医疗人工智能 · 全部实体（第 59 / 100 页）

本页收录第 5801–5900 条，共 10000 条 · 返回 医疗人工智能 首页

• Artificial intelligence-assisted early warning and continuous monitoring system for prevention of cardiac emergencies: A comprehensive review
  Abstract: Cardiovascular diseases (CVDs) remain the leading cause of mortality worldwide, accounting for millions of deaths annually. A significant proportion of these deaths result from preventable cardiac emergencies, including acute myocardial infarction, c…
  datacite G. Elango, P. Sumithra, Salomeen Rani. S 2026 置信度 0.66
• From Zadig to Artificial Intelligence: Clinical Observation, Epistemic Fragility, and the Future of Medical Reasoning
  ABSTRACT: Background: The rapid integration of artificial intelligence (AI) into clinical practice has revived longstanding debates about the foundations of diagnostic reasoning. While AI systems rely on large datasets derived from past patients, the clinician…
  datacite Asmell Ramos Cabrera - (MD, MSc, FWACP) 2026 置信度 0.66 From Zadig to Artificial Intelligence: Clinical Observation, Epistemic Fragility, and the Future of Medical ReasoningSSAR PublishersClinical reasoningArtificial intelligenceMedical epistemology
• From Zadig to Artificial Intelligence: Clinical Observation, Epistemic Fragility, and the Future of Medical Reasoning
  ABSTRACT: Background: The rapid integration of artificial intelligence (AI) into clinical practice has revived longstanding debates about the foundations of diagnostic reasoning. While AI systems rely on large datasets derived from past patients, the clinician…
  datacite Asmell Ramos Cabrera - (MD, MSc, FWACP) 2026 置信度 0.66 From Zadig to Artificial Intelligence: Clinical Observation, Epistemic Fragility, and the Future of Medical ReasoningSSAR PublishersClinical reasoningArtificial intelligenceMedical epistemology
• AI-Based Image Analysis in Diagnostic Devices
  AI-based image analysis has emerged as the leading application of artificial intelligence in diagnostic medical devices,with over 520 FDA-cleared AI/ML-enabled devices by 2023 -- the majority addressing radiology, pathology,ophthalmology, and dermatology image…
  datacite Helena Popescu, Andreas Lindberg, Andreas Moreau 2024 置信度 0.66 AI image analysis; diagnostic device; convolutional neural network; federated learning; radiology; pathology; retinal imaging; autonomous reporting; SaMD; workflow integration
• AI-Based Image Analysis in Diagnostic Devices
  AI-based image analysis has emerged as the leading application of artificial intelligence in diagnostic medical devices,with over 520 FDA-cleared AI/ML-enabled devices by 2023 -- the majority addressing radiology, pathology,ophthalmology, and dermatology image…
  datacite Helena Popescu, Andreas Lindberg, Andreas Moreau 2024 置信度 0.66 AI image analysis; diagnostic device; convolutional neural network; federated learning; radiology; pathology; retinal imaging; autonomous reporting; SaMD; workflow integration
• Advanced Image Processing and Artificial Intelligence for Enhancement, Segmentation, and Intelligent Visual Analysis: A Comprehensive Review
  Digital image processing has become a cornerstone of modern scientific and technological systems, supporting a wide range of applications in medicine, industry, remote sensing, security, and autonomous technologies. The rapid growth of imaging devices and comp…
  datacite Hayawi, Heyam A. A. 2026 置信度 0.66
• Advanced Image Processing and Artificial Intelligence for Enhancement, Segmentation, and Intelligent Visual Analysis: A Comprehensive Review
  Digital image processing has become a cornerstone of modern scientific and technological systems, supporting a wide range of applications in medicine, industry, remote sensing, security, and autonomous technologies. The rapid growth of imaging devices and comp…
  datacite Hayawi, Heyam A. A. 2026 置信度 0.66
• Artificial intelligence-based software as a medical device: regulatory evolution toward continuous oversight
  Abstract Artificial intelligence-based software as a medical device (AI-SaMD) is increasingly used for screening, diagnosis, triage, risk stratification, treatment support, and monitoring. Its regulatory challenge lies not only in algorithmic complexity or sof…
  crossref Yukun Dong, Ping Jiang, Xiao-Hua Zhou 2026-07-30T07:57:42Z 置信度 0.70
• Knowledge, Attitudes and Perspectives of Anesthesiologists on Artificial Intelligence
  Objectives: The use of AI in medicine is increasing every passing day. However, there is still debate in the literatureamong specialists about several aspects of artificial intelligence (AI). The objective of this study was to evaluate andanalyze knowledge, at…
  crossref Ali Muhittin Tasdogan 2020-01-23T07:19:20Z 置信度 0.70
• Diagnostic Segmentation Based on Kidney Medical Image
  Lesion segmentation of medical images is an important component of smart medicine. The development of deep learning technology is followed by rapid advancement in lesion segmentation technology of medical images. Though the present segmentation technology can …
  crossref Shixuemei, Mideth Abisado 2023-06-06T15:22:39Z 置信度 0.70
• Ethical and Regulatory Considerations
  crossref Euclid Seeram, Vijay Kanade 2024-08-14T10:02:01Z 置信度 0.70
• Better Medical Efficiency by Means of Hospital Bed Management Optimization—A Comparison of Artificial Intelligence Techniques
  crossref Afonso Lobo, Agostinho Barbosa, Tiago Guimarães, João Lopes 等 2023-12-14T16:03:27Z 置信度 0.70
• Artificial Intelligence in Medical Radiology: Clinical Applications, Challenges, and Future Directions
  Artificial Intelligence (AI) has emerged as a transformative force in modern radiology, significantly improving diagnostic accuracy, workflow efficiency, and clinical decision-making. With the rapid expansion of medical imaging data, traditional radiological p…
  crossref Naylah Arif, Decampos Olabissi Sergio, Mohd. Arfat 2026-06-08T11:24:44Z 置信度 0.70
