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modalities

GeneTech 知识引擎共收录 92 篇相关科研实体，横跨 13 个垂直领域。数据来自 OpenAlex、arXiv、Crossref、PubMed、Europe PMC 等公开学术源，全部可溯源到原文。

年度产出趋势

代表性文献（按质量分排序，前 60 条）

• Toward automated regulatory decision-making: AI-assisted medical device risk classification with multimodal transformers and self-training
  2026 · AI 安全与对齐 · Accurate classification of medical device risk levels is essential for regulatory oversight and clinical safety. Manual classification is labour-intensive and prone to inconsistency, creating bottlenecks in regulatory pr…
• Artificial intelligence and multimodal imaging in orthopaedics: from technological advances to clinical translation
  2026 · 医疗人工智能 · The integration of multimodal medical imaging with artificial intelligence (AI) is potentially catalysing a paradigm shift in orthopaedic diagnosis and treatment, moving beyond experience-based practices toward intellige…
• Videomics and artificial intelligence in endoscopic diagnosis of laryngeal lesions: mapping current evidence through a scoping review
  2026 · 医疗人工智能 · Laryngeal lesions are common and despite advances like high-definition videolaryngoscopy and enhanced imaging modalities such as narrow-band imaging, laryngoscopy remains operator-dependent. In this setting, artificial i…
• Artificial intelligence in rehabilitation: a review of clinical effectiveness, real-world performance, safety, and equity across modalities and settings
  2026 · 医疗人工智能 · Background: Rehabilitation faces a scale problem: millions who could benefit lack timely, effective services. Artificial intelligence (AI) and device-based modalities (e.g., robotics and VR) can extend reach and personal…
• GenAI-Supported Virtual Patients in Health Care Education: Systematic Review
  2026 · 医疗人工智能 · Background: Generative artificial intelligence (GenAI) is enhancing virtual patient simulations in health care education by enabling dynamic, adaptive interactions, reshaping how clinical skills are taught. A synthesis o…
• Brain-computer interface technology for motor rehabilitation in severe stroke: a narrative review.
  2026 · 仿生智能 · This review examines the application of brain-computer interface (BCI) technology for motor rehabilitation in patients with severe stroke-a population often excluded from conventional therapies due to minimal movement. B…
• Rewiring Attention: Virtual Reality and Brain–Computer Interfaces in the Rehabilitation of Unilateral Spatial Neglect
  2026 · 仿生智能 · Unilateral spatial neglect (USN) is a complex cognitive syndrome frequently observed after stroke. Characterized by a failure to attend, respond and orient to stimuli on the side opposite the brain lesion, USN significan…
• Translational perspectives on brain-heart interplay: From methodologies to clinical applications
  2026 · 仿生智能 · The nervous and cardiovascular systems are intricately interconnected in both healthy and diseased conditions. The field of Neurocardiology, which focuses on the complex interaction between the nervous and cardiovascular…
• Digital Twin-Enabled Human–Robot Collaborative Assembly: A Review of Technical Systems, Application Evolution, and Future Outlook
  2026 · 数字孪生 · With the transition from Industry 4.0 to Industry 5.0, human–robot collaborative assembly (HRCA) has progressed from physical copresence to cognitive integration and knowledge sharing. Digital twins (DTs) serve as enabli…
• Digital twins in oncology: Revolutionising precision cancer care
  2026 · 数字孪生 · The emergence of digital twin technology represents a paradigm shift in precision oncology, offering unprecedented opportunities to transform how we diagnose, treat, and monitor cancer patients. Originally conceived in a…
• Exploring ostracism and rejection with different agents in a virtual restaurant (text + image modality)
  2026 · 具身智能 · • Restaurants are a good example where robots can be used to counteract skill shortages. However, processes of social inclusion and exclusion are yet not well-explored in human-robot teams. Previous vignette studies (Arl…
• AI improves consistency in regional brain volumes measured in ultra-low-field MRI and 3T MRI
  2025 · AI 安全与对齐 · This study compares volumetric measurements of various brain regions using different magnetic resonance imaging (MRI) modalities and deep learning models, specifically 3T MRI, ultra-low field (ULF) MRI at 64mT, and AI-en…
• Artificial Intelligence in Gynaecology Oncology
  2025 · 医疗人工智能 · Plain Language Summary Artificial intelligence (AI) is an emerging powerful technology that differs from traditional computer programs in its ability to learn from its results and enhance performance, mimicking human int…
• Development of a personalized learning trajectory using a brain-computer interface
  2025 · 仿生智能 · The object of research is electroencephalogram (EEG) signals obtained as a result of a non-invasive test that records the electrical activity of the brain by placing small sensors (electrodes) on the scalp. The article a…
• Advances in Neuroimaging and Deep Learning for Emotion Detection: A Systematic Review of Cognitive Neuroscience and Algorithmic Innovations.
