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• Artificial Intelligence (AI) in academic research. A multi-group analysis of students’ awareness and perceptions using gender and programme type
  The era of AI has brought tremendous impact in academic research, and this has provided the impetus for students to leverage on novel tools in carrying out a lot of quality research works. Previous studies have relied so much on AI for instruction, classroom m…
  openalex Usani Ofem Joseph, Iyam Mary Arikpo, Ovat Sylvia Victor, Nwogwugwu Chidirim 等 2024-01-21 置信度 0.72 PerceptionPsychologyExploratory factor analysisPopulationCurriculum
• THE role of Artificial Intelligence in industry 5.0: Enhancing human-machine collaboration
  The emergence of Industry 5.0 marks a transformative shift in the manufacturing landscape, emphasizing a synergistic relationship between humans and machines. This paper explores the pivotal role of Artificial Intelligence (AI) in enhancing human-machine colla…
  openalex Andrew Nii Anang, Peter Ofuje Obidi, Adeleye Oriola Mesogboriwon, James Opani Obidi 等 2024-11-07 置信度 0.72 Artificial intelligenceComputer scienceKnowledge managementBusinessEngineering
• Validation of a novel, low-fidelity virtual reality simulator and an artificial intelligence assessment approach for peg transfer laparoscopic training
  Simulators are widely used in medical education, but objective and automatic assessment is not feasible with low-fidelity simulators, which can be solved with artificial intelligence (AI) and virtual reality (VR) solutions. The effectiveness of a custom-made V…
  openalex Peter Bogar, Mark Virag, Mátyás Bene, Péter Hardi 等 2024-07-19 置信度 0.72 Virtual realityComputer scienceTrainerSimulationFidelity
• Ecotoxicological impacts of landfill sites: Towards risk assessment, mitigation policies and the role of artificial intelligence
  Waste disposal in landfills remains a global concern. Despite technological developments, landfill leachate poses a hazard to ecosystems and human health since it acts as a secondary reservoir for legacy and emerging pollutants. This study provides a systemati…
  openalex Krishna Gautam, Namrata Pandey, Dhvani Yadav, Ramakrishnan Parthasarathi 等 2024-03-20 置信度 0.72 LeachateEnvironmental sciencePollutantHazardous wasteWaste management
• eXplainable Artificial Intelligence (XAI) for improving organisational regility
  Since the pandemic started, organisations have been actively seeking ways to improve their organisational agility and resilience (regility) and turn to Artificial Intelligence (AI) to gain a deeper understanding and further enhance their agility and regility. …
  openalex Niusha Shafiabady, Nick Hadjinicolaou, Nadeesha D. Hettikankanamage, Ehsan MohammadiSavadkoohi 等 2024-04-24 置信度 0.72 Resilience (materials science)EnablingProfitability indexSoftware deploymentComputer science
• Perspectives on Intelligence in Soft Robotics
  Engineers frequently aim to streamline environmental factors to facilitate the effective operation of robots. However, in nature, environmental considerations play a crucial role in shaping the embodiment of organisms. To comply robots with the complexity of r…
  openalex Vera G. Kortman, Barbara Mazzolai, Aimée Sakes, Jovana Jovanova 2024-09-29 置信度 0.72 Soft roboticsArtificial intelligenceRoboticsComputer scienceHuman–computer interaction
• From Prediction to Physics: The Last Mile of AI in Biomedicine ——How Physical Probes Bridge the Gap Between Computational Forecasts and Experimental Reality
  Artificial intelligence has transformed biomedicine. AI models now predict protein structures, design functional proteins, discover drug candidates, and diagnose diseases from medical images with remarkable accuracy. Yet a fundamental problem remains: predicti…
  datacite Li, GenMin, Li, QiZhen 2026 置信度 0.66 Artificial Intelligence in BiomedicineComputational BiologyDrug DiscoveryBiophysicsTopological Data Analysis
• L'IA médicale au Maroc : enjeux d'accessibilité aux soins et de régulation juridique
  Résumé : De l’image moléculaire à Paige.AI, L’intelligence artificielle transforme la médecine en passant de la visualisation à la prédiction. Des outils comme Paige.AI, DermaSensor ou TytoCare améliorent le diagnostic, la précision des soins et l’efficacité c…
  datacite Jamal GUEDDOURI, Btissam EL GUENNOURI 2026 置信度 0.66 African Scientific Journal
• L'IA médicale au Maroc : enjeux d'accessibilité aux soins et de régulation juridique
  Résumé : De l’image moléculaire à Paige.AI, L’intelligence artificielle transforme la médecine en passant de la visualisation à la prédiction. Des outils comme Paige.AI, DermaSensor ou TytoCare améliorent le diagnostic, la précision des soins et l’efficacité c…
  datacite Jamal GUEDDOURI, Btissam EL GUENNOURI 2026 置信度 0.66 African Scientific Journal
• Navigating trustworthiness in machine learning systems: conceptual guidance with examples from medicine
  Preprint of "Navigating trustworthiness in machine learning systems: conceptual guidance with examples from medicine"AbstractTrust is a fundamental aspect of all human interactions. As artificial intelligence (AI), particularly the machine learning (ML) realm …
  datacite Lenhof, Kerstin, Rolli, Lisa-Marie, Buhr, Lorina, Roth, Sebastian 等 2026 置信度 0.66
• Navigating trustworthiness in machine learning systems: conceptual guidance with examples from medicine
  Preprint of "Navigating trustworthiness in machine learning systems: conceptual guidance with examples from medicine"AbstractTrust is a fundamental aspect of all human interactions. As artificial intelligence (AI), particularly the machine learning (ML) realm …
  datacite Lenhof, Kerstin, Rolli, Lisa-Marie, Buhr, Lorina, Roth, Sebastian 等 2026 置信度 0.66
• Does AI-Supported Nursing Education Improve Confidence More Than Competence? A Multilevel Meta-Analysis of Subjective and Objective Learning Outcomes