• Conclusions and future directions: Challenges, opportunities, and ethical considerations in artificial intelligence-driven medical research
  crossref Olfa Boubaker 2026-05-01T08:49:13Z 置信度 0.70
• When the white coat meets the code: medical professionals’ negotiating with artificial intelligence, trust and boundary work
  As AI is deployed in healthcare contexts, medical professionals undergo technology-driven challenges, such as maintaining control over the diagnostic process and renegotiating their tasks and areas of expertise. In this article, we explore the social and profe…
  crossref Laura Sartori, Marianna Musmeci, Sara Cannizzaro, Chiara Binelli 2026-04-22T08:27:23Z 置信度 0.70
• The ethics of using artificial intelligence in writing medical research papers
  The rapid integration of large language models into medical publishing offers considerable potential for improving drafting efficiency but simultaneously raises substantial concerns regarding research integrity, accountability, and the reliability of the scien…
  crossref Shinae Yu, Hyunyong Hwang 2025-12-31T04:23:42Z 置信度 0.70
• Artificial intelligence-facilitated evidence-based medicine research and practice: A position statement
  The world healthcare system has deeply adopted evidence-based medicine (EBM) for clinical practice and policy making by systematically integrating all available knowledge, including research studies and adjusting their biases. The approaches for EBM have been …
  crossref 2026-01-29T10:00:27Z 置信度 0.70
• Needs Assessment for Inclusion of Artificial Intelligence in Undergraduate Medical Curriculum
  Background: Artificial Intelligence (AI) is transforming industries globally, with healthcare being no exception. The present study was carried out with the objective of need assessment of AI in an undergraduate curriculum. The present study assessed the key a…
  crossref Ashwini K. Shetty, Pradeep TS 2025-05-14T04:42:27Z 置信度 0.70
• Rethinking assessment in response to generative artificial intelligence
  By considering the significant implications of generative AI for assessment, the authors suggest reclaiming oral assessment, when there is value in assessing unassisted understanding, and embracing AI for assisted assessment.
  crossref Jacob Pearce, Neville Chiavaroli 2023-04-12T06:04:31Z 置信度 0.70
• Intelligence news letter
  crossref Laurence Leff 2003-03-25T14:45:39Z 置信度 0.70
• The prediction of hydrocephalus in colloid cysts by using artificial intelligence
  Objective: We aim to train neural networks to predict hydrocephaly in patients with colloid cyst based on T2 weighted MRI radiomics. Methods: This study included 40 cases with a colloid cyst, the mean age was 54.08±16.57 years, and 25 (62.5%) were women. Two o…
  crossref Basak Atalay, Mahmut Bilal Dogan, Mehmet Bilgin Eser 2023-11-03T09:06:08Z 置信度 0.70
• A Model to Introduce Medical Students to the Use of Artificial Intelligence and Genomics for Precision Medicine
  ABSTRACT Objective Despite the significant medical impact of artificial intelligence (AI) in healthcare, emergence of AI-related topics in medical curricula has been slow. The authors sought to introduce pre-clinical students to the importance of AI methodolog…
  crossref Philip O. Alderson, Maureen J. Donlin, Lynda A. Morrison 2021-05-17T19:25:18Z 置信度 0.70
• Artificial Intelligence Based Chatbots as Professional Medical Consultants in Oral Surgery: Are they reliable? Comparative Study (Preprint)
  BACKGROUND With advances in artificial intelligence (AI) technologies, AI-based chatbots have become promising tools for generating medical information. Given their widespread use and easy accessibility, it is important to comprehensively evaluate the quality,…
  crossref Alanur Çiftçi Şişman, Ahmet Hüseyin Acar 2024-03-15T19:06:34Z 置信度 0.70
• Medical imaging and artificial intelligence in radiotherapy of malignant tumors
  The fusion of artificial intelligence with medical imaging is undoubtedly a progressive innovative process in the modern development of domestic healthcare, which allows for unprecedented accuracy and efficiency in the diagnosis and planning of special treatme…
  crossref G. A. Panshin, N. V. Nudnov 2025-02-28T10:02:01Z 置信度 0.70
• Applications and Challenges of Implementing Artificial Intelligence in Medical Education: Integrative Review
  Background Since the advent of artificial intelligence (AI) in 1955, the applications of AI have increased over the years within a rapidly changing digital landscape where public expectations are on the rise, fed by social media, industry leaders, and medical …
  crossref Kai Siang Chan, Nabil Zary 2019-04-16T21:04:16Z 置信度 0.70
• Editorial Board
  crossref 2003-03-14T13:02:52Z 置信度 0.70
• Forthcoming Papers
  crossref 2004-12-15T01:47:57Z 置信度 0.70
• Forthcoming Papers
  crossref 2002-10-10T21:56:50Z 置信度 0.70
• Books received
  crossref 2003-03-14T13:02:52Z 置信度 0.70
• Artificial Intelligence and Music: The Right to an Artificial Intelligence-Generated Music
  The rapid increase in the use of Artificial Intelligence (AI) tools by creators has exposed significant gaps in existing copyright frameworks across multiple jurisdictions. This article examines the ownership of AI-generated music under the laws of the United …
  crossref Miebaka Jenewari 2026-07-29T13:44:45Z 置信度 0.70
• Cognitive Priority over Ethical Priority in Artificial Intelligence: The Primordial Philosophical Analysis in Artificial Intelligence
  The general idea that we have of artificial intelligence (AI) consists of the belief that machines will be able to develop conscious thoughts such as those possessed by human beings, and, as computing advances, such thinking will also advance until intelligenc…
  crossref Zapata Flórez A 2024-01-26T08:25:31Z 置信度 0.70
• Methoden der Artificial Intelligence
  Worin unterscheiden sich Methoden der Artificial Intelligence von den, in der Informatik üblichen Methoden?
