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openalex
Jonathan Huang, Nathan A. Shlobin, Sandi Lam, Michael DeCuypere
2021-10-12
置信度 0.72
MedicineMedulloblastomaBrain tumorEpendymomaRadiology
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Importance. With the booming growth of artificial intelligence (AI), especially the recent advancements of deep learning, utilizing advanced deep learning-based methods for medical image analysis has become an active research area both in medical industry and …
openalex
Xiaoqing Liu, Kunlun Gao, Bo Liu, Chengwei Pan 等
2021-01-01
置信度 0.72
Deep learningComputer scienceArtificial intelligenceConvolutional neural networkField (mathematics)
-
Background: In the past vicennium, several artificial intelligence (AI) and machine learning (ML) models have been developed to assist in medical diagnosis, decision making, and design of treatment protocols. The number of active pathologists in Poland is low,…
openalex
Alhassan Ali Ahmed, Agnieszka Brychcy, Mohamed Abouzid, Martin Witt 等
2023-06-07
置信度 0.72
Cross-sectional studyPerceptionArtificial intelligenceMedicineComputer science
-
Driven by recent advances in Artificial Intelligence (AI) and Computer Vision (CV), the implementation of AI systems in the medical domain increased correspondingly. This is especially true for the domain of medical imaging, in which the incorporation of AI ai…
openalex
Katarzyna Borys, Yasmin Alyssa Schmitt, Meike Nauta, Christin Seifert 等
2023-03-20
置信度 0.72
MedicineMedical imagingMedical physicsRadiology
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OBJECTIVES: This study aimed to systematically review recent health economic evaluations (HEEs) of artificial intelligence (AI) applications in healthcare. The aim was to discuss pertinent methods, reporting quality and challenges for future implementation of …
openalex
Madelon M. Voets, Jeroen Veltman, Cornelis H. Slump, Sabine Siesling 等
2021-12-16
置信度 0.72
ChecklistHealth careGrey literatureData extractionQuality (philosophy)
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Several factors, including advances in computational algorithms, the availability of high-performance computing hardware, and the assembly of large community-based databases, have led to the extensive application of Artificial Intelligence (AI) in the biomedic…
openalex
Dan Shao, Yinfei Dai, Nianfeng Li, Xuqing Cao 等
2021-11-16
置信度 0.72
Computer scienceDomain (mathematical analysis)Artificial intelligenceData scienceProcess (computing)
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Recent years have witnessed increased pressure across the global healthcare system during the COVID-19 pandemic. The COVID-19 pandemic shattered existing healthcare operations and taught us the importance of a resilient and sustainable healthcare system. Digit…
openalex
Laxmi Pandit Vishwakarma, Rajesh Kumar Singh, Ruchi Mishra, Archana Kumari
2023-03-13
置信度 0.72
Health careContext (archaeology)ScopusKnowledge managementHealthcare system
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In current scenario most of food processing industries are majorly focusing on quality of food, nutritional value, and method of processing as the consumers are demanding for foods lined up with qualities, sensory and shelf life of the products. Emergence of t…
openalex
Addanki Mounika, Priyanka Patra, Prameela Kandra
2022-05-18
置信度 0.72
Scope (computer science)Food industryQuality (philosophy)Food processingFood sector
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Artificial Intelligence (AI) has been among the most emerging research and industrial application fields, especially in the healthcare domain, but operated as a black-box model with a limited understanding of its inner working over the past decades. AI algorit…
openalex
Salih Sarp, Murat Kuzlu, Emmanuel Wilson, Ümit Cali 等
2021-06-11
置信度 0.72
DebuggingDomain (mathematical analysis)Computer scienceArtificial intelligenceChronic wound
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Artificial Intelligence (AI) applications in medicine have grown considerably in recent years. AI in the forms of Machine Learning, Natural Language Processing, Expert Systems, Planning and Logistics methods, and Image Processing networks provide great analyti…
openalex
Trevor D. Hadley, Rowland W. Pettit, Tahir Malik, Amelia A. Khoei 等
2020-02-10
置信度 0.72
Health careSustainabilityApplications of artificial intelligenceComputer scienceCloud computing
-
Artificial intelligence has significantly enhanced the research paradigm and spectrum with a substantiated promise of continuous applicability in the real world domain. Artificial intelligence, the driving force of the current technological revolution, has bee…
openalex
Md. Mahadi Hasan, Muhammad Usama Islam, Muhammad Jafar Sadeq, Wai-keung Fung 等
2023-01-03
置信度 0.72
Coronavirus disease 2019 (COVID-19)Containment (computer programming)Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)2019-20 coronavirus outbreakCoronavirus Infections
-
Artificial intelligence (AI) has become a reality in today’s world with the rise of the 4th industrial revolution, especially in the armed forces. Military AI systems can process more data more effectively than traditional systems. Due to its intrinsic computi…