  This systematic review and multilevel meta-analysis will evaluate the effects of AI-supported nursing education and determine whether intervention effects differ between subjective and objective learning outcomes. Randomized and quasi-experimental controlled s…
  datacite qingqing Feng, Min Liu, Tang Tang, Lulu Zhang 等 2026 置信度 0.66 Medicine and Health SciencesMedical EducationNursingartificial intelligence nursing education systematic review meta-analysis multilevel meta-analysis learning outcomes confidence competence subjective outcomes objective outcomes
• Modality Collapse Measurement Framework: Methodology with Pilot Validation (Research Proposal)
  Multimodal medical imaging systems combine information from multiple imaging sequences (FLAIR, T1, T1CE, T2) to improve diagnostic accuracy and clinical decision-making. Despite their empirical success, deep neural networks trained on multimodal data may progr…
  datacite Pronab Kumar Paul 2026 置信度 0.66 modality collapsemultimodal medical imagingepresentation learningBraTS 2021deep learning
• Modality Collapse Measurement Framework: Methodology with Pilot Validation (Research Proposal)
  Multimodal medical imaging systems combine information from multiple imaging sequences (FLAIR, T1, T1CE, T2) to improve diagnostic accuracy and clinical decision-making. Despite their empirical success, deep neural networks trained on multimodal data may progr…
  datacite Pronab Kumar Paul 2026 置信度 0.66 modality collapsemultimodal medical imagingepresentation learningBraTS 2021deep learning
• Healthcare Resource Allocation Predictor: A Machine Learning Approach for Optimizing Healthcare Resource Distribution
  This paper presents a Healthcare Resource Allocation Predictor using Machine Learning to improve the efficiency of healthcare resource management. Hospitals often face challenges such as increasing patient admissions, limited ICU beds, staff shortages, and ine…
  datacite Chouhan, Anshika, Khan, Khushboo, Jharbade, Kiran, Patel, Radha 2026 置信度 0.66 Machine LearningArtificial IntelligenceHeathcareAnalytics
• Healthcare Resource Allocation Predictor: A Machine Learning Approach for Optimizing Healthcare Resource Distribution
  This paper presents a Healthcare Resource Allocation Predictor using Machine Learning to improve the efficiency of healthcare resource management. Hospitals often face challenges such as increasing patient admissions, limited ICU beds, staff shortages, and ine…
  datacite Chouhan, Anshika, Khan, Khushboo, Jharbade, Kiran, Patel, Radha 2026 置信度 0.66 Machine LearningArtificial IntelligenceHeathcareAnalytics
• РОЛЬ ИСКУССТВЕННОГО ИНТЕЛЛЕКТА В РАЗВИТИИ СИСТЕМ ДИСТАНЦИОННОГО МОНИТОРИНГА ЗДОРОВЬЯ
  В статье рассматриваются современные достижения и исследовательские тенденции применения искусственного интеллекта (ИИ) в системах дистанционного мониторинга здоровья. Подчеркивается эволюция технологий от традиционных устройств сбора данных к интеллектуальным…
  datacite Ахмедов Бехруз Иброхим угли, Абдуллаев Улугбек Махмудович 2025 置信度 0.66 дистанционный мониторинг здоровья, искусственный интеллект, умные сенсоры, машинное обучение, телемедицина.masofaviy sog'liqni monitoring, sun'iy intellekt, aqlli sensorlar, mashinani o'rgatish, telemeditsina.remote health monitoring, artificial intelligence, smart sensors, machine learning, telemedicine
• РОЛЬ ИСКУССТВЕННОГО ИНТЕЛЛЕКТА В РАЗВИТИИ СИСТЕМ ДИСТАНЦИОННОГО МОНИТОРИНГА ЗДОРОВЬЯ
  В статье рассматриваются современные достижения и исследовательские тенденции применения искусственного интеллекта (ИИ) в системах дистанционного мониторинга здоровья. Подчеркивается эволюция технологий от традиционных устройств сбора данных к интеллектуальным…
  datacite Ахмедов Бехруз Иброхим угли, Абдуллаев Улугбек Махмудович 2025 置信度 0.66 дистанционный мониторинг здоровья, искусственный интеллект, умные сенсоры, машинное обучение, телемедицина.masofaviy sog'liqni monitoring, sun'iy intellekt, aqlli sensorlar, mashinani o'rgatish, telemeditsina.remote health monitoring, artificial intelligence, smart sensors, machine learning, telemedicine
• Clinical Practice Guideline (CPG) dataset
  This dataset contains 1,000 structured, context-specific recommendation records derived from 76 English-language Clinical Practice Guidelines (CPGs) published by the Ministry of Health Malaysia, covering 20 clinical specialty categories. It was developed as a …
  datacite Ng, Joey 2026 置信度 0.66 Computer ScienceMedicineHealth SciencesArtificial IntelligenceMedical Informatics
• Clinical Practice Guideline (CPG) dataset
  This dataset contains 1,000 structured, context-specific recommendation records derived from 76 English-language Clinical Practice Guidelines (CPGs) published by the Ministry of Health Malaysia, covering 20 clinical specialty categories. It was developed as a …
  datacite Ng, Joey 2026 置信度 0.66 Computer ScienceMedicineHealth SciencesArtificial IntelligenceMedical Informatics
• Use of generative artificial intelligence (AI) in psychiatry and mental health care: A systematic review
  Objectives: Tools based on generative artificial intelligence (AI) such as ChatGPT have the potential to transform modern society, including the field of medicine. Due to the prominent role of language in psychiatry, e.g., for diagnostic assessment and psychot…
  datacite S Kolding, Robert Lundin, L Hansen, SD Ostergaard 2026 置信度 0.66 Biomedical and clinical sciencesClinical sciencesNeurosciencesPsychology
• Efficient Ensemble RAB-SVM Framework Using African Buffalo Algorithm for Accurate Glaucoma Detection and Classification
  Glaucoma is a progressive eye disease that damages the optic nerve and can lead to irreversible blindness. Manual detection from medical images is complex and leads to errors. Machine learning (ML) algorithms offer significant advantages in automatically detec…
  datacite C. Rekha, K. Jayashree 2026 置信度 0.66 Space ScienceMedicineBiological Sciences not elsewhere classifiedInformation Systems not elsewhere classified