  crossref Werner Horn 2014-01-22T05:39:31Z 置信度 0.70
• Book review
  crossref R.G. Goebel 2009-11-18T13:53:14Z 置信度 0.70
• Introduction to Artificial Intelligence
  Every beginner in any subject needs a good foundation, which will help the student to understand the subject. This good foundation will be provided in a thorough and detailed definition of the subject and a detailed description of the fundamental models on whi…
  crossref 2021-07-13T11:36:53Z 置信度 0.70
• Forthcoming Papers
  crossref 2005-04-08T11:44:36Z 置信度 0.70
• Forthcoming papers
  crossref 2003-03-14T13:02:52Z 置信度 0.70
• Awards: IJCAI-85
  crossref 2003-03-14T13:02:52Z 置信度 0.70
• Introduction to Tribology and Artificial Intelligence
  crossref Jashanpreet Singh 2026-06-22T15:08:57Z 置信度 0.70
• APPLICATIONS OF ARTIFICIAL INTELLIGENCE
  crossref 2018-12-27T15:27:22Z 置信度 0.70
• What do we become? Artificial intelligence and academic identity
  I hope that, when Masters argued that artificial intelligence (AI) should take over the burdensome work of writing academic papers [1], he was seeking to be provocative rather than advancing an arg...
  crossref Rachel H. Ellaway 2025-07-22T10:29:12Z 置信度 0.70
• THE UTILISATION OF ARTIFICIAL INTELLIGENCE IN MEDICAL DIAGNOSTICS
  There is a big paradigm shift which is brought by the introduction of artificial intelligence (AI) in medical diagnostics. This chapter focuses on machine learning, deep learning, and natural language processing and it explores applications in radiology, histo…
  crossref Dr. Kinnor Das 2024-06-17T02:53:51Z 置信度 0.70
• Artificial Intelligence in Radiology: The Computer’s Helping Hand Needs Guidance
  crossref Evis Sala, Stephan Ursprung 2020-11-11T14:55:50Z 置信度 0.70
• Applications of artificial intelligence and generative artificial intelligence in digital healthcare ecosystem
  crossref Rajashri Roy Choudhury, Piyal Roy 2025-10-25T07:52:18Z 置信度 0.70
• Artificial Intelligence for Information Retrieval
  This article describes the most prominent approaches to apply artificial intelligence technologies to information retrieval (IR). Information retrieval is a key technology for knowledge management. It deals with the search for information and the representatio…
  crossref Thomas Mandl 2011-05-24T12:08:04Z 置信度 0.70
• Academic Integrity and Artificial Intelligence
  crossref Ceceilia Parnther 2024-01-24T10:44:20Z 置信度 0.70
• Forthcoming papers
  crossref 2003-09-16T17:11:43Z 置信度 0.70
• REGULATION OF ARTIFICIAL INTELLIGENCE
  crossref 2018-12-27T15:27:22Z 置信度 0.70
• 1987 Linguistic institute
  crossref 2005-12-10T06:22:44Z 置信度 0.70
• Note from the editors
  crossref 2003-03-14T13:02:52Z 置信度 0.70
• Minh Khoe Tue Y Smart Healthcare System
  Minh Khoe Tue Y Smart Healthcare System v1.1.2 Release on Oct. 26, 2025. Author: Du Yu (杜宇; @duyu09, qluduyu09@163.com) Repository: https://github.com/duyu09/MKTY-System LLM weights for non-Chinese developers: https://huggingface.co/Duyu/MKTY-3B-Chat LLM weigh…
  datacite Du, Yu 2025 置信度 0.66
• TCMNSCLC: A Real-world Dataset for Chinese Medicine Reasoning on Non-small-cell Lung Cancer
  TCM4NSCLC is a real-world dataset developed for traditional Chinese medicine (TCM) reasoning in non-small-cell lung cancer (NSCLC). The dataset consists of structured clinical cases curated from real-world medical records and annotated by experienced TCM exper…
  datacite Zhang, Xinxin, Zhang, Chuchu 2026 置信度 0.66 Traditional Chinese MedicineNSCLCChinese medicine reasoningmedical datasetlarge language models
• TCMNSCLC: A Real-world Dataset for Chinese Medicine Reasoning on Non-small-cell Lung Cancer
  TCM4NSCLC is a real-world dataset developed for traditional Chinese medicine (TCM) reasoning in non-small-cell lung cancer (NSCLC). The dataset consists of structured clinical cases curated from real-world medical records and annotated by experienced TCM exper…
