winfried Neuhaus, Fabian Gaiser, Anne Mahringer, Jonas Franz 等 2014-10-28 置信度 0.72 NeuroscienceBlood–brain barrierStroke (engine)AstrocyteIn vitro
• Chronic Probing of Deep Brain Neuronal Activity Using Nanofibrous Smart Conducting Hydrogel‐Based Brain–Machine Interface Probes
  The mechanical mismatch between microelectrode of brain–machine interfaces (BMIs) and soft brain tissue during electrophysiological investigations leads to inflammation, glial scarring, and compromising performance. Herein, a nanostructured, stimuli‐responsive…
  openalex Seyed Shahrooz Zargarian, Chiara Rinoldi, Yasamin Ziai, Anna Zakrzewska 等 2025-01-28 置信度 0.72 Materials scienceSelf-healing hydrogelsMicroelectrodeBiomedical engineeringBrain–computer interface
• Exploring the feasibility of olfactory brain–computer interfaces
  In this study, we explore the feasibility of single-trial predictions of odor registration in the brain using olfactory bio-signals. We focus on two main aspects: input data modality and the processing model. For the first time, we assess the predictability of…
  openalex Nona Rajabi, Irene Zanettin, Antônio H. Ribeiro, Miguel Vasco 等 2025-05-26 置信度 0.72 Computer scienceArtificial intelligenceElectroencephalographyClassifier (UML)Convolutional neural network
• Topological Quantum Switching Enabled Neuroelectronic Synaptic Modulators for Brain Computer Interface
  Abstract Aging and genetic‐related disorders in the human brain lead to impairment of daily cognitive functions. Due to their neural synaptic complexity and the current limits of knowledge, reversing these disorders remains a substantial challenge for brain–co…
  openalex Dani S. Assi, Hongli Huang, Vaithinathan Karthikeyan, Vaskuri C. S. Theja 等 2024-03-27 置信度 0.72 NeuromodulationNeuroscienceNeuromorphic engineeringBrain–computer interfaceComputer science
• Self-powered electrotactile textile haptic glove for enhanced human-machine interface
  Human-machine interface (HMI) plays an important role in various fields, where haptic technologies provide crucial tactile feedback that greatly enhances user experience, especially in virtual reality/augmented reality, prosthetic control, and therapeutic appl…
  openalex Guoqiang Xu, Haoyu Wang, Guangyao Zhao, Jingjing Fu 等 2025-03-21 置信度 0.72 Haptic technologySoftware portabilityComputer scienceWearable computerTriboelectric effect
• Waste clearance shapes aging brain health
  Brain health is intimately connected to fluid flow dynamics that cleanse the brain of potentially harmful waste material. This system is regulated by vascular dynamics, the maintenance of perivascular spaces, neural activity during sleep, and lymphatic drainag…
  openalex Li-Feng Jiang-Xie, Antoine Drieu, Jonathan Kipnis 2024-10-11 置信度 0.72 NeuroscienceBrain agingPsychologyCognitive psychologyCognition
• Laser‐Assisted Structuring of Graphene Films with Biocompatible Liquid Crystal Polymer for Skin/Brain‐Interfaced Electrodes
  The work presented here introduces a facile strategy for the development of flexible and stretchable electrodes that harness the robust characteristics of carbon nanomaterials through laser processing techniques on a liquid crystal polymer (LCP) film. By utili…
  openalex Rowoon Park, Dong Hyeon Lee, Chin Su Koh, Young Woo Kwon 等 2023-10-11 置信度 0.72 Materials scienceGrapheneElectrodeNanotechnologyLaser
• BrainFusion: a Low‐Code, Reproducible, and Deployable Software Framework for Multimodal Brain‒Computer Interface and Brain‒Body Interaction Research
  This study presents BrainFusion, a unified software framework designed to improve reproducibility and support translational applications in multimodal brain-computer interface (BCI) and brain-body interaction research. While ​electroencephalography (EEG)​​-bas…
  openalex Wenhao Li, Chenyang Gao, Zhaobo Li, Yunheng Diao 等 2025-06-05 置信度 0.72 Computer scienceBrain–computer interfaceExecutableSoftwareElectroencephalography
• EEG and Deep Learning Based Brain Cognitive Function Classification