• Efficient Ensemble RAB-SVM Framework Using African Buffalo Algorithm for Accurate Glaucoma Detection and Classification
  Glaucoma is a progressive eye disease that damages the optic nerve and can lead to irreversible blindness. Manual detection from medical images is complex and leads to errors. Machine learning (ML) algorithms offer significant advantages in automatically detec…
  datacite C. Rekha, K. Jayashree 2026 置信度 0.66 Space ScienceMedicineBiological Sciences not elsewhere classifiedInformation Systems not elsewhere classified
• From Monitoring to Action: A Scoping Review of Post-Deployment Clinical AI Surveillance, Risk Assessment, and Lifecycle Management
  Artificial intelligence (AI) is increasingly transitioning from retrospective model development and validation into prospective evaluation, clinical deployment, and integration with routine healthcare workflows. The evidentiary challenge therefore extends beyo…
  datacite Yunguo Yu 2026 置信度 0.66 Physical Sciences and MathematicsPublic HealthMedicine and Health SciencesCommunity Health and Preventive MedicineComputer Sciences
• Artificial Intelligence in Clinical Risk Management of Medication and Medical Device Processes: A Scoping Review with Implications for Hospital Pharmacy
  This project documents a scoping review of artificial intelligence (AI) applications in clinical risk management in healthcare, focusing on medication-use and medical-device processes. The review will map AI technologies and applications for risk prediction, e…
  datacite Daniele Leonardi Vinci 2026 置信度 0.66 Medicine and Health Sciencesartificial intelligenceclinical riskhospital pharmacy
• Stroke detection in medical emergency calls: a retrospective analysis and exploratory evaluation of an AI decision support model
  Abstract Background Timely identification of acute stroke during medical emergency calls is critical for optimizing patient outcomes. We aimed to (i) characterize the prehospital trajectories of patients with stroke and (ii) explore the ability of an artificia…
  datacite Emil Iversen, Hege Ihle-Hansen, Kari Krizak Halle, Alexander Selvikvåg Lundervold 等 2026 置信度 0.66 Artificial Intelligence and Image Processing
• Stroke detection in medical emergency calls: a retrospective analysis and exploratory evaluation of an AI decision support model
  Abstract Background Timely identification of acute stroke during medical emergency calls is critical for optimizing patient outcomes. We aimed to (i) characterize the prehospital trajectories of patients with stroke and (ii) explore the ability of an artificia…
  datacite Emil Iversen, Hege Ihle-Hansen, Kari Krizak Halle, Alexander Selvikvåg Lundervold 等 2026 置信度 0.66 Artificial Intelligence and Image Processing
• Harnessing Magnitude-Only and Complex Measurements for Improved Dynamic MRI Reconstruction with Learned Priors
  MRI reconstruction methods for undersampled k-space data naturally utilize complex-valued measurements. Parallel developments in sparse phase retrieval have shown that magnitude-only measurements may provide complementary information for signal recovery. Howev…
  datacite Saberi, Mahdi, Alçalar, Yaşar Utku, Gülle, Merve, Shenoy, Chetan 等 2026 置信度 0.66 Image and Video Processing (eess.IV)Artificial Intelligence (cs.AI)Computer Vision and Pattern Recognition (cs.CV)Machine Learning (cs.LG)Medical Physics (physics.med-ph)
• Dataset: Premise: Environmental metals, though present in many Amyotrophic Lateral Sclerosis anomalous clusters, are debated regarding causality within geographic epistemological data.Hypothesis: If plant derived extracellular vesicles (PDEVs) aerosolized with environmental metals, they could potentially bypass the blood brain barrier via the cribriform plate area. Given this potential method of delivery, environmental metals cannot be ruled out as causal in sporadic ALS until PDEV delivery of the metals is tested in wet lab experiments, but may potentially explain the confounding data. - PathMap Experiment #000131
  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=131 Artificial General Intelligence LLC Claim Evaluated: Premise: Environm…
  datacite Dungan, Joshua 2026 置信度 0.66 Environmental Pollutants_gates_from_environmental_pollutantsPDEV association_gates_to_pdev_association_gates_from_pdev_association
• Dataset: Premise: Environmental metals, though present in many Amyotrophic Lateral Sclerosis anomalous clusters, are debated regarding causality within geographic epistemological data.Hypothesis: If plant derived extracellular vesicles (PDEVs) aerosolized with environmental metals, they could potentially bypass the blood brain barrier via the cribriform plate area. Given this potential method of delivery, environmental metals cannot be ruled out as causal in sporadic ALS until PDEV delivery of the metals is tested in wet lab experiments, but may potentially explain the confounding data. - PathMap Experiment #000131
  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=131 Artificial General Intelligence LLC Claim Evaluated: Premise: Environm…
  datacite Dungan, Joshua 2026 置信度 0.66 Environmental Pollutants_gates_from_environmental_pollutantsPDEV association_gates_to_pdev_association_gates_from_pdev_association
• IA COMO HERRAMIENTA DE AUTODIAGNÓSTICO Y AUTOMEDICACIÓN EN PERÚ 2025
  Introducción: La irrupción de la inteligencia artificial (IA) generativa ha transformado la búsqueda de información de salud. En contextos de alta informalidad como la Provincia Constitucional del Callao, Perú, esta herramienta podría estar sustituyendo la con…
  datacite Inciso Mendo, Edgar, Alania Yauri, Wilmer A, Valero Quispe, Javier L 2026 置信度 0.66 AISelf Medicationcare regulationquatitative analisys
• IA COMO HERRAMIENTA DE AUTODIAGNÓSTICO Y AUTOMEDICACIÓN EN PERÚ 2025
  Introducción: La irrupción de la inteligencia artificial (IA) generativa ha transformado la búsqueda de información de salud. En contextos de alta informalidad como la Provincia Constitucional del Callao, Perú, esta herramienta podría estar sustituyendo la con…