  datacite Zhang, Xinxin, Zhang, Chuchu 2026 置信度 0.66 Traditional Chinese MedicineNSCLCChinese medicine reasoningmedical datasetlarge language models
• Recoverability-Constrained Execution and Interlock Architecture: Universal Admissibility and Boundary-Constrained Execution System Under Irreversibility Conditions
  This publication publicly discloses a universal execution architecture in which continuation, actuation, transition, and operational execution are conditioned upon recoverability verification prior to irreversible transition. The architecture establishes a rec…
  datacite Interval Studio, United Kingdom 2026 置信度 0.66 Recoverability-Constrained Systems Recoverability Science Admissibility Execution Architecture Interlock Systems Runtime Gating Fail-Silent Systems Propagation Control Irreversibility Autonomous Systems AI Safety Execution Governance Boundary Systems Dependency Preservation Operational Safety Continuity Systems Control Architecture System Safety Infrastructure Safety Execution Boundaries
• Recoverability-Constrained Execution and Interlock Architecture: Universal Admissibility and Boundary-Constrained Execution System Under Irreversibility Conditions
  This publication publicly discloses a universal execution architecture in which continuation, actuation, transition, and operational execution are conditioned upon recoverability verification prior to irreversible transition. The architecture establishes a rec…
  datacite Interval Studio, United Kingdom 2026 置信度 0.66 Recoverability-Constrained Systems Recoverability Science Admissibility Execution Architecture Interlock Systems Runtime Gating Fail-Silent Systems Propagation Control Irreversibility Autonomous Systems AI Safety Execution Governance Boundary Systems Dependency Preservation Operational Safety Continuity Systems Control Architecture System Safety Infrastructure Safety Execution Boundaries
• A Lacuna Regulatória entre o AI Act e o RGPD: Heteronomia Decisória Invisível em Contexto Jurisdicional e Clínico
  A crescente integração de sistemas de Inteligência Artificial em contextos decisórios críticos tem vindo a ser acompanhada por um esforço regulatório relevante, designadamente através do Regulamento (UE) 2024/1689 (AI Act) e do Regulamento (UE) 2016/679 (RGPD)…
  datacite Marques, Nelson 2026 置信度 0.66 inteligência artificialheteronomia decisória invisívellacuna regulatóriaAI ActRGPD
• A Lacuna Regulatória entre o AI Act e o RGPD: Heteronomia Decisória Invisível em Contexto Jurisdicional e Clínico
  A crescente integração de sistemas de Inteligência Artificial em contextos decisórios críticos tem vindo a ser acompanhada por um esforço regulatório relevante, designadamente através do Regulamento (UE) 2024/1689 (AI Act) e do Regulamento (UE) 2016/679 (RGPD)…
  datacite Marques, Nelson 2026 置信度 0.66 inteligência artificialheteronomia decisória invisívellacuna regulatóriaAI ActRGPD
• Automated Brain Tumor Detection and Classification System
  The accurate rapid and non-invasive detection of central nervous system malignancies remains one of the most critical challenges in contemporary neurology. Magnetic Resonance Imaging serves as the undisputed gold standard for visualizing these complex patholog…
  datacite Uma N, ArunPrakash S, Aswinkumar K, Infant Rohith A 2026 置信度 0.66 Brain Tumor Classification, Medical Image Processing, Longitudinal Growth Tracking, Edge Computing Deployment, Healthcare Artificial Intelligence.
• Automated Brain Tumor Detection and Classification System
  The accurate rapid and non-invasive detection of central nervous system malignancies remains one of the most critical challenges in contemporary neurology. Magnetic Resonance Imaging serves as the undisputed gold standard for visualizing these complex patholog…
  datacite Uma N, ArunPrakash S, Aswinkumar K, Infant Rohith A 2026 置信度 0.66 Brain Tumor Classification, Medical Image Processing, Longitudinal Growth Tracking, Edge Computing Deployment, Healthcare Artificial Intelligence.