  Electroencephalogram signals are used to assess neurodegenerative diseases and develop sophisticated brain machine interfaces for rehabilitation and gaming. Most of the applications use only motor imagery or evoked potentials. Here, a deep learning network bas…
  openalex Saraswati Sridhar, Vidya Manian 2020-12-21 置信度 0.72 Motor imageryCognitionElectroencephalographyAudiologyPsychology
• Flexible polyimide-based hybrid opto-electric neural interface with 16 channels of micro-LEDs and electrodes
  Abstract In this paper, a polyimide-based flexible device that integrates 16 micro-LEDs and 16 IrOx-modified microelectrodes for synchronous photostimulation and neural signal recording is presented. The 4 × 4 micro-LEDs (dimensions of 220 × 270 × 50 μm3, 700 …
  openalex Bowen Ji, Zhejun Guo, Minghao Wang, Bin Yang 等 2018-08-21 置信度 0.72 MicroelectrodePolyimideMaterials scienceMultielectrode arrayElectrode
• From Nose to Brain: Un-Sensed Electrical Currents Applied in the Nose Alter Activity in Deep Brain Structures
  Rules linking patterns of olfactory receptor neuron activation in the nose to activity patterns in the brain and ensuing odor perception remain poorly understood. Artificially stimulating olfactory neurons with electrical currents and measuring ensuing percept…
  openalex Tali Weiss, Sagit Shushan, Aharon Ravia, Avital Hahamy 等 2016-09-02 置信度 0.72 NeuroscienceOlfactory systemOdorOlfactory bulbPerception
• The impact of non-invasive brain-computer interface technology on the therapeutic effect of patients with spinal cord injury: a summary of evidence based on meta-analysis
  The objective of this study is to systematically evaluate the effects of non-invasive brain-computer interface technology on motor and sensory functions and daily living abilities of patients with spinal cord injuries. In addition, the study will investigate t…
  pubmed Zhuojing Sun, Song Hu, Jiaju Zhu, Zijun Ye 等 2025 置信度 0.82 MedicinePhysical medicine and rehabilitationSpinal cord injurySpinal cordBrain–computer interface
• Spatial mapping of the brain metabolome lipidome and glycome
  Metabolites, lipids, and glycans are fundamental but interconnected classes of biomolecules that form the basis of the metabolic network. These molecules are dynamically channeled through multiple pathways that govern cellular physiology and pathology. Here, w…
  openalex Harrison A. Clarke, Xin Ma, Cameron J. Shedlock, Terrymar Medina 等 2025-05-12 置信度 0.72 LipidomeGlycomeMetabolomeLipidomicsComputational biology
• RGB-D Cameras and Brain–Computer Interfaces for Human Activity Recognition: An Overview
  This paper provides a perspective on the use of RGB-D cameras and non-invasive brain-computer interfaces (BCIs) for human activity recognition (HAR). Then, it explores the potential of integrating both the technologies for active and assisted living. RGB-D cam…
  pubmed Grazia Iadarola, Alessandro Mengarelli, Sabrina Iarlori, Andrea Monteriù 等 2025 Oct 10 置信度 0.82 Activity recognitionHuman–computer interactionSoftware deploymentComputer scienceContext (archaeology)
• Dissecting functional contributions of the social brain to strategic behavior
  openalex Arkady Konovalov, Christopher Hill, Jean Daunizeau, Christian C. Ruff 2021-08-17 置信度 0.72 Temporoparietal junctionPsychologySocial neuroscienceSocial cognitionDissociation (chemistry)
• Comparative evaluation of ChatGPT and Gemini in brain-computer interfaces patient education: A multi-dimensional analysis of reliability, accuracy, comprehensibility, and readability
  Brain-Computer Interfaces (BCI) are a type of life-altering neurotechnology, but their inherent complexity poses significant challenges to patient education. Large Language Models (LLMs), such as ChatGPT and Gemini, offer new possibilities to address this chal…
  pubmed Shichao Liu, L. Joseph Su, Qian He, Mingsong Qiu 等 2025-10-24 置信度 0.82 ReadabilityComputer scienceField (mathematics)Expert systemHuman–computer interaction
• Informed consent competency assessment for brain-computer interface clinical research and application in psychiatric disorders: A systematic review
  BACKGROUND: Brain-computer interface (BCI) technology is rapidly advancing in psychiatry. Informed consent competency (ICC) assessment among psychiatric patients is a pivotal concern in clinical research. AIM: To analyze the assessment of ICC and form a framew…