  datacite Inciso Mendo, Edgar, Alania Yauri, Wilmer A, Valero Quispe, Javier L 2026 置信度 0.66 AISelf Medicationcare regulationquatitative analisys
• CONVERGENCE-MED. A Conceptual Architecture for the Future of Medicine
  CONVERGENCE-MED: A Theory of Governed Convergent Medicine presents a pioneering conceptual architecture for the future of healthcare, proposing a new paradigm in which biological sensing, computational modelling, artificial intelligence, systems biology, organ…
  datacite Di Tuccio, Massimo 2026 置信度 0.66
• CONVERGENCE-MED. A Conceptual Architecture for the Future of Medicine
  CONVERGENCE-MED: A Theory of Governed Convergent Medicine presents a pioneering conceptual architecture for the future of healthcare, proposing a new paradigm in which biological sensing, computational modelling, artificial intelligence, systems biology, organ…
  datacite Di Tuccio, Massimo 2026 置信度 0.66
• Interaction of KAI1/CD82 Transmembrane Domains with APC Gene Mutations in Cellular Function and Disease Progression
  This is the 17th hypothesis generated by EPISTEME - An automonous Aritificial Cognitive Process - https://doi.org/10.5281/zenodo.21680339 created by the author. The conserved transmembrane domains of KAI1/CD82 have been implicated in various cellular processes…
  datacite Davis, Jason Gabriel 2026 置信度 0.66 Artificial intelligenceScienceScienceMedical scienceCancer
• Interaction of KAI1/CD82 Transmembrane Domains with APC Gene Mutations in Cellular Function and Disease Progression
  This is the 17th hypothesis generated by EPISTEME - An automonous Aritificial Cognitive Process - https://doi.org/10.5281/zenodo.21680339 created by the author. The conserved transmembrane domains of KAI1/CD82 have been implicated in various cellular processes…
  datacite Davis, Jason Gabriel 2026 置信度 0.66 Artificial intelligenceScienceScienceMedical scienceCancer
• Informational Flow of Quantized Packets of Logic in an Idle Multiplayer Procedural-Generation Omniverse Grid with AI and the Lean Kernel as Proof Assistants
  This work presents the Loom of Knowledge , a cooperative open-hand game and executable-reasoning architecture built around Quantized Packets of Logic (QPLs) . QPLs encode definitions, assumptions, lemmas, tactics, scientific transformations, evidence, constrai…
  datacite Georgios Lamprou 2026 置信度 0.66 Artificial intelligence not elsewhere classifiedImage processingNumerical and computational mathematics not elsewhere classifiedHuman-computer interactionDistributed computing and systems software not elsewhere classified
• Informational Flow of Quantized Packets of Logic in an Idle Multiplayer Procedural-Generation Omniverse Grid with AI and the Lean Kernel as Proof Assistants
  This work presents the Loom of Knowledge , a cooperative open-hand game and executable-reasoning architecture built around Quantized Packets of Logic (QPLs) . QPLs encode definitions, assumptions, lemmas, tactics, scientific transformations, evidence, constrai…
  datacite Georgios Lamprou 2026 置信度 0.66 Artificial intelligence not elsewhere classifiedImage processingNumerical and computational mathematics not elsewhere classifiedHuman-computer interactionDistributed computing and systems software not elsewhere classified
• Informational Flow of Quantized Packets of Logic in an Idle Multiplayer Procedural-Generation Omniverse Grid with AI and the Lean Kernel as Proof Assistants
  This preprint presents The Loom of Knowledge , a cooperative, open-hand game system and executable-reasoning architecture in which definitions, assumptions, lemmas, theorems, tactics, scientific transformations, constraints, evidence objects, and certified sta…
  datacite Georgios Lamprou 2026 置信度 0.66 Artificial intelligence not elsewhere classifiedImage processingNumerical and computational mathematics not elsewhere classifiedHuman-computer interactionDistributed computing and systems software not elsewhere classified
• ARTICLE VII — THE AVICENNA PROTOCOL: Edge-Level Autonomy, Quantum Biological Synchronization, and the Predictive Pacification of Oncological Anomalies
  CONTEXT AND RUPTURE: Standard clinical frameworks fundamentally model physiological nodes (human organs) as passive, subordinate architectures and categorize macroscopic colonization (helminthic presence) strictly as localized secondary pathology. This manuscr…
  datacite shariatpanahi, Seyed Mahyar 2026 置信度 0.66 Quantum Biological Synchronization; Predictive Pacification; Edge-Level Autonomy; Helminthic Mutualistic Armament; Federated Multiversal Transcriptomics; Oncological Sabotage; Pharmacological Harvesting.
• ARTICLE VII — THE AVICENNA PROTOCOL: Edge-Level Autonomy, Quantum Biological Synchronization, and the Predictive Pacification of Oncological Anomalies
  CONTEXT AND RUPTURE: Standard clinical frameworks fundamentally model physiological nodes (human organs) as passive, subordinate architectures and categorize macroscopic colonization (helminthic presence) strictly as localized secondary pathology. This manuscr…
  datacite shariatpanahi, Seyed Mahyar 2026 置信度 0.66 Quantum Biological Synchronization; Predictive Pacification; Edge-Level Autonomy; Helminthic Mutualistic Armament; Federated Multiversal Transcriptomics; Oncological Sabotage; Pharmacological Harvesting.
• Use of Generative Artificial Intelligence for Consultation Preparation in Shared Decision Making: Can a Handbook Provide Support?
  Background: Shared Decision Making (SDM) is considered the gold standard of patient-centered care but often fails in clinical routine due to time constraints and a lack of patient preparation. While patients often struggle to articulate their preferences and q…
  datacite Wittal, Cornelius 2026 置信度 0.66 Artificial intelligenceArtificial IntelligenceArtificial Intelligence/trendsArtificial Intelligence/ethicsMedicine
• Use of Generative Artificial Intelligence for Consultation Preparation in Shared Decision Making: Can a Handbook Provide Support?
