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• From Automated ECG Interpretation to Multimodal Cardiovascular Intelligence: The Evolution of Artificial Intelligence in Cardiovascular Medicine.
  Artificial intelligence (AI) is rapidly transforming cardiovascular medicine, driven by the increasing availability of large-scale clinical data and advances in machine learning. Early computational applications in cardiology were primarily limited to rule-bas…
  europepmc 2026 置信度 0.80
• Artificial Intelligence in Veterinary Neurology: Comparative Insights From Human Medicine and Cross-Species Technology Transfer.
  Background Artificial intelligence (AI) is increasingly explored in veterinary neurology for pattern recognition, prediction and clinical decision support, with relevance to comparative and translational neuroscience. Objectives This review examines AI applica…
  europepmc 2026 置信度 0.80
• Editorial commentary: Artificial intelligence in cardiovascular imaging: will we still need the human touch?
  europepmc 2026 置信度 0.80
• Trustworthy AI-Powered Intrusion Detection for the Internet of Medical Things (IoMT): A Review.
  The Internet of Medical Things (IoMT) is transforming healthcare through continuous patient monitoring, telemedicine, cloud-edge services, and Healthcare 5.0. However, the rapid growth of interconnected medical devices has expanded the healthcare cyberattack s…
  europepmc 2026 置信度 0.80
• Explainable Artificial Intelligence (AI) for Medical Imaging: A Framework for Bridging the AI Trust Gap.
  Artificial intelligence (AI) is increasingly used in health care but often lacks clinician and patient trust. Explainable AI (XAI) aims to clarify predictions and to make AI decisions more transparent, interpretable, and clinically actionable. However, current…
  europepmc 2026 置信度 0.80
• Physicians' perspectives on artificial intelligence in electrocardiography in clinical practice: a qualitative study.
  Background Artificial intelligence-enhanced electrocardiography (AI-ECG) may support ECG interpretation, prioritization, and workflow efficiency. ECGs are widely used, inexpensive, and often obtained with a low clinical threshold, meaning that AI-ECG may affec…
  europepmc 2026 置信度 0.80
• Ethical considerations for artificial intelligence use in clinical practice: a comparative study of EU member state frameworks.
  Objective Regulatory frameworks governing artificial intelligence (AI) in medical practice vary widely across European Union (EU) member states. We assessed the extent to which national medical bodies' codes of conduct address the clinical use of AI. Methods C…
  europepmc 2026 置信度 0.80
• Diagnostic performance of artificial intelligence models trained on scattered single-cell images is not preserved for hyperchromatic crowded cell groups in cervical cytology.
  Background Deep learning has shown promising performance in cervical cytology; however, many studies have relied on presegmented single-cell images rather than the more complex morphologic patterns encountered in routine practice. Here, scattered cells were de…
  europepmc 2026 置信度 0.80
• Application of artificial intelligence in geriatric infection: recent advances and prospects.
  Background As global population aging accelerates, infectious diseases in older adults have emerged as a growing public health burden with substantial clinical, economic, and societal implications. The rapid advancement of artificial intelligence (AI) offers a…
  europepmc 2026 置信度 0.80
• Artificial intelligence readiness and its relationship with thriving at work among Chinese nurses: a latent profile analysis.
  Objectives To explore the latent profile categories of nurses' artificial intelligence readiness and analyze the relationship between these categories and thriving at work, so as to provide references for nursing managers to develop targeted management strateg…
  europepmc 2026 置信度 0.80
• Patterns of Generative Artificial Intelligence Use and Medical Students' Perceptions of Learning Among Eighth Semester Medical Students at Universidade Católica Timorense (UCT), Timor-Leste
  Abstract The rapid development of generative artificial intelligence (GenAI) has transformed medical education by providing students with new opportunities to support learning, academic writing, and problem-solving. Despite its growing adoption worldwide, evid…
  europepmc 2026 置信度 0.80
• Artificial Intelligence Analysis of Standard 12-Lead Electrocardiograms for Screening of Symptomatic Diabetic Peripheral Neuropathy.