openalex
Adib Bin Rashid, Ashfakul Karim Kausik, Ahamed Al Hassan Sunny, Mehedy Hassan Bappy
2023-01-01
置信度 0.72
Military intelligenceArtificial intelligenceApplications of artificial intelligenceComputer scienceRevolution in Military Affairs
-
Artificial intelligence (AI) is widely recognised as a transformative innovation and is already proving capable of outperforming human clinicians in the diagnosis of specific medical conditions, especially in image analysis within dermatology and radiology. Th…
openalex
Anmol Arora
2020-08-01
置信度 0.72
Transformative learningArtificial intelligenceMedical diagnosisHealth careApplications of artificial intelligence
-
INTRODUCTION: Artificial intelligence is a transformative tool for improving healthcare delivery and diagnostic accuracy in the medical and dental fields. This study aims to assess the readiness of future healthcare workers for artificial intelligence and addr…
openalex
Saman Baseer, Brekhna Jamil, Shehzad Akbar Khan, M. Omar F. Khan 等
2025-04-29
置信度 0.72
Cross-sectional studyMedical educationPsychologyMedicineFamily medicine
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openalex
Chayakrit Krittanawong, Andrew S. Bomback, Usman Baber, Sripal Bangalore 等
2018-07-06
置信度 0.72
MedicinePrecision medicineAnalyticsData scienceArtificial intelligence
-
openalex
Peter Savadjiev, Jaron Chong, Anthony Dohan, Maria Vakalopoulou 等
2018-08-13
置信度 0.72
Interpretation (philosophy)NeuroradiologyMedicineInterventional radiologyRadiology
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The integration of generative artificial intelligence (AI) into adaptive and personalized learning represents a transformative shift in the educational landscape.This research paper investigates the impact of incorporating generative AI into adaptive and perso…
openalex
Manel Guettala, Samir Bourekkache, Okba Kazar, Saad Harous
2024-08-22
置信度 0.72
Generative grammarTransformative learningGenerative modelPersonalizationArtificial intelligence
-
We performed an electronic database search of published works from 2012 to mid-2021 that focus on human gait studies and apply machine learning techniques. We identified six key applications of machine learning using gait data: 1) Gait analysis where analyzing…
openalex
Elsa J. Harris, I‐Hung Khoo, Emel Demircan
2022-01-03
置信度 0.72
Computer scienceArtificial intelligenceGaitMachine learningBiometrics
-
openalex
Sheldon R. Simon
2004-06-22
置信度 0.72
GaitProcess (computing)Gait analysisVariety (cybernetics)Computer science
-
OBJECTIVES: This study sought to examine if fully automated measurements of global longitudinal strain (GLS) using a novel motion estimation technology based on deep learning and artificial intelligence (AI) are feasible and comparable with a conventional spec…
openalex
Ivar Mjåland Salte, Andreas Østvik, Erik Smistad, Daniela Melichova 等
2021-06-16
置信度 0.72
Artificial intelligenceTracking (education)VentricleComputer scienceSegmentation
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The widespread use of Chat Generative Pre-trained Transformer (known as ChatGPT) and other emerging technology that is powered by generative artificial intelligence (GenAI) has drawn attention to the potential ethical issues they can cause, especially in high-…
openalex
Yilin Ning, Salinelat Teixayavong, Yuqing Shang, Julian Savulescu 等
2024-09-17
置信度 0.72
ChecklistGenerative grammarEngineering ethicsPsychologyManagement science
-
BACKGROUND AND PURPOSE: Artificial intelligence algorithms have the potential to become an important diagnostic tool to optimize stroke workflow. Viz LVO is a medical product leveraging a convolutional neural network designed to detect large-vessel occlusions …
openalex
A. Yahav-Dovrat, Mor Saban, Goni Merhav, I. Lankri 等
2020-12-31
置信度 0.72
MedicineStroke (engine)OcclusionWorkflowPredictive value
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Artificial intelligence (AI) has had a profound impact on various industries, and one prominent domain where its influence is evident is in chatbot technology. Chatbots, computer programs designed to simulate human conversation, have evolved significantly thro…
openalex
Farhan Aslam
2023-08-14
置信度 0.72
ChatbotComputer scienceConversationKnowledge managementService (business)
-
The application of artificial intelligence (AI) may revolutionize the healthcare system, leading to enhance efficiency by automatizing routine tasks and decreasing health-related costs, broadening access to healthcare delivery, targeting more precisely patient…
openalex
Jean‐Christophe Bélisle‐Pipon, Vincent Couture, Marie‐Christine Roy, Isabelle Ganache 等
2021-11-02
置信度 0.72
Computer scienceArtificial intelligencePsychology
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Recent years have seen impressive advances in artificial intelligence (AI) and this has stoked renewed concern about the impact of technological progress on the labor market, including on worker displacement. This paper looks at the possible links between AI a…
openalex
Alexandre Georgieff, Raphaela Hyee