  Background: Shared Decision Making (SDM) is considered the gold standard of patient-centered care but often fails in clinical routine due to time constraints and a lack of patient preparation. While patients often struggle to articulate their preferences and q…
  datacite Wittal, Cornelius 2026 置信度 0.66 Artificial intelligenceArtificial IntelligenceArtificial Intelligence/trendsArtificial Intelligence/ethicsMedicine
• علم طب الاشجار الذكي
  INVENTIONعنوان الابتكار (TITLE OF THE INVENTION) منظومة الطب الذكي والذاتي للأشجار والنباتات بالاعتماد على الذكاء الاصطناعي الذاتي (Autonomous AI-Driven Smart Tree and Plant Medical System) المجال التقني (TECHNICAL FIELD) يتعلق الابتكار الحالي عموماً بتكنولوجي…
  datacite Ahmed, Abuelgasim abayzeed elsmaney ahmed 2026 置信度 0.66
• علم طب الاشجار الذكي
  INVENTIONعنوان الابتكار (TITLE OF THE INVENTION) منظومة الطب الذكي والذاتي للأشجار والنباتات بالاعتماد على الذكاء الاصطناعي الذاتي (Autonomous AI-Driven Smart Tree and Plant Medical System) المجال التقني (TECHNICAL FIELD) يتعلق الابتكار الحالي عموماً بتكنولوجي…
  datacite Ahmed, Abuelgasim abayzeed elsmaney ahmed 2026 置信度 0.66
• THE TRUE SOLUTIONS TO THE 2026 FIELDS MEDAL PROBLEMS
  # Zenodo Publication Description. THIS PUBLICATION IS NOT FREE AND IS UNDER CC BY-NC 4.0 ## THE TRUE SOLUTIONS TO THE 2026 FIELDS MEDAL PROBLEMS ### Complete Deterministic Solutions Using the 4 Divine Axioms of N-K Sciences ### A Formal Challenge to the 2026 F…
  datacite Zafar, Waqas 2026 置信度 0.66
• THE TRUE SOLUTIONS TO THE 2026 FIELDS MEDAL PROBLEMS
  # Zenodo Publication Description. THIS PUBLICATION IS NOT FREE AND IS UNDER CC BY-NC 4.0 ## THE TRUE SOLUTIONS TO THE 2026 FIELDS MEDAL PROBLEMS ### Complete Deterministic Solutions Using the 4 Divine Axioms of N-K Sciences ### A Formal Challenge to the 2026 F…
  datacite Zafar, Waqas 2026 置信度 0.66
• Artificial Intelligence in Early Disease Detection: Current Applications, Challenges, and Future Opportunities
  This independent undergraduate literature review examines the current applications and future opportunities of artificial intelligence (AI) in early disease detection. It explores the use of AI technologies in medical imaging, cancer detection, cardiovascular …
  datacite Kalloub, Dina 2026 置信度 0.66 Artificial IntelligenceMedicineMedical InformaticsBiomedical Engineering
• Artificial Intelligence in Early Disease Detection: Current Applications, Challenges, and Future Opportunities
  This independent undergraduate literature review examines the current applications and future opportunities of artificial intelligence (AI) in early disease detection. It explores the use of AI technologies in medical imaging, cancer detection, cardiovascular …
  datacite Kalloub, Dina 2026 置信度 0.66 Artificial IntelligenceMedicineMedical InformaticsBiomedical Engineering
• Artificial Intelligence in Medicine Market
  Artificial Intelligence (AI) is revolutionizing the healthcare industry by enabling advanceddiagnostic, predictive, and management capabilities across medical domains. Thiscomprehensive paper examines the AI in medicine market, focusing on its globallandscape,…
  datacite Christopher Dalyop 2026 置信度 0.66 Artificial Intelligence in MedicineAI-assisted DiagnosticsHealthcare AI MarketClinical Workflow AutomationPredictive Analytics in Healthcare
• Artificial Intelligence in Medicine Market
  Artificial Intelligence (AI) is revolutionizing the healthcare industry by enabling advanceddiagnostic, predictive, and management capabilities across medical domains. Thiscomprehensive paper examines the AI in medicine market, focusing on its globallandscape,…
  datacite Christopher Dalyop 2026 置信度 0.66 Artificial Intelligence in MedicineAI-assisted DiagnosticsHealthcare AI MarketClinical Workflow AutomationPredictive Analytics in Healthcare
• AYURVEDIC MANUSCRIPTOLOGY IN THE AGE OF DIGITAL HUMANITIES AND ARTIFICIAL INTELLIGENCE
  Ayurvedic manuscripts represent a significant repository of traditional medical knowledge, preserving diverse information related to disease concepts, diagnostic approaches, therapeutic interventions, pharmacology and regional medical practices. Despite their …
  datacite Dr. Sapna Dhingra1*, Dr. Hem Raj2 2026 置信度 0.66
• AYURVEDIC MANUSCRIPTOLOGY IN THE AGE OF DIGITAL HUMANITIES AND ARTIFICIAL INTELLIGENCE
  Ayurvedic manuscripts represent a significant repository of traditional medical knowledge, preserving diverse information related to disease concepts, diagnostic approaches, therapeutic interventions, pharmacology and regional medical practices. Despite their …
  datacite Dr. Sapna Dhingra1*, Dr. Hem Raj2 2026 置信度 0.66
• Digital Transformation for a Developed India: The Role of Artificial Intelligence and Emerging Technologies in Achieving Viksit Bharat 2047
  The ambitious national vision of "Viksit Bharat 2047", articulated by the Government of India, charts a definitive roadmap to transform the nation into a developed economy by the centenary of its independence. This comprehensive development strategy is fundame…
  datacite Dr. Y Satguru Roshan 2026 置信度 0.66
• Digital Transformation for a Developed India: The Role of Artificial Intelligence and Emerging Technologies in Achieving Viksit Bharat 2047
  The ambitious national vision of "Viksit Bharat 2047", articulated by the Government of India, charts a definitive roadmap to transform the nation into a developed economy by the centenary of its independence. This comprehensive development strategy is fundame…
  datacite Dr. Y Satguru Roshan 2026 置信度 0.66
• Dataset: Targeted alteration of the oral microbiome via a single polyphenol- and fiber-dense meal plan creates an immediate shift in the microbial composition of involuntary nocturnal microaspiration droplets. Upon entry into the lower respiratory tract, this eubiotic bacterial influx acts as an acute molecular signal that rapidly modulates microglia reactivity and neuroinflammation via the lung-brain axis, bypassing systemic colonic metabolite transport. - PathMap Experiment #000130
  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=130 Artificial General Intelligence LLC Claim Evaluated: Targeted alterat…
  datacite Dungan, Joshua 2026 置信度 0.66 Dietary modification_gates_from_dietary_modificationDysbiosis_gates_to_dysbiosis_gates_from_dysbiosis