  Aim To investigate whether artificial intelligence (AI) models trained on standard 12-lead electrocardiograms (ECG) can identify symptom-defined diabetic peripheral neuropathy (DPN) as assessed by the Michigan Neuropathy Screening Instrument Questionnaire (MNS…
  europepmc 2026 置信度 0.80
• Perceptions of Greek radiographers and radiologists on the impact of artificial intelligence in medical imaging: A cross-sectional study.
  Introduction This study aimed to examine the perceptions of Greek radiographers and radiologists on integrating artificial intelligence (AI) in medical imaging (MI). Methods A convenience sampling approach was used. The questionnaire was distributed across fif…
  europepmc 2026 置信度 0.80
• Artificial Intelligence-Based Tools Across Skin Tones: A Scoping Review of Bias and Diagnostic Performance
  Artificial intelligence (AI) has emerged as a rapidly advancing tool in dermatology, particularly in the diagnosis of skin conditions using image-based algorithms. Machine learning and deep learning models have demonstrated promising diagnostic performance, in…
  datacite Amna Noor 2026 置信度 0.66 DermatologyMedicine and Health SciencesMedical Specialties
• Detekcija Temporalnog Rizika kod Nesitnostaničnog Karcinoma Pluća: Fraktalno-UTL Okvir Temeljen na EWMA
  🧠 Sažetak Predstavljamo okvir za detekciju temporalnog rizika koji kombinira eksponencijalno ponderiranu pomičnu sredinu (EWMA) akumulacije rizika s fraktalnom karakterizacijom tumora, s ciljem precizne prognoze ishoda u stvarnom vremenu kod nesitnostaničnog …
  datacite Sabljic, Branimir 2025 置信度 0.66 NSCLCFractal analysisEWMATemporal risk detectionRadiomics
• Detekcija Temporalnog Rizika kod Nesitnostaničnog Karcinoma Pluća: Fraktalno-UTL Okvir Temeljen na EWMA
  🧠 Sažetak Predstavljamo okvir za detekciju temporalnog rizika koji kombinira eksponencijalno ponderiranu pomičnu sredinu (EWMA) akumulacije rizika s fraktalnom karakterizacijom tumora, s ciljem precizne prognoze ishoda u stvarnom vremenu kod nesitnostaničnog …
  datacite Sabljic, Branimir 2025 置信度 0.66 NSCLCFractal analysisEWMATemporal risk detectionRadiomics
• MYCIN: A RULE-BASED EXPERT SYSTEM FOR ANTIMICROBIAL THERAPY SELECTION IN MEDICAL DIAGNOSIS — A REVIEW AND CRITICAL ANALYSIS
  ABSTRACT Expert systems represent one of the earliest and most influential branches of applied artificial intelligence, aiming to replicate the decision-making capability of a human specialist within a narrow, well-defined domain. Among the pioneering efforts …
  datacite G.V. Poornima Radhalakshmi, V.Srimuki, S.Prethika, Dr.S.Suganyadevi 2026 置信度 0.66 Expert SystemMYCINArtificial IntelligenceMedical DiagnosisRule-Based Reasoning
• MYCIN: A RULE-BASED EXPERT SYSTEM FOR ANTIMICROBIAL THERAPY SELECTION IN MEDICAL DIAGNOSIS — A REVIEW AND CRITICAL ANALYSIS
  ABSTRACT Expert systems represent one of the earliest and most influential branches of applied artificial intelligence, aiming to replicate the decision-making capability of a human specialist within a narrow, well-defined domain. Among the pioneering efforts …
  datacite G.V. Poornima Radhalakshmi, V.Srimuki, S.Prethika, Dr.S.Suganyadevi 2026 置信度 0.66 Expert SystemMYCINArtificial IntelligenceMedical DiagnosisRule-Based Reasoning
• The Gap Between Artificial Intelligence Use and Disclosure in Academic Publishing: A Scoping Review Protocol
  This scoping review will systematically identify, map, and synthesize empirical evidence on the gap between artificial intelligence use and disclosure in academic publishing. The review will include studies reporting empirical data on the prevalence of artific…
  datacite Philippe Poirier, 4. Yasser Bouklouch, Stephanie Parent-Harvey, Isabella Bozzo 等 2026 置信度 0.66 Health Information TechnologyMedical SciencesMedicine and Health SciencesBioethics and Medical EthicsAI disclosure
• on consciousness and perception of reality