  pubmed Jia-Yue Si, Zi-Yan Lin, Di-Ga Gan, Xinyang Zhang 等 2025 Aug 19 置信度 0.82 PsychiatryMedicineInformed consentSystematic reviewMood
• A systematic review of immersive virtual reality applications for higher education: Design elements, lessons learned, and research agenda
  Researchers have explored the benefits and applications of virtual reality (VR) in different scenarios. VR possesses much potential and its application in education has seen much research interest lately. However, little systematic work currently exists on how…
  openalex Jaziar Radianti, Tim A. Majchrzak, Jennifer Fromm, Isabell Wohlgenannt 2019-12-09 置信度 0.72 Computer scienceVirtual realityUsabilityDomain (mathematical analysis)Instructional simulation
• Rehabilitation of Motor Function after Stroke: A Multiple Systematic Review Focused on Techniques to Stimulate Upper Extremity Recovery
  Stroke is one of the leading causes for disability worldwide. Motor function deficits due to stroke affect the patients' mobility, their limitation in daily life activities, their participation in society and their odds of returning to professional activities.…
  openalex Samar M. Hatem, Geoffroy Saussez, Margaux della Faille, Vincent Prist 等 2016-09-12 置信度 0.72 RehabilitationPhysical medicine and rehabilitationStroke (engine)Psychological interventionPhysical therapy
• Skin-interfaced multimodal sensing and tactile feedback system as enhanced human-machine interface for closed-loop drone control
  Unmanned aerial vehicles have undergone substantial development and market growth recently. With research focusing on improving control strategies for better user experience, feedback systems, which are vital for operator awareness of surroundings and flight s…
  openalex Chun Ki Yiu, Yiming Liu, Woo‐Young Park, Jian Li 等 2025-03-26 置信度 0.72 DroneComputer scienceInterface (matter)UsabilityHuman–computer interaction
• Dual-Alpha: a large EEG study for dual-frequency SSVEP brain–computer interface
  BACKGROUND: The domain of brain-computer interface (BCI) technology has experienced significant expansion in recent years. However, the field continues to face a pivotal challenge due to the dearth of high-quality datasets. This lack of robust datasets serves …
  openalex Yike Sun, Liyan Liang, Yuhan Li, Xiaogang Chen 等 2024-01-01 置信度 0.72 Brain–computer interfaceComputer scienceBottleneckElectroencephalographyField (mathematics)
• Astrocytes: biology and pathology
  Astrocytes are specialized glial cells that outnumber neurons by over fivefold. They contiguously tile the entire central nervous system (CNS) and exert many essential complex functions in the healthy CNS. Astrocytes respond to all forms of CNS insults through…
  openalex Michael V. Sofroniew, Harry V. Vinters 2009-12-09 置信度 0.72 AstrogliosisAstrocyteGlial scarBiologyGliosis
• Control strategies for active lower extremity prosthetics and orthotics: a review
  : Technological advancements have led to the development of numerous wearable robotic devices for the physical assistance and restoration of human locomotion. While many challenges remain with respect to the mechanical design of such devices, it is at least eq…
  openalex Michael R. Tucker, Jérémy Olivier, Anna Pagel, Hannes Bleuler 等 2015-01-01 置信度 0.72 OrthoticsContext (archaeology)Computer scienceWearable computerControl (management)
• Augmenting Electroencephalogram Transformer for Steady-State Visually Evoked Potential-Based Brain–Computer Interfaces
  Objective: Advancing high-speed steady-state visually evoked potential (SSVEP)-based brain-computer interface (BCI) systems requires effective electroencephalogram (EEG) decoding through deep learning. However, challenges persist due to data sparsity and the u…
  pubmed Jin Yue, Xiaolin Xiao, Kun Wang, Weibo Yi 等 2025 置信度 0.82 Brain–computer interfaceElectroencephalographyTransformerComputer scienceArtificial intelligence
• Nano-Architectural Approaches for Improved Intracortical Interface Technologies