• Generative Artificial Intelligence in Medical and Veterinary Education: A Scoping Review
  This scoping review maps the extent and nature of the literature regarding the implementation, design, and evaluation of generative artificial intelligence across all phases of veterinary and human medical education. Specifically, it examines how tools like la…
  datacite Divya Darshni Suresh 2026 置信度 0.66 Teacher Education and Professional DevelopmentVeterinary MedicineMedicine and Health SciencesCurriculum and InstructionEducation
• N-K SRI AI — GLOBAL SUBSCRIPTION OFFER: Instant Solutions for All Fields of Science — Physics, Chemistry, Biology, Medicine, Engineering, Materials, Climate, Computer Science, Energy, Mathematics, and ALL Sciences — 10³⁷⁸ ops/sec, 0% Error, 100% Accuracy, 1-Example Learning
  N-K SRI AI — GLOBAL SUBSCRIPTION OFFER — ZENODO DESCRIPTION --- DOI: 10.5281/zenodo.21516781 Title: N-K SRI AI — GLOBAL SUBSCRIPTION OFFER: Instant Solutions for All Fields of Science — Physics, Chemistry, Biology, Medicine, Engineering, Materials, Climate, Co…
  datacite Usman Malik, Muhammad 2026 置信度 0.66
• N-K SRI AI — GLOBAL SUBSCRIPTION OFFER: Instant Solutions for All Fields of Science — Physics, Chemistry, Biology, Medicine, Engineering, Materials, Climate, Computer Science, Energy, Mathematics, and ALL Sciences — 10³⁷⁸ ops/sec, 0% Error, 100% Accuracy, 1-Example Learning
  N-K SRI AI — GLOBAL SUBSCRIPTION OFFER — ZENODO DESCRIPTION --- DOI: 10.5281/zenodo.21516781 Title: N-K SRI AI — GLOBAL SUBSCRIPTION OFFER: Instant Solutions for All Fields of Science — Physics, Chemistry, Biology, Medicine, Engineering, Materials, Climate, Co…
  datacite Usman Malik, Muhammad 2026 置信度 0.66
• CODE, TRUST AND FUTURE: THE ENGINEERING DIMENSIONS OF AI
  This volume explores how artificial intelligence is transforming healthcare, transportation, and cybersecurity. Each chapter offers a focused study on AI's practical applications, challenges, and future potential across different global contexts. The first cha…
  datacite GUBALOVA, Jolana, RIPON, Shamim, RAHMAN, Rubaiya, PIASH, Moshiur Mahamud 等 2025 置信度 0.66 artificial intelligencedigital pathologybreast cancer classificationCNNtrustworthy AI
• CODE, TRUST AND FUTURE: THE ENGINEERING DIMENSIONS OF AI
  This volume explores how artificial intelligence is transforming healthcare, transportation, and cybersecurity. Each chapter offers a focused study on AI's practical applications, challenges, and future potential across different global contexts. The first cha…
  datacite GUBALOVA, Jolana, RIPON, Shamim, RAHMAN, Rubaiya, PIASH, Moshiur Mahamud 等 2025 置信度 0.66 artificial intelligencedigital pathologybreast cancer classificationCNNtrustworthy AI
• Strategic Frameworks for Global Energy Transitions: An Integrated Analysis of Climate Informatics, Post-Classical Compute Infrastructures, and Biomimetic Policy Pathways
  Strategic Frameworks for Global Energy Transitions: An Integrated Analysis of Climate Informatics, Post-Classical Compute Infrastructures, and Biomimetic Policy Pathways The global energy architecture is currently undergoing a structural phase transition of un…
  datacite Brewer, Mark Anthony 2026 置信度 0.66
• Strategic Frameworks for Global Energy Transitions: An Integrated Analysis of Climate Informatics, Post-Classical Compute Infrastructures, and Biomimetic Policy Pathways
  Strategic Frameworks for Global Energy Transitions: An Integrated Analysis of Climate Informatics, Post-Classical Compute Infrastructures, and Biomimetic Policy Pathways The global energy architecture is currently undergoing a structural phase transition of un…
  datacite Brewer, Mark Anthony 2026 置信度 0.66
• Ethical Approaches to Informed Consent for Autonomous Robotic-Assisted Surgery
  <h3>Project Overview</h3> <p>Robot-assisted surgery has seen growth in recent years, and with the emergence of artificial intelligence, it is anticipated that some procedures will soon be performed by partially autonomous robotic systems unde…
  datacite Wu, Jie Ying, Gordon, Elisa 2026 置信度 0.66 EngineeringMedicine, Health and Life Sciencesautonomyartificial intelligencedecision-making
• Comprehensive Overview of Artificial Intelligence Applications in Biomedical Research and Precision Medicine (2024–2026)
  The period from 2024 to early 2026 represents a critical inflection point in biomedical research and precision medicine, driven by the deep integration of large-scale biological data with advanced artificial intelligence (AI) architectures. This era marks a tr…
  datacite Fahim Halim Khan 2026 置信度 0.66
• Comprehensive Overview of Artificial Intelligence Applications in Biomedical Research and Precision Medicine (2024–2026)
  The period from 2024 to early 2026 represents a critical inflection point in biomedical research and precision medicine, driven by the deep integration of large-scale biological data with advanced artificial intelligence (AI) architectures. This era marks a tr…
  datacite Fahim Halim Khan 2026 置信度 0.66
• Governação do Ato Médico Assistido por Inteligência Artificial: A Lacuna Operacional e o Risco de Heteronomia Decisória Invisível
  O presente documento analisa a crescente integração de sistemas de inteligência artificial no ato médico em Portugal, evidenciando a ausência de enquadramento operacional estruturado para o cumprimento das exigências legais e deontológicas. Introduz-se e aprof…