  This study aims to re-evaluate the Boltzmann Brain paradox not merely as a cosmological and statistical problem, but also from a psychophysical perspective. It demonstrates striking similarities between phenomena such as hypnosis, false memory syndrome, dissoc…
  datacite korkutata 2026 置信度 0.66 Boltzmann brainfalse memory syndromeentropycognitive scienceNeuromodulation
• on consciousness and perception of reality
  This study aims to re-evaluate the Boltzmann Brain paradox not merely as a cosmological and statistical problem, but also from a psychophysical perspective. It demonstrates striking similarities between phenomena such as hypnosis, false memory syndrome, dissoc…
  datacite korkutata 2026 置信度 0.66 Boltzmann brainfalse memory syndromeentropycognitive scienceNeuromodulation
• AMPLIFAI: A Multiphase CT Dataset for Benchmarking Clinical Reasoning in LI-RADS Assessment of Liver Lesions
  Hepatocellular carcinoma (HCC) is the third leading cause of cancer-related mortality worldwide, with early detection improving survival from <20% to >70%. The standardized Liver Imaging Reporting and Data System (LI-RADS) criteria provide an imaging-bas…
  datacite Kulkarni, Pranav, Shah, Nikhil, Suryavanshi, Amritansh, Delfino, Jana G. 等 2026 置信度 0.66 Computer Vision and Pattern Recognition (cs.CV)Machine Learning (cs.LG)FOS: Computer and information sciences
• Dataset: Hypothesis: Intraperitoneal administration of a thermoresponsive hydrogel loaded with borneol-functionalized ginger derived extracellular vesicles (Moxibustion-Modified GDEVs) may provide a sustained, localized delivery to ovarian tumors, potentially enhancing deep tissue penetration and inducing apoptosis without systemic chemotoxicity. - PathMap Experiment #000134
  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=134 Artificial General Intelligence LLC Claim Evaluated: Hypothesis: Intr…
  datacite Dungan, Joshua 2026 置信度 0.66 Extracellular Vesicles_gates_from_extracellular_vesiclesNanocarriers_gates_to_nanocarriersHydrogels
• Dataset: Hypothesis: Intraperitoneal administration of a thermoresponsive hydrogel loaded with borneol-functionalized ginger derived extracellular vesicles (Moxibustion-Modified GDEVs) may provide a sustained, localized delivery to ovarian tumors, potentially enhancing deep tissue penetration and inducing apoptosis without systemic chemotoxicity. - PathMap Experiment #000134
  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=134 Artificial General Intelligence LLC Claim Evaluated: Hypothesis: Intr…
  datacite Dungan, Joshua 2026 置信度 0.66 Extracellular Vesicles_gates_from_extracellular_vesiclesNanocarriers_gates_to_nanocarriersHydrogels
• Active: a unified platform for building intelligent applications
  Computers have become affordable, small, omnipresent and are often connected to the Internet. However, despite the availability of such rich environments, user interfaces have not been adapted to fully leverage their potential. In our view, user interfaces wil…
  datacite Guzzoni, Didier 2008 置信度 0.66 Intelligent AssistantsArtificial IntelligenceSoftware EngineeringAssistants IntelligentsIntelligence Artificielle
• PathMap Experiment #000023 - Tags: #TDP-43 pathology #RNA Splicing #Stathmin 2 #Vitreous Body #DNA-Binding Protein-43
  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=23 Artificial General Intelligence LLC Claim Evaluated: Does misfolded TD…
  datacite Dungan, Joshua 2026 置信度 0.66 TDP-43 pathology_gates_from_tdp-43_pathologyRNA Splicing_gates_to_rna_splicing_gates_from_rna_splicing
• PathMap Experiment #000023 - Tags: #TDP-43 pathology #RNA Splicing #Stathmin 2 #Vitreous Body #DNA-Binding Protein-43
  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=23 Artificial General Intelligence LLC Claim Evaluated: Does misfolded TD…