  Intracortical microelectrodes (IME) are neural devices that initially were designed to function as neuroscience tools to enable researchers to understand the nervous system. Over the years, technology that aids interfacing with the nervous system has allowed t…
  openalex Youjoung Kim, Seth M. Meade, Keying Chen, Feng He 等 2018-07-17 置信度 0.72 InterfacingComputer scienceInterface (matter)NeuroprostheticsNeural Prosthesis
• Integrated platform for multiscale molecular imaging and phenotyping of the human brain
  Understanding cellular architectures and their connectivity is essential for interrogating system function and dysfunction. However, we lack technologies for mapping the multiscale details of individual cells and their connectivity in the human organ-scale sys…
  openalex Juhyuk Park, Ji Wang, Webster Guan, Lars Gjesteby 等 2024-06-13 置信度 0.72 Human brainComputer scienceSlicingPipeline (software)Scalability
• Effects and neural mechanisms of a brain–computer interface-controlled soft robotic glove on upper limb function in patients with subacute stroke: a randomized controlled fNIRS study
  BACKGROUND AND PURPOSE: The brain-computer interface-based soft robotic glove (BCI-SRG) holds promise for upper limb rehabilitation in subacute stroke patients, yet its efficacy and neural mechanisms are unclear. This study aimed to investigate the therapeutic…
  pubmed Xiang Ji, Xia Lu, Yi Xu, Wenbin Zhang 等 2025 Jul 24 置信度 0.82 Physical medicine and rehabilitationStroke (engine)Brain–computer interfaceNeurologyMedicine
• Microinstrumentation for Brain Organoids
  Brain organoids are three-dimensional aggregates of self-organized differentiated stem cells that mimic the structure and function of human brain regions. Organoids bridge the gaps between conventional drug screening models such as planar mammalian cell cultur…
  openalex Devan Patel, Saniya Shetty, Chris Acha, Itzy E. Morales Pantoja 等 2024-01-13 置信度 0.72 OrganoidComputer scienceMicrofluidicsNanotechnologyInterfacing
• Traumatic Brain Injury (TBI) Detection: Past, Present, and Future
  Traumatic brain injury (TBI) can produce temporary biochemical imbalance due to leaks through cell membranes or disruption of the axoplasmic flow due to the misalignment of intracellular neurofilaments. If untreated, TBI can lead to Alzheimer's, Parkinson's, o…
  openalex A.T. Alouani, Tarek Elfouly 2022-10-03 置信度 0.72 Traumatic brain injuryNeuroimagingNeuroscienceElectroencephalographyMedicine
• Wearable Haptic Feedback Interfaces for Augmenting Human Touch
  Abstract The rapid development of virtual and augmented reality has highlighted the growing need for haptic feedback interfaces, particularly in portable or wearable formats. These haptic feedback interfaces significantly enhance the immersive experiences of u…
  openalex Shubham Patel, Zhoulyu Rao, Maggie Yang, Cunjiang Yu 2025-01-23 置信度 0.72 Haptic technologyWearable computerHuman–computer interactionMaterials scienceWearable technology
• A Survey and Tutorial of EEG-Based Brain Monitoring for Driver State Analysis
  The driver's cognitive and physiological states affect his/her ability to control the vehicle. Thus, these driver states are essential to the safety of automobiles. The design of advanced driver assistance systems (ADAS) or autonomous vehicles will depend on t…
  openalex Ce Zhang, Azim Eskandarian 2021-01-21 置信度 0.72 ElectroencephalographyComputer sciencePreprocessorArtifact (error)Advanced driver assistance systems
• The killifish visual system as an in vivo model to study brain aging and rejuvenation
  Worldwide, people are getting older, and this prolonged lifespan unfortunately also results in an increased prevalence of age-related neurodegenerative diseases, contributing to a diminished life quality of elderly. Age-associated neuropathies typically includ…
  openalex Sophie Vanhunsel, Steven Bergmans, An Beckers, Isabelle Étienne 等 2021-08-17 置信度 0.72 KillifishNeurodegenerationNeuroscienceBiologyVertebrate
• Brain-Computer Interfaces in the Rehabilitation of Stroke and Spinal Cord Injury: A Systematic Review and Meta-Analysis of Clinical Efficacy