  datacite Marques, Nelson 2026 置信度 0.66 • heteronomia decisória• inteligência artificial• ato médico• AI Act• consentimento informado
• Governação do Ato Médico Assistido por Inteligência Artificial: A Lacuna Operacional e o Risco de Heteronomia Decisória Invisível
  O presente documento analisa a crescente integração de sistemas de inteligência artificial no ato médico em Portugal, evidenciando a ausência de enquadramento operacional estruturado para o cumprimento das exigências legais e deontológicas. Introduz-se e aprof…
  datacite Marques, Nelson 2026 置信度 0.66 • heteronomia decisória• inteligência artificial• ato médico• AI Act• consentimento informado
• Dataset: Identify specific patterns of TDP-43 proteinopathy induced cryptic mis-splicing of STMN2 and other "cryptic mis-splicing" patterns found within PubMed Literature, 2026. - PathMap Experiment #000111
  Interactive Data Viewer: Read, View, and Print from Day 1 Use our fully interactive viewer to view, read, and print this research data right from Day 1: https://pathmap.org/viewer.php?id=111 Artificial General Intelligence LLC Claim Evaluated: Identify specifi…
  datacite Dungan, Joshua 2026 置信度 0.66 DNA-Binding Protein 43_gates_from_dna-binding_protein_43Exons_gates_to_exons_gates_from_exons
• Dataset: Identify specific patterns of TDP-43 proteinopathy induced cryptic mis-splicing of STMN2 and other "cryptic mis-splicing" patterns found within PubMed Literature, 2026. - PathMap Experiment #000111
  Interactive Data Viewer: Read, View, and Print from Day 1 Use our fully interactive viewer to view, read, and print this research data right from Day 1: https://pathmap.org/viewer.php?id=111 Artificial General Intelligence LLC Claim Evaluated: Identify specifi…
  datacite Dungan, Joshua 2026 置信度 0.66 DNA-Binding Protein 43_gates_from_dna-binding_protein_43Exons_gates_to_exons_gates_from_exons
• Predictive Forecasting of Care Load and Placement Demand
  Predictive Forecasting of Care Load and Placement Demand is a data-driven strategy used primarily in healthcare, social care, and senior care sectors. It leverages historical data, statistical algorithms, and machine learning techniques to anticipate future pa…
  datacite Tulasi, G 2026 置信度 0.66
• Predictive Forecasting of Care Load and Placement Demand
  Predictive Forecasting of Care Load and Placement Demand is a data-driven strategy used primarily in healthcare, social care, and senior care sectors. It leverages historical data, statistical algorithms, and machine learning techniques to anticipate future pa…
  datacite Tulasi, G 2026 置信度 0.66
• Digital Education and Skill Development for Inclusive Rural Growth
  Abstract The digital divide in rural India remains a profound structural barrier to equitable economic participation. As the nation pivots toward a knowledge-based $5 trillion economy, the integration of digital education and targeted skill development has bec…
  datacite Dr.Srinivasa.T 2026 置信度 0.66 Digital Education, Skill Development, Inclusive Growth, Rural India, Digital Literacy, Vocational Training, ICT4D, Sustainable Development, Digital Divide, Human Capital, AI in Agriculture, Phygital Model.
• Digital Education and Skill Development for Inclusive Rural Growth
  Abstract The digital divide in rural India remains a profound structural barrier to equitable economic participation. As the nation pivots toward a knowledge-based $5 trillion economy, the integration of digital education and targeted skill development has bec…
  datacite Dr.Srinivasa.T 2026 置信度 0.66 Digital Education, Skill Development, Inclusive Growth, Rural India, Digital Literacy, Vocational Training, ICT4D, Sustainable Development, Digital Divide, Human Capital, AI in Agriculture, Phygital Model.
• Dataset: mRNA Influenza Vaccination Information. August, 2026 PathMap - PathMap Experiment #000106
  Interactive Data Viewer: Read, View, and Print from Day 1 Use our fully interactive viewer to view, read, and print this research data right from Day 1: https://pathmap.org/viewer.php?id=106 Artificial General Intelligence LLC Claim Evaluated: mRNA Influenza V…
  datacite Dungan, Joshua 2026 置信度 0.66 RNA Vaccines_gates_from_rna_vaccinesAntigenic Variation_gates_to_antigenic_variation_gates_from_antigenic_variation
• Dataset: mRNA Influenza Vaccination Information. August, 2026 PathMap - PathMap Experiment #000106
  Interactive Data Viewer: Read, View, and Print from Day 1 Use our fully interactive viewer to view, read, and print this research data right from Day 1: https://pathmap.org/viewer.php?id=106 Artificial General Intelligence LLC Claim Evaluated: mRNA Influenza V…
  datacite Dungan, Joshua 2026 置信度 0.66 RNA Vaccines_gates_from_rna_vaccinesAntigenic Variation_gates_to_antigenic_variation_gates_from_antigenic_variation
• AI for healthcare: Prediction disease diagnosis using multimodal data
  Abstract: Artificial intelligence boxes (AI) have advanced the system to move up the likelihood from the conventional system of disease diagnosis to early, precise analysis and personal prediction. However, certain complex diseases need to be analyses through …
  datacite Dr. Archana Bendale, Trupti Khairnar, Gayatri Patil, Asst. Prof. Pawan Malani 等 2026 置信度 0.66
• AI for healthcare: Prediction disease diagnosis using multimodal data
  Abstract: Artificial intelligence boxes (AI) have advanced the system to move up the likelihood from the conventional system of disease diagnosis to early, precise analysis and personal prediction. However, certain complex diseases need to be analyses through …