  2025 · 脑科学 · Background/Objectives: The following systematic review integrates neuroimaging techniques with deep learning approaches concerning emotion detection. It, therefore, aims to merge cognitive neuroscience insights with adva…
• Current progress of digital twin construction using medical imaging
  2025 · 数字孪生 · Medical imaging is fundamental to digital twin technology, enabling patient-specific virtual models of anatomy and physiology. By integrating high-resolution modalities (Magnetic Resonance Imaging (MRI), Computed Tomogra…
• Advances in Neuroimaging and Deep Learning for Emotion Detection: A Systematic Review of Cognitive Neuroscience and Algorithmic Innovations
  2025 · 隐私计算与数据要素 · Background/Objectives: The following systematic review integrates neuroimaging techniques with deep learning approaches concerning emotion detection. It, therefore, aims to merge cognitive neuroscience insights with adva…
• Generative AI model privacy: a survey
  2024 · AI 驱动科学发现 · Abstract The rapid progress of generative AI models has yielded substantial breakthroughs in AI, facilitating the generation of realistic synthetic data across various modalities. However, these advancements also introdu…
• Multimodality Fusion Aspects of Medical Diagnosis: A Comprehensive Review
  2024 · 医疗人工智能 · Utilizing information from multiple sources is a preferred and more precise method for medical experts to confirm a diagnosis. Each source provides critical information about the disease that might otherwise be absent in…
• Applications of Multimodal Artificial Intelligence in Non-Hodgkin Lymphoma B Cells
  2024 · 医疗人工智能 · Given advancements in large-scale data and AI, integrating multimodal artificial intelligence into cancer research can enhance our understanding of tumor behavior by simultaneously processing diverse biomedical data type…
• Artificial intelligence and digital tools for design and execution of cardiovascular clinical trials
  2024 · 医疗人工智能 · Recent advances have given rise to a spectrum of digital health technologies that have the potential to revolutionize the design and conduct of cardiovascular clinical trials. Advances in domain tasks such as automated d…
• Advances and prospects of multi-modal ophthalmic artificial intelligence based on deep learning: a review
  2024 · 医疗人工智能 · BACKGROUND: In recent years, ophthalmology has emerged as a new frontier in medical artificial intelligence (AI) with multi-modal AI in ophthalmology garnering significant attention across interdisciplinary research. Thi…
• Applying the IEEE BRAIN neuroethics framework to intra-cortical brain-computer interfaces
  2024 · 仿生智能 · Abstract Objective. Brain-computer interfaces (BCIs) are neuroprosthetic devices that allow for direct interaction between brains and machines. These types of neurotechnologies have recently experienced a strong drive in…
• Review of Multimodal Data Acquisition Approaches for Brain–Computer Interfaces
  2024 · 仿生智能 · There have been multiple technological advancements that promise to gradually enable devices to measure and record signals with high resolution and accuracy in the domain of brain–computer interfaces (BCIs). Multimodal B…
• Multimodal Fusion of Brain Imaging Data: Methods and Applications
  2024 · 仿生智能 · Abstract Neuroimaging data typically include multiple modalities, such as structural or functional magnetic resonance imaging, diffusion tensor imaging, and positron emission tomography, which provide multiple views for …
• Mental workload assessment by monitoring brain, heart, and eye with six biomedical modalities during six cognitive tasks
  2024 · 仿生智能 · Introduction: The efficiency and safety of complex high precision human-machine systems such as in aerospace and robotic surgery are closely related to the cognitive readiness, ability to manage workload, and situational…
• Enabling electric field model of microscopically realistic brain
  2024 · 仿生智能 · BACKGROUND: Modeling brain stimulation at the microscopic scale may reveal new paradigms for various stimulation modalities. OBJECTIVE: We present the largest map to date of extracellular electric field distributions wit…
• Neuroscience meets behavior: A systematic literature review on magnetic resonance imaging of the brain combined with real‐world digital phenotyping
  2024 · 脑科学 · A primary goal of neuroscience is to understand the relationship between the brain and behavior. While magnetic resonance imaging (MRI) examines brain structure and function under controlled conditions, digital phenotypi…
• A Review of Digital Twinning for Rotating Machinery
  2024 · 数字孪生 · This review focuses on the definitions, modalities, applications, and performance of various aspects of digital twins (DTs) in the context of transmission and industrial machinery. In this regard, the context around Indu…
• Personalized strategies of neurostimulation: from static biomarkers to dynamic closed-loop assessment of neural function