  Brain-computer interfaces (BCIs) have emerged as innovative tools for neurorehabilitation, enabling patients with stroke and spinal cord injury (SCI) to engage in task-specific training through direct neural control of external devices. Despite growing evidenc…
  pubmed Usman Ali, Junaid Aamir Khan, Mohammad Ahsan, Bira Altaf 等 2025 置信度 0.82 MedicineRehabilitationPhysical medicine and rehabilitationStroke (engine)Physical therapy
• Brain‐Computer Interfaces Using Flexible Electronics: An a‐IGZO Front‐End for Active ECoG Electrodes
  Brain-computer interfaces (BCIs) are evolving toward higher electrode count and fully implantable solutions, which require extremely low power densities (<15mW cm -2 ). To achieve this target, and allow for a large and scalable number of channels, flexible …
  pubmed Kyle van Oosterhout, Ashley Chilundo, Mariana P. Branco, Erik J. Aarnoutse 等 2024-12-18 置信度 0.82 Brain–computer interfaceElectrodeElectronicsFront and back endsFront (military)
• Global Trends in Education: Artificial Intelligence, Postplagiarism, and Future-focused Learning for 2025 and Beyond – 2024–2025 Werklund Distinguished Research Lecture
  In this distinguished research lecture, Dr. Sarah Elaine Eaton explores how artificial intelligence (AI) is transforming global education and reshaping our approach to teaching, learning, and assessment. Her talk will examine breakthrough technologies that are…
  openalex Sarah Elaine Eaton 2025-03-19 置信度 0.72 PsychologySociologyArtificial intelligenceComputer science
• A Bibliometric Review of Brain–Computer Interfaces in Motor Imagery and Steady-State Visually Evoked Potentials for Applications in Rehabilitation and Robotics
  In this paper, a bibliometric review is conducted on brain-computer interfaces (BCI) in non-invasive paradigms like motor imagery (MI) and steady-state visually evoked potentials (SSVEP) for applications in rehabilitation and robotics. An exploratory and descr…
  pubmed Nayibe Chio, Eduardo Quiles, Chio N, Quiles-Cucarella E 2024 Dec 30 置信度 0.82 Brain–computer interfaceMotor imageryRoboticsComputer scienceArtificial intelligence
• A comprehensive review of rehabilitation approaches for traumatic brain injury: efficacy and outcomes
  Traumatic Brain Injury (TBI), particularly in moderate-to-severe cases, remains a leading cause of long-term disability worldwide, affecting over 64 million individuals annually. Its complex and multifactorial nature demands an integrated, multidisciplinary re…
  openalex Ye Shen, Linzhi Jiang, Junmei Lai, Jiahui Hu 等 2025-06-13 置信度 0.72 NeurorehabilitationPsychosocialRehabilitationNeuropsychologyPsychological intervention
• Efficacy of Brain-Computer Interface Therapy for Upper Limb Rehabilitation in Chronic Stroke: Systematic Review and Meta-Analysis of Randomized Controlled Trials
  BACKGROUND: Over 50% of people with chronic stroke experience persistent upper limb dysfunction. Brain-computer interface (BCI) therapy, creating a sensorimotor loop via neural feedback, is a promising alternative; yet, its optimal application remains unclear.…
  pubmed HongJie Chen, Guojun Yun, Chen H, Yun G 2025-12-04 置信度 0.82 MedicineRandomized controlled trialPhysical therapyPhysical medicine and rehabilitationUpper limb
• Artificial intelligence for medicine 2025: Navigating the endless frontier
  Artificial intelligence (AI) is driving transformative changes in the field of medicine, with its successful application relying on accurate data and rigorous quality standards. By integrating clinical information, pathology, medical imaging, physiological sig…
  openalex Jiyan Dai, Huiyu Xu, Tao Chen, Tao Huang 等 2025-01-01 置信度 0.72 FrontierArtificial intelligenceData scienceComputer scienceHistory
• Atlas: a brain for self-driving laboratories
  Self-driving laboratories (SDLs) are next-generation research and development platforms for closed-loop, autonomous experimentation that combine ideas from artificial intelligence, robotics, and high-performance computing.
  openalex Riley J. Hickman, Malcolm Sim, Sergio Pablo‐García, Gary Tom 等 2025-01-01 置信度 0.72 Atlas (anatomy)MedicineAnatomy