  datacite Dungan, Joshua 2026 置信度 0.66 TDP-43 pathology_gates_from_tdp-43_pathologyRNA Splicing_gates_to_rna_splicing_gates_from_rna_splicing
• Redakto - The Incognito Tab for LLMs
  Large Language Models (LLMs) are being increasingly used in everyday applications. A major challenge in the context of LLMs or Artificial Intelligence (AI) in general is to ensure privacy when using them, meaning that personally identifiable information (PII) …
  datacite Saha, Saurav Kumar, Röhr, Tom, Bießmann, Felix 2026 置信度 0.66 Artificial Intelligence (cs.AI)Computation and Language (cs.CL)Cryptography and Security (cs.CR)Information Retrieval (cs.IR)Machine Learning (cs.LG)
• Dataset: ApoE-mediated lipsignaling and EV-delivered bioenergetic substrates both converge on the stabilization of mitochondrial respiratory complexes, which is the requisite physiological precursor for renewed neurogenesis in the hippocampus. - PathMap Experiment #000133
  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=133 Artificial General Intelligence LLC Claim Evaluated: ApoE-mediated li…
  datacite Dungan, Joshua 2026 置信度 0.66 Apolipoprotein E4_gates_from_apolipoprotein_e4Mitochondrial Respiration_gates_to_mitochondrial_respirationExtracellular Vesicles
• Dataset: ApoE-mediated lipsignaling and EV-delivered bioenergetic substrates both converge on the stabilization of mitochondrial respiratory complexes, which is the requisite physiological precursor for renewed neurogenesis in the hippocampus. - PathMap Experiment #000133
  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=133 Artificial General Intelligence LLC Claim Evaluated: ApoE-mediated li…
  datacite Dungan, Joshua 2026 置信度 0.66 Apolipoprotein E4_gates_from_apolipoprotein_e4Mitochondrial Respiration_gates_to_mitochondrial_respirationExtracellular Vesicles
• TractoGraphVLM: A Unified Vision-Language Framework for White Matter Tractography
  Vision language models have transformed 2D medical imaging, yet extending them to 3D white matter tractography remains challenging due to the complex topology of fiber bundles. We introduce TractoGraphVLM, a unified framework for four tasks, bundle classificat…
  datacite Kumar, Gurucharan Marthi Krishna, Mendola, Janine Dale, Shmuel, Amir 2026 置信度 0.66 Image and Video Processing (eess.IV)Computer Vision and Pattern Recognition (cs.CV)FOS: Electrical engineering, electronic engineering, information engineeringFOS: Computer and information sciences
• Can inhaled COVID-19 vaccinations be used to help treat COPD? - PathMap Experiment #000040
  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=40 Artificial General Intelligence LLC Claim Evaluated: Can inhaled COVID…
  datacite Dungan, Joshua 2026 置信度 0.66 Pulmonary Disease, Chronic Obstructive_gates_from_pulmonary_disease,_chronic_obstructiveAdministration, Inhalation_gates_to_administration,_inhalation_gates_from_administration,_inhalation
• Can inhaled COVID-19 vaccinations be used to help treat COPD? - PathMap Experiment #000040
  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=40 Artificial General Intelligence LLC Claim Evaluated: Can inhaled COVID…
  datacite Dungan, Joshua 2026 置信度 0.66 Pulmonary Disease, Chronic Obstructive_gates_from_pulmonary_disease,_chronic_obstructiveAdministration, Inhalation_gates_to_administration,_inhalation_gates_from_administration,_inhalation
• Dataset: Discovery: Considering PubMed #41177462, intranasal S-GEVs co-functionalized with ApoE peptides may bypass the cribriform plate and target astrocytic LRP1 receptors in order to suppress NF-κB and may resolve some neuroinflammation in Alzheimer's and ALS. - PathMap Experiment #000132
  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=132 Artificial General Intelligence LLC Claim Evaluated: Discovery: Consi…
  datacite Dungan, Joshua 2026 置信度 0.66 Administration, Intranasal_gates_from_administration,_intranasalBlood-Brain Barrier_gates_to_blood-brain_barrierApolipoproteins E