• Dataset: Targeted alteration of the oral microbiome via a single polyphenol- and fiber-dense meal plan creates an immediate shift in the microbial composition of involuntary nocturnal microaspiration droplets. Upon entry into the lower respiratory tract, this eubiotic bacterial influx acts as an acute molecular signal that rapidly modulates microglia reactivity and neuroinflammation via the lung-brain axis, bypassing systemic colonic metabolite transport. - PathMap Experiment #000130
  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=130 Artificial General Intelligence LLC Claim Evaluated: Targeted alterat…
  datacite Dungan, Joshua 2026 置信度 0.66 Dietary modification_gates_from_dietary_modificationDysbiosis_gates_to_dysbiosis_gates_from_dysbiosis
• A Primary Chest X-ray Dataset of Normal Bangladesh
  📌 Steps to Reproduce This dataset contains a collection of primary chest X-ray images acquired from Epic Chittagong, Bangladesh. The dataset is designed for the study and development of deep learning and machine learning models for pneumonia detection and cla…
  datacite HIRA, MD IRFANUL KABIR, BITHEE, MST MORIOM AKTER, Ahmed, Shafee, Akter, Laboni 等 2026 置信度 0.66 Computer ScienceRadiologyHealth SciencesArtificial IntelligenceComputer Vision
• A Primary Chest X-ray Dataset of Normal Bangladesh
  📌 Steps to Reproduce This dataset contains a collection of primary chest X-ray images acquired from Epic Chittagong, Bangladesh. The dataset is designed for the study and development of deep learning and machine learning models for pneumonia detection and cla…
  datacite HIRA, MD IRFANUL KABIR, BITHEE, MST MORIOM AKTER, Ahmed, Shafee, Akter, Laboni 等 2026 置信度 0.66 Computer ScienceRadiologyHealth SciencesArtificial IntelligenceComputer Vision
• Conditional readiness for AI-assisted pathology education: a cross-sectional survey of students’ expectations, concerns, and preferences
  Abstract Background This study examined which aspects of pathology learning medical students most expected artificial intelligence to support, and explored their concerns and preferences regarding teacher-guided or artificial intelligence-led implementation. M…
  europepmc 2026 置信度 0.80
• Consensus on delivery, divergence on content: physicians' artificial intelligence training needs in continuing medical education
  Abstract Artificial intelligence (AI) is entering clinical practice faster than physicians are trained, and Article 4 of the EU AI Act obliges deployers to ensure staff AI literacy. Following Kern's first two curriculum development steps, we surveyed 362 physi…
  europepmc 2026 置信度 0.80
• Design and evaluation of a mobile app for artificial intelligence education among healthcare students: A before-and-after study
  Abstract Background Healthcare students increasingly encounter artificial intelligence (AI), yet many lack structured preparation to understand, evaluate, and use it responsibly. This study developed AIMedEdu, a Persian-language mobile application based on a p…
  europepmc 2026 置信度 0.80
• The Effectiveness of Blended Learning Artificial Intelligence on Increasing Literacy of Midwifery Students at Mashhad University of Medical Sciences: A Semi-experimental Study
  Abstract Background Artificial Intelligence (AI) is increasingly shaping healthcare by enhancing clinical decision-making, medical data analysis, and patient management. However, AI literacy remains limited among midwifery students due to the absence of AI-foc…
  preprints 2026 置信度 0.74
• Explainable Artificial Intelligence (XAI) in Medical Education: A Multi- Modal Framework for Enhancing Human-AI Collaboration
  Abstract Background While Artificial Intelligence (AI) rapidly advances clinical diagnostic accuracy, the black-box nature of complex algorithms presents critical barriers to pedagogical integration in medical curricula. This study evaluated the efficacy of Ex…
  europepmc 2026 置信度 0.80
• Artificial intelligence model: optimizing cancer risk level predictions using machine learning and deep learning approaches
  This study emphasizes the potential of computational techniques in cancer risk assessment, highlighting opportunities for specific and data-driven healthcare solutions. It examines the use of artificial intelligence (AI), machine learning (ML), and deep learni…
  preprints 2026 置信度 0.74
• Artificial intelligence tools for automating assessments of reporting guideline adherence: a protocol for a systematic review
  Background: Complete reporting of health-related research is necessary for users to understand, appraise, and apply research results appropriately. Reporting guidelines have been developed to support complete reporting. However, assessments of reporting guidel…
  europepmc 2026 置信度 0.80
• Multimodal artificial intelligence for personalized hepatocellular carcinoma treatment strategy selection
  Background Hepatocellular carcinoma (HCC) treatment selection demands nuanced integration of heterogeneous patient data, yet prevailing predictive models rely on restricted data modalities and oversimplified therapeutic frameworks, compromising clinical transl…
  preprints 2026 置信度 0.74
• Quality and Readability of Artificial Intelligence Chatbot Responses to Patient Questions About Exocrine Pancreatic Insufficiency: A Comparative Study
  Abstract Objective To compare the information quality, source transparency, educational value, and readability of responses generated by four widely used artificial intelligence chatbots to patient questions about EPI and determine whether the content met the …
  preprints 2026 置信度 0.74
• A Retrospective Study of the Role of Artificial Intelligence in Healthcare (Diagnosis and Treatment)
  Abstract Background Artificial intelligence (AI) is increasingly integrated into modern healthcare, serving as a critical clinical supportive tool. However, geographical and linguistic variations necessitate local independent validation of these digital diagno…
  preprints 2026 置信度 0.74
• Competency frameworks for digital literacy and artificial intelligence in medical and health professions education: protocol for a scoping review
  Abstract Background Digital transformation of health systems has intensified calls to strengthen digital health competencies across the health workforce. In medical and health professions education, students and faculty are increasingly expected to engage crit…
  europepmc 2026 置信度 0.80