2022-05-10
置信度 0.72
ProductivityContext (archaeology)AutomationValue (mathematics)Labour economics
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From Bluetooth enabled hearing aids to robotic caretakers, wearable and smart devices industries are immensely contributing to the development of the healthcare industry with the help of Internet of Things (IoT). Latest technologies like Artificial Intelligenc…
openalex
Dr.A.Narasima Venkatesh
2019-10-30
置信度 0.72
Big dataHealth careComputer scienceWearable computerThe Internet
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The COVID-19 global pandemic is a threat not only to the health of millions of individuals, but also to the stability of infrastructure and economies around the world. The disease will inevitably place an overwhelming burden on healthcare systems that cannot b…
openalex
Mihaela van der Schaar, Ahmed M. Alaa, R. Andrés Floto, Alexander Gimson 等
2020-12-09
置信度 0.72
Health careVariety (cybernetics)Coronavirus disease 2019 (COVID-19)PandemicHealthcare system
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Artificial intelligence provides a promising solution for streamlining COVID-19 diagnoses; however, concerns surrounding security and trustworthiness impede the collection of large-scale representative medical data, posing a considerable challenge for training…
openalex
Xiang Bai, Hanchen Wang, Liya Ma, Yongchao Xu 等
2021-12-15
置信度 0.72
Coronavirus disease 2019 (COVID-19)Computer scienceArtificial intelligenceMedical diagnosisProcess (computing)
-
Artificial intelligence (AI) is present everywhere in the lives of individuals. Unfortunately, several cases of discrimination by AI systems have already been reported. Scholars have warned on risks of AI reproducing existing inequalities or even amplifying th…
openalex
Gaëlle Cachat‐Rosset, Alain Klarsfeld
2023-02-22
置信度 0.72
Computer scienceInclusion (mineral)Equity (law)Diversity (politics)Artificial intelligence
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OBJECTIVE: To determine the anticipated contribution of recently published medical imaging literature, including artificial intelligence (AI), on the workload of diagnostic radiologists. METHODS: This study included a random sample of 440 medical imaging studi…
openalex
Thomas C. Kwee, Robert M. Kwee
2021-06-29
置信度 0.72
WorkloadMedicineOdds ratioInterventional radiologyNeuroradiology
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Current metagenomic tools can fail to identify highly divergent RNA viruses. We developed a deep learning algorithm, termed LucaProt, to discover highly divergent RNA-dependent RNA polymerase (RdRP) sequences in 10,487 metatranscriptomes generated from diverse…
openalex
Xin Hou, Yong He, Pan Fang, Shi-Qiang Mei 等
2024-10-09
置信度 0.72
BiologyRNAComputational biologyGeneticsGene
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In medicine, patients can obtain real benefits from a sham treatment. These benefits are known as the placebo effect. We report two experiments (Experiment I: N = 369; Experiment II: N = 100) demonstrating a placebo effect in adaptive interfaces. Participants …
openalex
Thomas Kosch, Robin Welsch, Lewis L. Chuang, Albrecht Schmidt
2022-06-08
置信度 0.72
PlaceboTask (project management)Computer scienceWord (group theory)Artificial intelligence
-
A significant study has been undertaken in the areas of health care and administration of cutting-edge artificial intelligence (AI) technologies throughout the previous decade. Healthcare professionals studied smart gadgets and other medical technologies, alon…
openalex
Anil Audumbar Pise, Khalid K. Almuzaini, Tariq Ahamed Ahanger, Ahmed Farouk 等
2022-08-03
置信度 0.72
Computer scienceComputer securitySafeguardingHealth careHacker
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openalex
Samantha M. Loi, W.S. Ng, Christopher Lai, Eric Chern-Pin Chua
2024-12-22
置信度 0.72
Medical physicsMedical imagingMedical educationPsychologyArtificial intelligence
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Notice of Violation of IEEE Publication Principles"Affirmative Fusion Process for Improving Wearable Sensor Data Availability in Artificial Intelligence of Medical Things,"by P. M. Kumar, L. U. Khan and C. S. Hong,in IEEE Sensors Journal, Early AccessAfter car…
openalex
Priyan Malarvizhi Kumar, Latif U. Khan, Choong Seon Hong
2022-02-22
置信度 0.72
Sensor fusionWearable computerComputer scienceMachine learningArtificial intelligence
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Artificial intelligence (AI) using machine learning techniques will change healthcare as we know it. While healthcare AI applications are currently trailing behind popular AI applications, such as personalized web-based advertising, the pace of research and de…
openalex
Steffen E. Petersen, Musa Abdulkareem, Tim Leiner
2019-09-10
置信度 0.72
Software deploymentPaceBig dataTransparency (behavior)Data science
-
openalex
Chandrabose Selvaraj, Ishwar Chandra, Sanjeev Kumar Singh
2021-10-23
置信度 0.72
Computer scienceMachine learningPharmaceutical industryArtificial intelligenceProcess (computing)