• Dataset: Discovery: Considering PubMed #41177462, intranasal S-GEVs co-functionalized with ApoE peptides may bypass the cribriform plate and target astrocytic LRP1 receptors in order to suppress NF-κB and may resolve some neuroinflammation in Alzheimer's and ALS. - PathMap Experiment #000132
  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=132 Artificial General Intelligence LLC Claim Evaluated: Discovery: Consi…
  datacite Dungan, Joshua 2026 置信度 0.66 Administration, Intranasal_gates_from_administration,_intranasalBlood-Brain Barrier_gates_to_blood-brain_barrierApolipoproteins E
• DeHoLTZ: A Zero-Parameter Deterministic Derivation Database and Framework Built from a Single Lacunary Seed Seed: ∑ cos(π(√2)ⁿτ) / 2ⁿ | Axiom: dS/dτ > 0 | Rewrite: 0 → 01, 1 → 100
  Author: Mark Jacobson (Gson @gsemark), Stockholm, SwedenDate: 2026-08-15Version: v20.x The DeHoLTZ Framework This documentation presents the DeHoLTZ (Dimensionell Emergence + Hell of a Lot of Theories, Zero friction) framework, a comprehensive, zero-parameter,…
  datacite Jacobson, Mark 2026 置信度 0.66
• DeHoLTZ: A Zero-Parameter Deterministic Derivation Database and Framework Built from a Single Lacunary Seed Seed: ∑ cos(π(√2)ⁿτ) / 2ⁿ | Axiom: dS/dτ > 0 | Rewrite: 0 → 01, 1 → 100
  Author: Mark Jacobson (Gson @gsemark), Stockholm, SwedenDate: 2026-08-15Version: v20.x The DeHoLTZ Framework This documentation presents the DeHoLTZ (Dimensionell Emergence + Hell of a Lot of Theories, Zero friction) framework, a comprehensive, zero-parameter,…
  datacite Jacobson, Mark 2026 置信度 0.66
• PathMap Experiment #000018 - Tags: #Tobacco Smoke Pollution #Epithelium #Dysbiosis #Immune System Diseases #Cigarette Smoke
  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=18 Artificial General Intelligence LLC Claim Evaluated: Can smoking cigar…
  datacite Dungan, Joshua 2026 置信度 0.66 Tobacco Smoke Pollution_gates_from_tobacco_smoke_pollutionEpithelium_gates_to_epithelium_gates_from_epithelium
• PathMap Experiment #000018 - Tags: #Tobacco Smoke Pollution #Epithelium #Dysbiosis #Immune System Diseases #Cigarette Smoke
  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=18 Artificial General Intelligence LLC Claim Evaluated: Can smoking cigar…
  datacite Dungan, Joshua 2026 置信度 0.66 Tobacco Smoke Pollution_gates_from_tobacco_smoke_pollutionEpithelium_gates_to_epithelium_gates_from_epithelium
• A Practical Protocol for Conducting and Writing Medical Research: A Step-by-Step Guide for Medical Students
  A Practical Protocol for Conducting and Writing Medical Research: A Step-by-Step Guide for Medical Students This educational resource provides a practical, step-by-step framework to help medical students and early-stage researchers move from an initial researc…
  datacite Telli, Radhia chems 2026 置信度 0.66 Medical researchScientific writingResearch methodologyMedical studentsResearch protocol
• A Practical Protocol for Conducting and Writing Medical Research: A Step-by-Step Guide for Medical Students
  A Practical Protocol for Conducting and Writing Medical Research: A Step-by-Step Guide for Medical Students This educational resource provides a practical, step-by-step framework to help medical students and early-stage researchers move from an initial researc…
  datacite Telli, Radhia chems 2026 置信度 0.66 Medical researchScientific writingResearch methodologyMedical studentsResearch protocol
• AI-Driven Chronic Diseases Prediction Model Based on Stacking Machine Learning Algorithms
  Chronic diseases are responsible for most deaths worldwide. These illnesses are increasingly prevalent, and there is a dire need for systems that can predict diseases before they develop. Early detection and prediction solutions could exploit powerful tools of…
  datacite Hussein, Huda Naser, Miften, Firas Sabar 2026 置信度 0.66 DDC::6** Technik, Medizin, angewandte Wissenschaften