  datacite Dr. Archana Bendale, Trupti Khairnar, Gayatri Patil, Asst. Prof. Pawan Malani 等 2026 置信度 0.66
• Exploring and Designing AI-Based Technologies for Mental Health
  Over the past decade, Human–Computer Interaction (HCI) research has seen a growing interest in mental health technologies. At the same time, advances in Artificial Intelligence (AI) have introduced new opportunities and challenges for the design of ethical, tr…
  datacite Alotaibi, Abeer 2026 置信度 0.66
• What changes in a person's voice occur prior to Amyotrophic Lateral Sclerosis onset that may be useful as a non-clinical (or clinical if possible) early detection of the disease? - PathMap Experiment #000035
  Interactive Data Viewer: Read, View, and Print from Day 1 Use our fully interactive viewer to view, read, and print this research data right from Day 1: https://pathmap.org/viewer.php?id=35 Artificial General Intelligence LLC Claim Evaluated: What changes in a…
  datacite Dungan, Joshua 2026 置信度 0.66 Motor Neuron Disease_gates_from_motor_neuron_diseaseMuscle Weakness_gates_to_muscle_weakness_gates_from_muscle_weakness
• What changes in a person's voice occur prior to Amyotrophic Lateral Sclerosis onset that may be useful as a non-clinical (or clinical if possible) early detection of the disease? - PathMap Experiment #000035
  Interactive Data Viewer: Read, View, and Print from Day 1 Use our fully interactive viewer to view, read, and print this research data right from Day 1: https://pathmap.org/viewer.php?id=35 Artificial General Intelligence LLC Claim Evaluated: What changes in a…
  datacite Dungan, Joshua 2026 置信度 0.66 Motor Neuron Disease_gates_from_motor_neuron_diseaseMuscle Weakness_gates_to_muscle_weakness_gates_from_muscle_weakness
• Advancing Health Insurance Claims Automation with Optical Character Recognition
  Since the rise of digital tools and artificial intelligence in healthcare, the automation of insurance claims processing is an absolute necessity. Today, claims processing consists of the tedious and expensive process of a person reading through hospital bills…
  datacite Sandeep Santha Kumar, Neeraj R G, M Aravind, A Umamageswari 2026 置信度 0.66
• Advancing Health Insurance Claims Automation with Optical Character Recognition
  Since the rise of digital tools and artificial intelligence in healthcare, the automation of insurance claims processing is an absolute necessity. Today, claims processing consists of the tedious and expensive process of a person reading through hospital bills…
  datacite Sandeep Santha Kumar, Neeraj R G, M Aravind, A Umamageswari 2026 置信度 0.66
• RAQAMLI TIBBIY MUHIT VA ELEKTRON POLIKLINIKA SHAROITIDA BO'LAJAK OILAVIY SHIFOKORLARNING KASBIY MOTIVATSIYASINI RIVOJLANTIRISH
  Mazkur maqolada raqamli tibbiy muhit va elektron poliklinika tizimlari asosida bo‘lajak oilaviy shifokorlarning kasbiy motivatsiyasini rivojlantirish masalalari tahlil qilingan. Zamonaviy tibbiy ta’limda raqamli texnologiyalar, interaktiv o‘qitish usullari va …
  datacite Xalmuxamedov, Bobir Taxirovich 2026 置信度 0.66 raqamli tibbiy muhit, elektron poliklinika, oilaviy tibbiyot, kasbiy motivatsiya, sun'iy intellekt, interaktiv ta'lim, klinik fikrlash, raqamli kompetensiyaцифровая медицинская среда, электронная поликлиника, семейная медицина, профессиональная мотивация, искусственный интеллект, интерактивное обучениеdigital medical environment, electronic polyclinic, family medicine, professional motivation, artificial intelligence, interactive learning
• RAQAMLI TIBBIY MUHIT VA ELEKTRON POLIKLINIKA SHAROITIDA BO'LAJAK OILAVIY SHIFOKORLARNING KASBIY MOTIVATSIYASINI RIVOJLANTIRISH
  Mazkur maqolada raqamli tibbiy muhit va elektron poliklinika tizimlari asosida bo‘lajak oilaviy shifokorlarning kasbiy motivatsiyasini rivojlantirish masalalari tahlil qilingan. Zamonaviy tibbiy ta’limda raqamli texnologiyalar, interaktiv o‘qitish usullari va …
  datacite Xalmuxamedov, Bobir Taxirovich 2026 置信度 0.66 raqamli tibbiy muhit, elektron poliklinika, oilaviy tibbiyot, kasbiy motivatsiya, sun'iy intellekt, interaktiv ta'lim, klinik fikrlash, raqamli kompetensiyaцифровая медицинская среда, электронная поликлиника, семейная медицина, профессиональная мотивация, искусственный интеллект, интерактивное обучениеdigital medical environment, electronic polyclinic, family medicine, professional motivation, artificial intelligence, interactive learning
• VITAL-AI: Advanced Digital Skills for Human-in-the-Loop AI Governance and Doctor-Led Control in Healthcare
  Strategic Context: European healthcare stands at a critical geopolitical and technological crossroads. The rapid integration of Artificial Intelligence (AI) in clinical workflows introduces severe vulnerabilities regarding data capital flight and dependency on…
  datacite abouelfida, abdelhadi 2026 置信度 0.66 Human-in-the-Loop (HITL)AI Clinical GovernanceEU AI Act ComplianceHealthcare Data SovereigntyDigital Health SandboxesDual-Engine Data Architecture (DEDA)Emergency Override ProtocolAdvanced Digital Skills for Health
• VITAL-AI: Advanced Digital Skills for Human-in-the-Loop AI Governance and Doctor-Led Control in Healthcare
  Strategic Context: European healthcare stands at a critical geopolitical and technological crossroads. The rapid integration of Artificial Intelligence (AI) in clinical workflows introduces severe vulnerabilities regarding data capital flight and dependency on…