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Abstract There is an urgent need to transition our economy, society, and culture towards systems and actions that facilitate ecological sustainability. Such radical change requires equally radical transformation of approaches to decision making and resource us…
openalex
Steve J. Bickley, Alison Macintyre, Benno Torgler
2024-01-11
置信度 0.72
SustainabilityFrontierEntrepreneurshipBig dataFace (sociological concept)
-
openalex
Roman Lukyanenko, Wolfgang Maaß, Veda C. Storey
2022-11-28
置信度 0.72
Foundation (evidence)Conceptual frameworkKnowledge managementEmpirical researchComputer science
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Data analytics, machine intelligence, and other cognitive algorithms have been employed in predicting various types of diseases in health care. The revolution of artificial neural networks (ANNs) in the medical discipline emerged for data‐driven applications, …
openalex
Muhammad Mazhar Bukhari, Bader Fahad Alkhamees, Saddam Hussain, Abdu Gumaei 等
2021-01-01
置信度 0.72
Artificial neural networkComputer scienceArtificial intelligenceMachine learning
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A hormonal condition known as a polycystic ovarian syndrome (PCOS) affects around 1 in 10 persons throughout their reproductive years. Weight gain, ovarian cysts, and irregular menstruation periods are all signs of PCOS. A hormone called androgens, which may c…
openalex
Dhruvi Kapadia, Reetu Jain
2023-11-24
置信度 0.72
Computer scienceInformaticsArtificial intelligenceHealth informaticsMachine learning
-
openalex
Stuart Russell
1997-07-01
置信度 0.72
RationalityAgency (philosophy)Field (mathematics)Computer scienceManagement science
-
Wearable continuous glucose monitoring (CGM) sensors are revolutionizing the treatment of type 1 diabetes (T1D). These sensors provide in real-time, every 1-5 min, the current blood glucose concentration and its rate-of-change, two key pieces of information fo…
openalex
Martina Vettoretti, Giacomo Cappon, Andrea Facchinetti, Giovanni Sparacino
2020-07-10
置信度 0.72
Continuous glucose monitoringDiabetes managementDiabetes mellitusBlood Glucose Self-MonitoringComputer science
-
openalex
Yoav Shoham, Nita Goyal
1988-01-01
置信度 0.72
TroubleshootingComputer scienceDisjoint setsQualitative reasoningArtificial intelligence
-
With the development of machine learning and deep learning models, artificial intelligence is now being applied to the field of medicine. In oncology, the use of artificial intelligence for the diagnostic evaluation of medical images such as radiographic image…
openalex
Kenbun Sone, Yusuke Toyohara, Ayumi Taguchi, Yuichiro Miyamoto 等
2021-05-10
置信度 0.72
ColposcopyMedicineArtificial intelligenceMedical physicsGynecologic oncology
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An Artificial Neural Network (ANN) is a mathematical model that tries to simulate the structure and functionalities of biological neural networks. Basic building block of every artificial neural network is artificial neuron, that is, a simple mathematical mode…
openalex
Andrej Krenker, Janez Bešter, Andrej Kos
2011-04-11
置信度 0.72
Artificial neural networkComputer scienceArtificial intelligence
-
We report the results of a survey conducted among ESR members in November and December 2018, asking for expectations about artificial intelligence (AI) in 5-10 years. Of 24,000 ESR members contacted, 675 (2.8%) completed the survey, 454 males (67%), 555 (82%) …
openalex
European Society of Radiology (ESR)
2019-10-31
置信度 0.72
MedicineInterventional radiologyNeuroradiologyRadiologyWorkload
-
openalex
Benjamin T. Burdorf
2019-09-16
置信度 0.72
RadiologyMedical physicsData scienceMedicineMedical education
-
This open access book fills the gap and provides a resource for learning about AI ethics, which is not available to date
openalex
Bernd Carsten Stahl, Doris Schroeder, Rowena Rodrigues
2022-11-01
置信度 0.72
PsychologyEngineering ethicsArtificial intelligenceComputer scienceEngineering
-
Many studies have been published on a variety of clinical applications of artificial intelligence (AI) for sepsis, while there is no overview of the literature. The aim of this review is to give an overview of the literature and thereby identify knowledge gaps…
openalex
Michiel Schinkel, Ketan Paranjape, Rishi Panday, Niclas Skyttberg 等
2019-10-07
置信度 0.72
Generalizability theorySepsisMedicineReceiver operating characteristicIntensive care medicine
-
openalex
Maxim Signaevsky, Marcel Prastawa, Kurt Farrell, Nabil Tabish 等
2019-02-15
置信度 0.72
TauopathyNeuropathologyNeuroscienceArtificial intelligenceMedicine
-
Artificial intelligence (AI) is a powerful technology with an increasing popularity and applications in areas ranging from marketing to banking and finance, from agriculture to healthcare and security, from space exploration to robotics and transport, and from…
openalex
Tan Yiğitcanlar, Nayomi Kankanamge, Massimo Regona, Andres Ruiz Maldonado 等
2020-12-01
置信度 0.72
Urban planningBig dataKnowledge managementContext (archaeology)Emerging technologies
-
openalex
Yunqian Ma, Guodong Guo
2014-01-01
置信度 0.72
Computer scienceVector (molecular biology)BiologyBiochemistryGene
-