  2024 · 类脑计算 · Despite considerable advancement of first choice treatment (pharmacological, physical therapy, etc.) over many decades, neurological disorders still represent a major portion of the worldwide disease burden. Particularly…
• Explainable artificial intelligence (XAI) in radiology and nuclear medicine: a literature review
  2023 · 医疗人工智能 · Rational Deep learning (DL) has demonstrated a remarkable performance in diagnostic imaging for various diseases and modalities and therefore has a high potential to be used as a clinical tool. However, current practice …
• A comprehensive survey of complex brain network representation
  2023 · 仿生智能 · Recent years have shown great merits in utilizing neuroimaging data to understand brain structural and functional changes, as well as its relationship to different neurodegenerative diseases and other clinical phenotypes…
• Functional Near-Infrared Spectroscopy as a Personalized Digital Healthcare Tool for Brain Monitoring
  2023 · 仿生智能 · The sustained growth of digital healthcare in the field of neurology relies on portable and cost-effective brain monitoring tools that can accurately monitor brain function in real time. Functional near-infrared spectros…
• Recent advancements in multimodal human–robot interaction
  2023 · 仿生智能 · Robotics have advanced significantly over the years, and human-robot interaction (HRI) is now playing an important role in delivering the best user experience, cutting down on laborious tasks, and raising public acceptan…
• A guide to the BRAIN Initiative Cell Census Network data ecosystem
  2023 · 脑科学 · Characterizing cellular diversity at different levels of biological organization and across data modalities is a prerequisite to understanding the function of cell types in the brain. Classification of neurons is also es…
• Equity and Generalizability of Artificial Intelligence for Skin-Lesion Diagnosis Using Clinical, Dermoscopic, and Smartphone Images: A Systematic Review and Meta-Analysis
  2025 · 医疗人工智能 · Background and Objectives: Artificial intelligence (AI) has shown promising performance in skin-lesion classification; however, its fairness, external validity, and real-world reliability remain uncertain. This systemati…
• Electroencephalography (EEG) and the Quest for an Inclusive and Global Neuroscience
  2025 · 脑科学 · The current lack of diversity in neuroimaging datasets limits the potential generalisability of research findings. This situation is also likely to have a downstream impact on our ability to translate fundamental researc…
• A holistic overview of deep learning approach in medical imaging
  2022 · 医疗人工智能 · Medical images are a rich source of invaluable necessary information used by clinicians. Recent technologies have introduced many advancements for exploiting the most of this information and use it to generate better ana…
• Towards using cough for respiratory disease diagnosis by leveraging Artificial Intelligence: A survey
  2022 · 医疗人工智能 · Cough acoustics contain multitudes of vital information about pathomorphological alterations in the respiratory system. Reliable and accurate detection of cough events by investigating the underlying cough latent feature…
• Prospects for improved prevention and treatment of neuropsychiatric disorders: Neuroscience Applied
  2022 · 仿生智能 · Progress in Neuroscience and related fields of research is deepening our understanding of the causes and pathophysiology of neuropsychiatric disorders and opening new avenues for their improved control. Together with mor…
• Multimodal fusion recognition for digital twin
  2022 · 数字孪生 · The digital twin is the concept of transcending reality, which is the reverse feedback from the real physical space to the virtual digital space. People hold great prospects for this emerging technology. In order to real…
• Optical Technologies for the Improvement of Skin Cancer Diagnosis: A Review
  2021 · AI 安全与对齐 · The worldwide incidence of skin cancer has risen rapidly in the last decades, becoming one in three cancers nowadays. Currently, a person has a 4% chance of developing melanoma, the most aggressive form of skin cancer, w…
• Automatic Emotion Recognition for Groups: A Review
  2021 · AI 安全与对齐 · This article aims to summarize and describe research on the topic of automatic group emotion recognition. In recent years, the topic of emotion analysis of groups or crowds has gained interest, with studies performing em…
• Canadian Medical Imaging Inventory, 2019–2020
  2021 · 医疗人工智能 · Context and Policy Issues The purpose of the CMII is to document current practices and developments in the supply, distribution, technical operations, and general clinical use of advanced imaging equipment across Canada.…
• Neurorobotic fusion of prosthetic touch, kinesthesia, and movement in bionic upper limbs promotes intrinsic brain behaviors
  2021 · 仿生智能 · Bionic prostheses have restorative potential. However, the complex interplay between intuitive motor control, proprioception, and touch that represents the hallmark of human upper limb function has not been revealed. Her…