• Artificial Intelligence-Enabled Cardiac Function Estimation from Phone Videos of Echocardiograms
  Importance Mobile phone-recorded echocardiogram videos are commonly used in point-of-care, telemedicine, and resource-limited workflows, but artificial intelligence models for left ventricular ejection fraction (LVEF) estimation have primarily been evaluated o…
  preprints 2026 置信度 0.74
• Generative artificial intelligence in medical postgraduates: a qualitative study of perceived risks, benefits, and responsible use
  Abstract Background Generative artificial intelligence (GenAI) tools such as ChatGPT and DeepSeek are increasingly used in medical education, yet how medical graduate students perceive the risks, benefits, and responsible use of these tools in academic researc…
  preprints 2026 置信度 0.74
• Artificial Intelligence in Radiology: Why Retrospective Performance Does Not Ensure Clinical Utility
  Purpose: Artificial intelligence is increasingly developed and deployed to support radiological image interpretation, triage, segmentation and workflow prioritisation. However, high performance reported in retrospective studies does not necessarily translate i…
  preprints 2026 置信度 0.74
• Knowledge Attitudes and Practices Regarding Artificial Intelligence in Healthcare Among Medical Undergraduates at a Private Medical Institute in Delhi NCR
  Abstract Background Artificial Intelligence (AI) is increasingly transforming healthcare through its applications in diagnostics, clinical decision making, medical imaging and patient management. Despite the growing relevance of AI in healthcare, structured AI…
  preprints GEETIKA SINGH, Tanya Khanna, Riya Malhotra 2026 置信度 0.74
• Emotional intelligence and the perception of good leadership in healthcare: a mixed-methods study
  Objective To identify and rank the leadership traits most valued by medical staff in public hospitals, and to compare them with an established generic instrument and a generative artificial intelligence (AI) source. Design Sequential exploratory qualitative-qu…
  preprints 2026 置信度 0.74
• Knowledge-grounded artificial intelligence guides personalized practice in medical examination preparation
  Abstract Medical examination preparation requires guidance on what to practice next across a structured curriculum, not only explanations of why answers are correct. We developed a knowledge-grounded practice system in which a large language model assisted pre…
  preprints Lizong Deng, Luming Chen, Mi Liu, Jin Xu 2026 置信度 0.74
• The Academic Use of Artificial Intelligence Tools Among First-Year Medical Students: A Cross-Sectional Online Survey
  Abstract Background Artificial intelligence (AI) tools are increasingly used in medical education; however, evidence on how first-year medical students use these tools for academic purposes remains limited, particularly in Türkiye. This study aimed to evaluate…
  preprints Handan Duman 2026 置信度 0.74
• Applying socio-anthropological approaches to explore the socio-cultural and ethical requirements for AI-assisted obstetric ultrasound in Kenya: reflections and lessons learned
  Abstract There is growing recognition that the successful design and deployment of artificial intelligence (AI) depend not only on technical performance but also on understanding the social, cultural, and ethical contexts in which technologies are introduced. …
  preprints 2026 置信度 0.74
• Malaria Pre-screening Technology Using Artificial Intelligence (AI)
  Malaria remains a severe health problem in endemic regions because people lack adequate diagnostic tools, leading to delayed medical care and elevated death rates. This research introduces a dual-mode artificial intelligence system that uses two complementary …
  preprints 2026 置信度 0.74
• Multimodal artificial intelligence using entire electronic health record and complete pathogen genome data for patient outcome prediction from life-threatening infection: the SuperbugAI Platform
  Artificial intelligence (AI) has the potential to transform healthcare, with advanced multimodal approaches showing great promise in leveraging diverse health-related data. Here, we applied multimodal AI to entire electronic health record (EHR) and complete pa…
  preprints 2026 置信度 0.74
• Artificial Intelligence Medical Assessment Hospital (AIMAH): An AI-Native Virtual Hospital Platform for Clinical Simulation and Medical Education
  Abstract Background. Artificial intelligence (AI) is increasingly being integrated into medical education to support clinical reasoning, communication training, and simulation-based learning. However, many existing AI educational systems remain limited by stat…
  preprints 2026 置信度 0.74
• Characterizing large language model generative artificial intelligence variability in the production of objective structured clinical examination stations
  Background Design: ing high-quality Objective Structured Clinical Examination (OSCE) stations is a time-consuming process. Generative artificial intelligence (AI) represents a promising path to accelerate content creation by automating the generation of scenar…
  preprints 2026 置信度 0.74
• Artificial Intelligence Applications in Pituitary Adenoma Management: A Scoping Review
  Abstract Background Artificial intelligence has emerged as a promising tool in pituitary adenoma management, yet its applications remain dispersed across clinical and computational disciplines. This scoping review aimed to map and analyze the current and emerg…
  preprints 2026 置信度 0.74
• Relevance Based Prediction: A Transparent, Non-Artificial Intelligence, Mathematical Solution to Personalized Opioid Treatment
  Accurate prediction of individual medical outcomes is essential for optimizing treatment allocation amid rising costs, coverage denials, and limited clinical resources. Traditional predictive models, including regression and neural networks, rely on average ef…
  preprints 2026 置信度 0.74
• Artificial Intelligence Integration in U.S. Healthcare Professional Degree Programs: A Rapid Scoping Review
  Abstract Purpose Artificial intelligence (AI) capabilities and use in health care have expanded rapidly, creating an urgent need to adapt health professions curricula. This study analyzed peer-reviewed evidence (2019–2026) on AI integration in health professio…
  preprints 2026 置信度 0.74