BACKGROUND: The study of seizure patterns in electroencephalography (EEG) requires several years of intensive training. In addition, inadequate training and human error may lead to misinterpretation and incorrect diagnosis. Artificial intelligence (AI)-based a…
openalex
Taranjit Kaur, Anirudra Diwakar, Kirandeep Kirandeep, Pranav Mirpuri 等
2021-05-01
置信度 0.72
Artificial intelligenceElectroencephalographyComputer scienceMachine learningRendering (computer graphics)
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Despite the significant emphasis placed on incorporating 21st century skills into the educational framework, particularly at the primary level, recent scholarly works indicate considerable variation in the implementation of these skills across different countr…
openalex
Martina Benvenuti, Angelo Cangelosi, Armin Weinberger, Elvis Mazzoni 等
2023-08-04
置信度 0.72
CreativityCompetence (human resources)21st century skillsLifelong learningContext (archaeology)
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In this paper, we present the potential of Explainable Artificial Intelligence methods for decision support in medical image analysis scenarios. Using three types of explainable methods applied to the same medical image data set, we aimed to improve the compre…
openalex
Samanta Knapič, Avleen Malhi, Rohit Saluja, Kary Främling
2021-09-19
置信度 0.72
Computer scienceConvolutional neural networkSet (abstract data type)Artificial intelligenceDomain (mathematical analysis)
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ChatGPT, an artificial intelligence chatbot, has rapidly gained prominence in various domains, including medical education and healthcare literature. This hybrid narrative review, conducted collaboratively by human authors and ChatGPT, aims to summarize and sy…
openalex
Omar Temsah, Samina Khan, Yazan Chaiah, Abdulrahman Senjab 等
2023-04-08
置信度 0.72
MedicineChatbotNarrative reviewEngineering ethicsNarrative
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Artificial neural networks are a form of artificial computer intelligence that have been the subject of renewed research interest in the last 10 years. Although they have been used extensively for problems in engineering, they have only recently been applied t…
openalex
Dipti Itchhaporia, Peter B. Snow, Robert J. Almassy, William J. Oetgen
1996-08-01
置信度 0.72
Artificial neural networkMedicineArtificial intelligenceMyocardial infarctionCoronary artery disease
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to increase transparency in the work of artificial intelligence systems in the analysis of medical images is called to use methods of explainable artificial intelligence. Our study provides an overview of the current state of application of explainable artific…
openalex
Egor Volkov, Aleksej N. Averkin
2023-05-24
置信度 0.72
Computer scienceTransparency (behavior)Artificial intelligenceState (computer science)Image (mathematics)
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Background Artificial intelligence–based chatbots are emerging as instruments of psychological intervention; however, no relevant studies have been reported in Latin America. Objective The objective of the present study was to evaluate the viability, acceptabi…
openalex
María Carolina Klos, Milagros Escoredo, Angela Joerin, Viviana Lemos 等
2021-05-29
置信度 0.72
AnxietyPsychoeducationRandomized controlled trialChatbotDepression (economics)
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Artificial intelligence (AI) has the potential to improve public health's ability to promote the health of all people in all communities. To successfully realize this potential and use AI for public health functions it is important for public health organizati…
openalex
Stacey Fisher, Laura C. Rosella
2022-11-22
置信度 0.72
BiostatisticsMedicinePublic healthEpidemiologyEnvironmental health
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Interest in implementing artificial intelligence (AI)–based software in the public sector is growing. First implementations and research in individual public services have already been carried out; however, a better understanding of citizens' acceptance of thi…
openalex
Tanja Sophie Gesk, Michael Leyer
2022-04-05
置信度 0.72
Public sectorImplementationPrivate sectorSoftwarePublic domain
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BACKGROUND There is great interest in using artificial intelligence (AI) to screen for skin cancer. This is fueled by a rising incidence of skin cancer and an increasing scarcity of trained dermatologists. AI systems capable of identifying melanoma could save …
openalex
Inga Jagemann, Ole Wensing, Manuel Stegemann, Gerrit Hirschfeld
2023-02-10
置信度 0.72
Conjoint analysisSkin cancerPerspective (graphical)MedicineFamily medicine
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In the era of artificial intelligence (AI), there is a growing interest in replicating human sensory perception. Selective and sensitive bio-inspired sensory receptors with synaptic plasticity have recently gained significant attention in developing energy-eff…
openalex
Atanu Bag, Gargi Ghosh, M. Junaid Sultan, Hamna Haq Chouhdry 等
2024-05-03
置信度 0.72