• Combining Stress Management With Pain Neuroscience Education and Exercise Therapy in People With Whiplash-Associated Disorders: A Clinical Perspective
  2021 · 脑科学 · Individuals classified as having whiplash-associated disorder (WAD) grade II, which reflects approximately 93% of people with WAD who are commonly managed by health care professionals, exhibit both physical (eg, pain and…
• Viral vector platforms within the gene therapy landscape
  2021 · 基因技术工具 · Throughout its 40-year history, the field of gene therapy has been marked by many transitions. It has seen great strides in combating human disease, has given hope to patients and families with limited treatment options,…
• The role of artificial intelligence in cosmetic dermatology—Current, upcoming, and future trends
  2020 · 医疗人工智能 · Within the field of cosmetic dermatology, several promising developments utilize artificial intelligence to better patient care. While many new treatments in cosmetic dermatology feature components of artificial intellig…
• Advances in Multimodal Emotion Recognition Based on Brain–Computer Interfaces
  2020 · 仿生智能 · With the continuous development of portable noninvasive human sensor technologies such as brain-computer interfaces (BCI), multimodal emotion recognition has attracted increasing attention in the area of affective comput…
• Developing a Novel Tactile P300 Brain-Computer Interface With a Cheeks-Stim Paradigm
  2020 · 仿生智能 · OBJECTIVE: Tactile brain-computer interface (BCI) systems can provide new communication and control options for patients with impairments of eye movements or vision. One of the most common modalities used in these BCIs i…
• Feedback Modalities in Brain–Computer Interfaces: A Systematic Review
  2020 · 仿生智能 · This systematic review addresses the plausibility of using novel feedback modalities for brain–computer interface (BCI) and attempts to identify the best feedback modality on the basis of the effectiveness or learning ra…
• A Review on Design of Upper Limb Exoskeletons
  2020 · 仿生智能 · Exoskeleton robotics has ushered in a new era of modern neuromuscular rehabilitation engineering and assistive technology research. The technology promises to improve the upper-limb functionalities required for performin…
• Graph Neural Networks in Brain Connectivity Studies: Methods, Challenges, and Future Directions
  2024 · AI 安全与对齐 · Brain connectivity analysis plays a crucial role in unraveling the complex network dynamics of the human brain, providing insights into cognitive functions, behaviors, and neurological disorders. Traditional graph-theore…
• Graph Neural Networks in Brain Connectivity Studies: Methods, Challenges, and Future Directions
  2024 · 脑科学 · Brain connectivity analysis plays a crucial role in unraveling the complex network dynamics of the human brain, providing insights into cognitive functions, behaviors, and neurological disorders. Traditional graph-theore…
• Deep Learning in Medical Ultrasound Analysis: A Review
  2019 · 医疗人工智能 · Ultrasound (US) has become one of the most commonly performed imaging modalities in clinical practice. It is a rapidly evolving technology with certain advantages and with unique challenges that include low imaging quali…
• Sensor Modalities for Brain-Computer Interface Technology: A Comprehensive Literature Review
  2019 · 仿生智能 · Brain-computer interface (BCI) technology is rapidly developing and changing the paradigm of neurorestoration by linking cortical activity with control of an external effector to provide patients with tangible improvemen…
• Multi-attention Recurrent Network for Human Communication Comprehension
  2018 · AI 安全与对齐 · Human face-to-face communication is a complex multimodal signal. We use words (language modality), gestures (vision modality) and changes in tone (acoustic modality) to convey our intentions. Humans easily process and un…
• Clinical applications of machine learning in cardiovascular disease and its relevance to cardiac imaging
  2018 · 医疗人工智能 · Artificial intelligence (AI) has transformed key aspects of human life. Machine learning (ML), which is a subset of AI wherein machines autonomously acquire information by extracting patterns from large databases, has be…
• EEG-Based Brain–Computer Interfaces for Communication and Rehabilitation of People with Motor Impairment: A Novel Approach of the 21st Century
  2018 · 仿生智能 · People with severe motor impairment face many challenges in communication and control of the environment, whilst survivors from neurological disorders have increased demand for advanced, adaptive and personalized rehabil…
• Multi-Modal Motion Activation for Robot Control Using Spiking Neurons
  2018 · 仿生智能 · Robot control is an active field of research, in particular for humanoid robots which present challenging problems. Yet, few of the proposed methods exhibit properties of biological systems. Neurorobotics presents an int…

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