  datacite abouelfida, abdelhadi 2026 置信度 0.66 Human-in-the-Loop (HITL)AI Clinical GovernanceEU AI Act ComplianceHealthcare Data SovereigntyDigital Health SandboxesDual-Engine Data Architecture (DEDA)Emergency Override ProtocolAdvanced Digital Skills for Health
• Artificial Intelligence in Medical Student Assessment: A Systematic Review
  Artificial intelligence (AI) is increasingly being integrated into medical education and has the potential to transform how medical students are assessed. AI-based approaches can support or automate activities traditionally performed by human assessors, includ…
  datacite carina cunha, Olga Cunha 2026 置信度 0.66 Education
• A Deep Learning–Based Multi-Layer Recursive Neural Network Framework For Intelligent Thyroid Disease Detection And Recognition
  Thyroid disease is one of the most common endocrine disorders affecting millions of people worldwide. The thyroid gland plays a crucial role in regulating metabolism, growth, and overall body functions. Any imbalance in thyroid hormone production can lead to c…
  datacite Dr. A.Avinash, Kanchi Dhanusha, Saladi Rudra Naga Prasanna Lakshmi, Thiguti Sri Ajitesh 等 2026 置信度 0.66
• A Deep Learning–Based Multi-Layer Recursive Neural Network Framework For Intelligent Thyroid Disease Detection And Recognition
  Thyroid disease is one of the most common endocrine disorders affecting millions of people worldwide. The thyroid gland plays a crucial role in regulating metabolism, growth, and overall body functions. Any imbalance in thyroid hormone production can lead to c…
  datacite Dr. A.Avinash, Kanchi Dhanusha, Saladi Rudra Naga Prasanna Lakshmi, Thiguti Sri Ajitesh 等 2026 置信度 0.66
• Current Status of Generative Artificial Intelligence Applications in Health Management for Older Adults: A Scoping Review
  As generative artificial intelligence (GAI) and large language models (LLMs) rapidly evolve, their potential in supporting patient-centered health management has gained significant attention. However, empirical evidence regarding how older adults—a population …
  datacite Jindi Wang 2026 置信度 0.66 Medicine and Health SciencesGeriatric NursingNursingGAIhealth management
• Insights and Inputs: Analyzing ChatGPT Prompt Design by Future Physician
  As artificial intelligence (AI) becomes increasingly integrated into healthcare, effective prompting has emerged as a key factor in optimizing large language model (LLM) performance. While strategies such as chain-of-thought prompting can enhance reasoning, li…
  datacite Tiffani Szeto, Hamza Ahmad, Zaakir Hamzavi, Hannah Walters 等 2025 置信度 0.66 FOS: Clinical medicineGenerative Artificial IntelligenceArtificial IntelligenceLarge Language ModelsClinical Reasoning
• Dataset: SOD1 Research July 2026 - PathMap Experiment #000084
  Interactive Data Viewer: Read, View, and Print from Day 1 Use our fully interactive viewer to view, read, and print this research data right from Day 1: https://pathmap.org/viewer.php?id=84 Artificial General Intelligence LLC Claim Evaluated: SOD1 Research Jul…
  datacite Dungan, Joshua 2026 置信度 0.66 Genetic Testing_gates_from_genetic_testingDrug Delivery Systems_gates_to_drug_delivery_systems_gates_from_drug_delivery_systems
• Dataset: SOD1 Research July 2026 - PathMap Experiment #000084
  Interactive Data Viewer: Read, View, and Print from Day 1 Use our fully interactive viewer to view, read, and print this research data right from Day 1: https://pathmap.org/viewer.php?id=84 Artificial General Intelligence LLC Claim Evaluated: SOD1 Research Jul…
  datacite Dungan, Joshua 2026 置信度 0.66 Genetic Testing_gates_from_genetic_testingDrug Delivery Systems_gates_to_drug_delivery_systems_gates_from_drug_delivery_systems
• The Metabolic Age Institutional Playbook
  The Metabolic Age Institutional Playbook I. Purpose of the Playbook The global transition from industrial computation to sovereign, metabolic infrastructure represents a fundamental paradigm shift in the governance of intelligence, resources, and institutional…
  datacite Brewer, Mark Anthony 2026 置信度 0.66
• The Metabolic Age Institutional Playbook
  The Metabolic Age Institutional Playbook I. Purpose of the Playbook The global transition from industrial computation to sovereign, metabolic infrastructure represents a fundamental paradigm shift in the governance of intelligence, resources, and institutional…
  datacite Brewer, Mark Anthony 2026 置信度 0.66
• Dataset: Lon Protease, Alternaria; IL-33; TSLP; alarmins; asthma; chronic rhinosinusitis; fungal allergen; innate lymphoid cells - PathMap Experiment #000064
  Interactive Data Viewer: Read, View, and Print from Day 1 Use our fully interactive viewer to view, read, and print this research data right from Day 1: https://pathmap.org/viewer.php?id=64 Artificial General Intelligence LLC Claim Evaluated: Lon Protease, Alt…
  datacite Dungan, Joshua 2026 置信度 0.66 Alternaria_gates_from_alternariaAlarmins_gates_to_alarmins_gates_from_alarmins
• Dataset: Lon Protease, Alternaria; IL-33; TSLP; alarmins; asthma; chronic rhinosinusitis; fungal allergen; innate lymphoid cells - PathMap Experiment #000064
  Interactive Data Viewer: Read, View, and Print from Day 1 Use our fully interactive viewer to view, read, and print this research data right from Day 1: https://pathmap.org/viewer.php?id=64 Artificial General Intelligence LLC Claim Evaluated: Lon Protease, Alt…
  datacite Dungan, Joshua 2026 置信度 0.66 Alternaria_gates_from_alternariaAlarmins_gates_to_alarmins_gates_from_alarmins