PerceptionSensory systemScalabilityComputer scienceArtificial intelligence
-
Machine learning and artificial intelligence (AI/ML) models in healthcare may exacerbate health biases. Regulatory oversight is critical in evaluating the safety and effectiveness of AI/ML devices in clinical settings. We conducted a scoping review on the 692 …
openalex
Vijaytha Muralidharan, Boluwatife Adeleye Adewale, Caroline J. Huang, Mfon Thelma Nta 等
2024-10-03
置信度 0.72
MedicineMedical physics
-
openalex
Eun Jeong Gong, Chang Seok Bang
2023-07-25
置信度 0.72
Interpretation (philosophy)Artificial intelligenceCurrent (fluid)Computer sciencePsychology
-
Interpretable artificial intelligence (AI), also known as explainable AI, is indispensable in establishing trustable AI for bench-to-bedside translation, with substantial implications for human well-being. However, the majority of existing research in this are…
openalex
Jin Cao, Ta Zhou, Shaohua Zhi, Saikit Lam 等
2024-01-26
置信度 0.72
Artificial intelligenceAdaptive neuro fuzzy inference systemFuzzy logicComputer scienceFuzzy inference system
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This commentary explores the critical roles of health equity and ethical considerations in the deployment of artificial intelligence (AI) in public health and medicine. As AI increasingly permeates these fields, it promises substantial benefits but also poses …
openalex
Irene Dankwa‐Mullan
2024-08-22
置信度 0.72
MedicinePublic healthHealth promotionDiseaseHealth policy
-
Visual inspection of microscopic samples is still the gold standard diagnostic methodology for many global health diseases. Soil-transmitted helminth infection affects 1.5 billion people worldwide, and is the most prevalent disease among the Neglected Tropical…
openalex
Lin Lin, David Bermejo-Pelaez, Daniel Capellan-Martin, Daniel Cuadrado 等
2021-11-01
置信度 0.72
WorkflowTask (project management)Artificial intelligenceComputer scienceCrowdsourcing
-
openalex
Karthik Seetharam, Sameer Raina, Partho P. Sengupta
2020-07-30
置信度 0.72
MedicineCardiologyInternal medicineArtificial intelligenceComputer science
-
openalex
Francesca Xuereb, Dr Jonathan L Portelli
2024-09-23
置信度 0.72
PerceptionArtificial intelligenceMedical imagingPsychologyMedical physics
-
In an era of clinicians being burned out by electronic medical records and documentation burdens, we might all dream of having a personal scribe to draft progress notes, translate patient instructions, summarize the literature, complete insurance authorization…
openalex
Ron Li, Andre Kumar, Jonathan H. Chen
2023-04-28
置信度 0.72
MedicineOtorhinolaryngologyFamily medicineNeurologySign (mathematics)
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Importance Chat Generative Pre-Trained Transformer (ChatGPT) has shown promising performance in various fields, including medicine, business, and law, but its accuracy in specialty-specific medical questions, particularly in ophthalmology, is still uncertain. …
openalex
Majid Moshirfar, Amal W. Altaf, Isabella M. Stoakes, Jared J. Tuttle 等
2023-06-22
置信度 0.72
MedicineNormalitySpecialtyAnalysis of varianceStatistical significance
-
,
openalex
K.S Itinson
2020-08-29
置信度 0.72
InformatizationMedical educationArtificial intelligenceEngineering managementEngineering
-
Artificial intelligence (AI)-based systems have been shown to reliably recognize cardiovascular disease risk 1 and diagnose conditions such as diabetic retinopathy 2,3 and melanoma 4 from medical images. These advances in image-based medical diagnosis have bee…
openalex
Elaine O. Nsoesie
2018-09-28
置信度 0.72
Artificial intelligencePsychologyComputer science
-
Medical imaging technology plays a key role in modern medical diagnosis and treatment, and the integration of artificial intelligence (AI) technology has revolutionised the field.AI uses deep learning and machine learning algorithms to analyse medical imaging …
openalex
Ziruo Peng, Xiaolin Ren
2024-05-29
置信度 0.72
InterpretabilityArtificial intelligenceComputer scienceMedical imagingField (mathematics)
-
Health care organizations are building, deploying, and self-governing digital health technologies (DHTs), including artificial intelligence, at an increasing rate. This scope necessitates expertise and quality infrastructure to ensure that the technology impac…
openalex
Brenna Loufek, David Vidal, David S. McClintock, Mark A. Lifson 等
2024-09-06
置信度 0.72
AccountabilityHealth careMedicineNursingMedical education
-
In order to realize the “closed-loop management, fixed-point orientation and whole-process traceability” of medical waste, based on face recognition technology and system engineering principle, the IOT monitoring system of medical waste is divided into three l…
openalex
Chao Wang, Yanxia Ma, Gengxin Zhong
2021-07-01
置信度 0.72
TraceabilityMedical wasteProcess (computing)Condition monitoringInformation management
-
Background: An artificial intelligence (AI) algorithm applied to electrocardiography during sinus rhythm has recently been shown to detect concurrent episodic atrial fibrillation (AF). We sought to characterize the value of AI–enabled electrocardiography (AI-E…
openalex
Georgios Christopoulos, Jonathan Graff‐Radford, Camden Lopez, Xiaoxi Yao 等