• PathMap Experiment #000006 - Tags: #Quercetin #Autophagy #Misfolded Proteins #DUX4
  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=6 Artificial General Intelligence LLC Claim Evaluated: Does existing in v…
  datacite Dungan, Joshua 2026 置信度 0.66 Quercetin_gates_from_quercetinAutophagy_gates_to_autophagy_gates_from_autophagy
• PathMap Experiment #000006 - Tags: #Quercetin #Autophagy #Misfolded Proteins #DUX4
  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=6 Artificial General Intelligence LLC Claim Evaluated: Does existing in v…
  datacite Dungan, Joshua 2026 置信度 0.66 Quercetin_gates_from_quercetinAutophagy_gates_to_autophagy_gates_from_autophagy
• What are the latest artificial intelligence technologies used in predicting breast cancer outcomes, and how do they compare to traditional methods?
  Artificial intelligence technologies demonstrate improved accuracy in predicting breast cancer outcomes compared to traditional methods, yet require further validation and integration into clinical practice.
  datacite Tripdatabase 2026 置信度 0.66 artificial intelligencebreast cancerpredictionoutcomestraditional methods
• What are the latest artificial intelligence technologies used in predicting breast cancer outcomes, and how do they compare to traditional methods?
  Artificial intelligence technologies demonstrate improved accuracy in predicting breast cancer outcomes compared to traditional methods, yet require further validation and integration into clinical practice.
  datacite Tripdatabase 2026 置信度 0.66 artificial intelligencebreast cancerpredictionoutcomestraditional methods
• THE TRINITY OF NEXT-GENERATION ADVANCED MATERIAL TECHNOLOGIES
  Description The Trinity of Next-Generation Advanced Material Technologies presents a comprehensive framework for the future of sustainable, intelligent, and biologically integrated material systems. This work explores the convergence of three transformative te…
  datacite NHUT, NHUT 2026 置信度 0.66 MSD MANUAL PROFESSIONALFDAWHONASAESA
• THE TRINITY OF NEXT-GENERATION ADVANCED MATERIAL TECHNOLOGIES
  Description The Trinity of Next-Generation Advanced Material Technologies presents a comprehensive framework for the future of sustainable, intelligent, and biologically integrated material systems. This work explores the convergence of three transformative te…
  datacite NHUT, NHUT 2026 置信度 0.66 MSD MANUAL PROFESSIONALFDAWHONASAESA
• PASSION-derm-ICD-Captions: ICD-10, ICD-11, and Dual-Caption Annotations for the PASSION Dermatology Dataset
  PASSION-ICD-Captions: ICD-10, ICD-11, and Dual-Caption Annotations for the PASSION Dermatology Dataset Description This dataset provides an annotation extension to the PASSION dermatology dataset, enriching the original image collection with standardized diagn…
  datacite Gottfrois, Philippe 2026 置信度 0.66
• PASSION-derm-ICD-Captions: ICD-10, ICD-11, and Dual-Caption Annotations for the PASSION Dermatology Dataset
  PASSION-ICD-Captions: ICD-10, ICD-11, and Dual-Caption Annotations for the PASSION Dermatology Dataset Description This dataset provides an annotation extension to the PASSION dermatology dataset, enriching the original image collection with standardized diagn…
  datacite Gottfrois, Philippe 2026 置信度 0.66
• Artificial Intelligence and Healthcare Applications
  Artificial intelligence (AI) has increasingly become integrated into healthcare systems in recent years, particularly in areas such as diagnosis, treatment planning, clinical decision support systems, medical imaging, drug discovery and patient management. Adv…
  datacite KOTAN, Abdurrahman, KESKİN, Hasan Veysel, ÖZÇELİK, Neslihan 2026 置信度 0.66
• Artificial Intelligence and Healthcare Applications
  Artificial intelligence (AI) has increasingly become integrated into healthcare systems in recent years, particularly in areas such as diagnosis, treatment planning, clinical decision support systems, medical imaging, drug discovery and patient management. Adv…