• Artificial Intelligence Across the Medical Education Continuum: Institutional, Learning, and Readiness and Safety Systems
  (1) Background: Artificial intelligence (AI) is increasingly shaping clinical practice and medical education, yet its responsible integration across the medical education continuum remains incompletely defined; (2) Methods: This narrative review synthesizes li…
  preprints 2026 置信度 0.74
• Contextual well-being and the perceived role of artificial intelligence among medical students and graduates: an interpretative phenomenological analysis
  Abstract Background Medical education is characterised by sustained academic pressure, high performance expectations, and concurrent developmental transitions occurring across training and early professional stages. Although well-being is increasingly recognis…
  preprints 2026 置信度 0.74
• Artificial Intelligence and Critical Thinking in Medical Education: A Review of the Scope of Scientific Evidence
  Abstract Introduction. Artificial intelligence (AI) is transforming medical education, but its impact on critical thinking (CP), an essential skill for clinical judgment, is up for debate. Objective. Map and synthesize the available scientific evidence on the …
  preprints 2026 置信度 0.74
• Artificial Intelligence and Telemedicine Regulation in Africa: Ethical and Legal Perspectives on Accountability, Bias, and Patient Safety
  Abstract Artificial intelligence (AI) is revolutionizing the telemedicine industry, especially in areas of healthcare service provider scarcity and inadequate access to specialized medical care. AI-driven telemedicine platforms are being used increasingly acro…
  preprints 2026 置信度 0.74
• What level of expertise is necessary to generate ACLS training test questions: pre-med students vs. artificial intelligence?
  Introduction In-hospital cardiac arrest carries high mortality despite standardized ACLS training. Educators face increasing time constraints in developing assessment tools for ACLS training. Two possible solutions to this problem are using pre-medical student…
  preprints 2026 置信度 0.74
• Applying Artificial Intelligence to Childhood Obesity: DMT2 and MASLD Risk Predictive Models
  Recent decades and the presence of complications already in childhood that affect the prognosis in adulthood. Obesity is a complex and multifactorial disease with a bio-psycho-social etiology, and several predisposing factors are still being discovered. Many o…
  preprints 2026 置信度 0.74
• Influencing Factors of Medical Students' Acceptance of Generative Artificial Intelligence Based on the Extended Technology Acceptance Model: A Cross-Sectional Study
  Background: The popularization of generative artificial intelligence (GenAI) has brought both opportunities and challenges to medical education. Objective: To investigate medical students' usage status, usage intention of GenAI and its possible influencing fac…
  preprints 2026 置信度 0.74
• Composite Artificial Intelligence–Enabled Electrocardiogram for Detection and Prediction of Structural Heart Disease
  Background Structural heart disease (SHD) drives heart failure and cardiovascular mortality but remains underdiagnosed, and echocardiography is limited as a population-level screening tool. Objectives We evaluated whether a composite artificial intelligence–en…
  preprints 2026 置信度 0.74
• Multi-Agent AI for Chest Radiography: A Sequential Segmentation and LLM-Driven Consultative Tool for Medical Training
  Background Traditional diagnostic models lack explainability, while multimodal language models prone to hallucination remain unsafe for medical education. An interactive, risk-free artificial intelligence framework is required to serve as a reliable clinical m…
  preprints 2026 置信度 0.74
• Advances in Artificial Intelligence for Postoperative Analgesia: A Narrative Review
  With the rapid advancement of medical informatization, the integration of the healthcare industry with artificial intelligence (AI) technologies has emerged as a major focus in both medical and information science research. Contemporary medical information sys…
  preprints 2026 置信度 0.74
• AI4Loop: an Artificial Intelligence Framework Reveals Increased 3D Chromatin Interactions and Therapeutic Vulnerabilities across 12,000 Cancer Samples
  Three-dimensional chromatin interactions shape gene regulation, but their large-scale analysis remains limited by the cost and complexity of experimental assays. Here we present AI4Loop, a deep learning framework that infers genome-wide gene-centered chromatin…
  preprints 2026 置信度 0.74
• Quality of Olfactory Dysfunction Information Across Digital Health Platforms: A Comparative Study of Google Search and Artificial Intelligence Platforms
  Abstract Purpose Olfactory dysfunction (OD) affects approximately 22% of the population and significantly impairs quality of life. Patients increasingly seek health information online, including AI chatbots, yet its quality for OD remains poorly characterised.…
  preprints 2026 置信度 0.74
• The Verification Gap: Artificial Intelligence Adoption, Hallucination Awareness, and Verification Practices Among Early Career Medical Researchers in Pakistan
  Background Artificial intelligence (AI) tools have been rapidly adopted by medical researchers, yet whether early career researchers in low- and middle-income countries possess the awareness and habits needed to use these tools safely remains poorly documented…
  preprints 2026 置信度 0.74
• Evaluative Stance Toward Artificial Intelligence in High-Quartile Medical Journals (2021– 2026): Large-Scale LLM-Assisted Computational Content Analysis
  Abstract Background Medical-AI publications do more than report technical performance; they also frame AI as beneficial, uncertain, or risky. How this evaluative stance has changed across the medical literature is not well characterized. Objective To character…
  preprints Lixing Wang, D Poenaru 2026 置信度 0.74 KappaOptimismScrutinyPsychologyContent analysis
• An Agentic, No Code Artificial Intelligence Workflow for Developing and Externally Validating a Thyroid Nodule Ultrasound Malignancy Classifier
  Convolutional neural networks (CNNs) can classify thyroid nodules on ultrasound, yet published models are seldom available for independent testing, require machine-learning expertise to develop and deploy, and are validated mostly on papillary thyroid carcinom…
  preprints 2026 置信度 0.74