2020-11-13
置信度 0.72
MedicineAtrial fibrillationElectrocardiographyCardiologyInternal medicine
-
openalex
Ayesha Saadat, Tasmiyah Siddiqui, Shafaq Taseen, Sanila Mughal
2023-08-07
置信度 0.72
Health careArtificial intelligenceModalitiesScale (ratio)Field (mathematics)
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Diabetes self-management and education (DSME) is an integral part of diabetes care and has been shown to improve glycemic control, reduce complications, and increase quality of life (1).The traditional model in which clinicians and diabetes educators share res…
openalex
Gerald Gui Ren Sng, Joshua Yi Min Tung, Daniel Yan Zheng Lim, Yong Mong Bee
2023-03-15
置信度 0.72
MedicineDiabetes mellitusNatural (archaeology)Artificial intelligenceEndocrinology
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Abstract The expansion of the Internet of Things has resulted in new creative solutions, such as smart cities, that have made our lives more productive, convenient, and intelligent. The core of smart cities is the Intelligent Transportation System (ITS) which …
openalex
Sayed Ahmed, Yasser Abdelhamid, Hesham A. Hefny
2023-03-09
置信度 0.72
Traffic flow (computer networking)Traffic congestionIntelligent transportation systemComputer scienceTransport engineering
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openalex
Marieke Haan, Yfke Ongena, Saar Hommes, Thomas C. Kwee 等
2019-03-14
置信度 0.72
Maintenance of CertificationCertificationPerspective (graphical)Lifelong learningMedical education
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Although the pediatric perioperative pain management has been improved in recent years, the valid and reliable pain assessment tool in perioperative period of children remains a challenging task. Pediatric perioperative pain management is intractable not only …
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Jian-Ming Yue, Qi Wang, Bin Liu, Leng Zhou
2024-01-24
置信度 0.72
MedicinePain assessmentPhysical therapyPain management
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The successful utilization of artificial intelligence (AI) systems in medical and healthcare systems has substantially advanced research and publication in scientific journals. This field encompasses a wide range of studies, including image processing, natural…
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Vahid Asadpour, Fagen Xie
2025-11-19
置信度 0.72
Computer scienceArtificial intelligenceConvolutional neural networkImage processingMedical imaging
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This study presents an up-to-date survey of the use of artificial intelligence (AI) in the field of otorhinolaryngology, considering opportunities, research challenges, and research directions. We searched PubMed, the Cochrane Central Register of Controlled Tr…
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Bayu Adhi Tama, Do Hyun Kim, Gyuwon Kim, Soo Whan Kim 等
2020-06-18
置信度 0.72
OtorhinolaryngologyMedicineHead and neck surgeryMedical diagnosisMedical physics
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The applications of artificial intelligence (AI) in aiding clinical decision-making and management of stroke and heart diseases have become increasingly common in recent years, thanks in part to technological advancements and the heightened interest of the res…
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Bach Xuan Tran, Carl A. Latkin, Giang Thu Vu, Huong Lan Thi Nguyen 等
2019-07-29
置信度 0.72
BibliometricsArtificial intelligenceLatent Dirichlet allocationData scienceRobotics
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Artificial intelligence is revolutionizing — and strengthening — modern healthcarethrough technologies that can predict, grasp, learn, and act, whether it's employed toidentify new relationships between genetic codes or to control surgery-assisting robots.It c…
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Mohammed Yousef Shaheen
2021-09-28
置信度 0.72
GRASPHealth careApplications of artificial intelligenceArtificial intelligenceIdentification (biology)
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In response to the growing popularity of artificial intelligence (AI) usage in daily life, AI education is increasingly being provided at the K-12 level, with relevant initiatives being launched worldwide. Examining how these programs have been implemented and…
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Miao Yue, Morris Siu–Yung Jong, Yun Dai
2022-11-24
置信度 0.72
PopularityEmpirical researchMathematics educationComputer scienceScale (ratio)
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Artificial intelligence (AI) is a relatively new branch of computer science involving many disciplines and technologies, including robotics, speech recognition, natural language and image recognition or processing, and machine learning. Recently, AI has been w…
openalex
Yutong Wang, Xiaoyun He, Hui Nie, Jianhua Zhou 等
2020-01-01
置信度 0.72
Artificial intelligenceColorectal cancerComputer scienceCancerMedicine
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tasks that labor is more suited to.