  datacite KOTAN, Abdurrahman, KESKİN, Hasan Veysel, ÖZÇELİK, Neslihan 2026 置信度 0.66
• "Dataset for Non-Invasive Anemia Screening Using Conjunctiva, Palm, and Nail-Bed Images"
  "This dataset is a comprehensive collection of multimodal data for research on non-invasive anemia screening and laboratory hemoglobin estimation. Data collection was conducted at the Manav Rachna Educational Institutions(MREI), Faridabad, India, during a volu…
  datacite R Girija, Manpreet Kaur, Dogga Pavan Sekhar 2026 置信度 0.66
• ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING IN PRECISION MEDICINE: APPLICATIONS IN MEDICAL BIOTECHNOLOGY
  Background: Artificial intelligence (AI) and machine learning (ML) are increasingly embedded across the precision medicine pipeline, from target identification to bedside decision support, promising more individualised diagnosis and treatment selection than po…
  datacite Siddela Johnson*, Soma Sekhar Pulamarasetti, Kovvada Vandana, Bongu Ramya Priya, Varri Anudeepthi 2026 置信度 0.66
• ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING IN PRECISION MEDICINE: APPLICATIONS IN MEDICAL BIOTECHNOLOGY
  Background: Artificial intelligence (AI) and machine learning (ML) are increasingly embedded across the precision medicine pipeline, from target identification to bedside decision support, promising more individualised diagnosis and treatment selection than po…
  datacite Siddela Johnson*, Soma Sekhar Pulamarasetti, Kovvada Vandana, Bongu Ramya Priya, Varri Anudeepthi 2026 置信度 0.66
• The Speed Illusion: What Healthcare's AI Race Misreads About Credentialing, and the Ninety Days No Algorithm Controls
  The healthcare credentialing software market is projected to grow from approximately $3.8 billion in 2026to more than $10 billion by 2035, driven substantially by vendors marketing artificial intelligence andautomation as a solution to slow provider onboarding…
  datacite Frazier, Marcus J. 2026 置信度 0.66 healthcare credentialingartificial intelligenceautomationprovider onboardingstate medical licensure
• The Speed Illusion: What Healthcare's AI Race Misreads About Credentialing, and the Ninety Days No Algorithm Controls
  The healthcare credentialing software market is projected to grow from approximately $3.8 billion in 2026to more than $10 billion by 2035, driven substantially by vendors marketing artificial intelligence andautomation as a solution to slow provider onboarding…
  datacite Frazier, Marcus J. 2026 置信度 0.66 healthcare credentialingartificial intelligenceautomationprovider onboardingstate medical licensure
• The Speed Illusion: What Healthcare's AI Race Misreads About Credentialing, and the Ninety Days No
  The healthcare credentialing software market is projected to grow from approximately $3.8 billion in 2026 to more than $10 billion by 2035, driven substantially by vendors marketing artificial intelligence and automation as a solution to slow provider onboardi…
  datacite Marcus J. Frazier 2026 置信度 0.66 Health economicsHealth managementAutomation engineeringAutomated software engineeringInsurance studies
• The Speed Illusion: What Healthcare's AI Race Misreads About Credentialing, and the Ninety Days No
  The healthcare credentialing software market is projected to grow from approximately $3.8 billion in 2026 to more than $10 billion by 2035, driven substantially by vendors marketing artificial intelligence and automation as a solution to slow provider onboardi…
  datacite Marcus J. Frazier 2026 置信度 0.66 Health economicsHealth managementAutomation engineeringAutomated software engineeringInsurance studies
• 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
• Smart Smile: Revolutionizing Dentistry With Artificial Intelligence