openalex
Ajay Agrawal, Joshua S. Gans, Avi Goldfarb
2019-01-01
置信度 0.72
Artificial intelligenceCognitive scienceComputer scienceManagement scienceNeoclassical economics
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Artificial Intelligence (Al) models are being produced and used to solve a variety of current and future business and technical problems. Therefore, AI model engineering processes, platforms, and products are acquiring special significance across industry vert…
openalex
Chellammal Surianarayanan, John Jeyasekaran Lawrence, Pethuru Raj Chelliah, Edmond Prakash 等
2023-01-22
置信度 0.72
Computer scienceArtificial intelligenceAutomationApplications of artificial intelligenceVariety (cybernetics)
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Archives > Volume 20 (2023) > Issue 2 > Item 05 DOI: 10.55521/10-020-205 Frederic G. Reamer, Ph.D. Rhode Island College freamer@ric.edu Full disclosure: Frederic G. Reamer is a member of the IJSWVE editorial board. IJSWVE uses an anonymous review process in wh…
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Frederic G. Reamer
2023-10-30
置信度 0.72
Engineering ethicsWork (physics)Social workEthical issuesPsychology
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openalex
He Huang, Po-Chou Shih, Yuelan Zhu, Wei Gao
2021-06-26
置信度 0.72
Computer scienceProcess (computing)Cluster analysisArtificial neural networkSupport vector machine
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INTRODUCTION: As artificial intelligence (AI) transforms healthcare, medical education must adapt to equip future physicians with the necessary competencies. However, little is known about the differences in AI knowledge, attitudes, and practices between under…
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Rohankumar Gandhi, Alpesh Parmar, Jimmy Kagathara, Dhruv Lakkad 等
2024-08-20
置信度 0.72
MedicineBridging (networking)Medical educationComputer scienceComputer network
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Alzheimer's disease is a neurocognitive disorder and one of the contributing factors to dementia. According to the World Health Organization, this disease has a sig-nificant impact on the global population's health, with the number of affected individuals stea…
openalex
Wenli Zhang, Yifan Li, Wentao Ren, Bo Liu
2023-10-22
置信度 0.72
MedicineDiseaseNeurocognitiveDementiaContext (archaeology)
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openalex
Steven Lin, Tait D. Shanafelt, Steven M. Asch
2018-04-07
置信度 0.72
MedicineDocumentationMEDLINEPolitical scienceLaw
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OBJECTIVE: The likelihood of timely treatment for cervical cancer increases with timely detection of abnormal cervical cells. Automated methods of detecting abnormal cervical cells were established because manual identification requires skilled pathologists an…
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Leila Allahqoli, Antonio Simone Laganà, Afrooz Mazidimoradi, Hamid Salehiniya 等
2022-11-13
置信度 0.72
ColposcopyMedicineCervical cancerMEDLINEMedical diagnosis
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Aishwarya Kumar, Puneet Kumar Gupta, Ankita Srivastava
2020-05-07
置信度 0.72
Coronavirus disease 2019 (COVID-19)Pandemic2019-20 coronavirus outbreakSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)Emerging technologies
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Purpose The hospitality industry experienced an unanticipated challenge from the COVID-19 pandemic. However, research in this area is scarce. Accordingly, this study aims to unfold a three-angled research agenda to intensify the knowledge advancement in the ho…
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Loveleen Gaur, Anam Afaq, Gurmeet Singh, Yogesh K. Dwivedi
2021-08-24
置信度 0.72
HospitalityHospitality industryArtificial intelligenceRoboticsOriginality