  Artificial intelligence (AI) has emerged as a transformative technology in various industries, and its potential in dentistry is gaining significant attention. This abstract explores the future prospects of AI in dentistry, highlighting its potential to revolu…
  openalex Ashwini Dhopte, Hiroj Bagde 2023-06-30 置信度 0.72 MedicineTransformative learningVirtual realityRoboticsArtificial intelligence
• Rough sets
  Rough set theory, introduced by Zdzislaw Pawlak in the early 1980s [11, 12], is a new mathematical tool to deal with vagueness and uncertainty. This approach seems to be of fundamental importance to artificial intelligence (AI) and cognitive sciences, especial…
  openalex Zdzisław Pawlak, Jerzy W. Grzymala‐Busse, Roman Słowiński, Wojciech Ziarko 1995-11-01 置信度 0.72 Rough setVaguenessComputer scienceArtificial intelligenceKnowledge acquisition
• Convergence of evolving artificial intelligence and machine learning techniques in precision oncology
  The confluence of new technologies with artificial intelligence (AI) and machine learning (ML) analytical techniques is rapidly advancing the field of precision oncology, promising to improve diagnostic approaches and therapeutic strategies for patients with c…
  openalex Elena Fountzilas, Tillman Pearce, Mehmet A. Baysal, Abhijit Chakraborty 等 2025-01-31 置信度 0.72 Computer scienceWorkflowGeneralizability theoryArtificial intelligencePipeline (software)
• At the Confluence of Artificial Intelligence and Edge Computing in IoT-Based Applications: A Review and New Perspectives
  Given its advantages in low latency, fast response, context-aware services, mobility, and privacy preservation, edge computing has emerged as the key support for intelligent applications and 5G/6G Internet of things (IoT) networks. This technology extends the …
  openalex Amira Bourechak, Ouarda Zedadra, Mohamed Nadjib Kouahla, Antonio Guerrieri 等 2023-02-02 置信度 0.72 Computer scienceEdge computingCloud computingAnalyticsBig data
• A survey on artificial intelligence approaches in supporting frontline workers and decision makers for the COVID-19 pandemic
  openalex Jawad Rasheed, Akhtar Jamıl, Alaa Ali Hameed, Usman Aftab 等 2020-10-10 置信度 0.72 PandemicGlobeContext (archaeology)PaceMultidisciplinary approach
• A review of artificial intelligence applications for antimicrobial resistance
  The wide use and abuse of antibiotics could make antimicrobial resistance (AMR) an increasingly serious issue that threatens global health and imposes an enormous burden on society and the economy. To avoid the crisis of AMR, we have to fundamentally change ou…
  openalex Ji Lv, Senyi Deng, Le Zhang 2020-08-11 置信度 0.72 Antibiotic resistanceRisk analysis (engineering)Computer scienceDomain (mathematical analysis)Artificial intelligence
• Using Artificial Intelligence (Watson for Oncology) for Treatment Recommendations Amongst Chinese Patients with Lung Cancer: Feasibility Study
  BACKGROUND: Artificial intelligence (AI) is developing quickly in the medical field and can benefit both medical staff and patients. The clinical decision support system Watson for Oncology (WFO) is an outstanding representative AI in the medical field, and it…
  openalex Chaoyuan Liu, Xianling Liu, Fang Wu, Mingxuan Xie 等 2018-08-29 置信度 0.72 WatsonLung cancerMedicineCancer treatmentCancer
• Artificial Intelligence: Practical Primer for Clinical Research in Cardiovascular Disease
  openalex Nobuyuki Kagiyama, Sirish Shrestha, Peter Farjo, Partho P. Sengupta 2019-08-27 置信度 0.72 MedicineDiseasePrimer (cosmetics)Internal medicineIntensive care medicine
• Hybrid-augmented intelligence: collaboration and cognition
  The long-term goal of artificial intelligence (AI) is to make machines learn and think like human beings. Due to the high levels of uncertainty and vulnerability in human life and the open-ended nature of problems that humans are facing, no matter how intellig…
  openalex Nanning Zheng, Ziyi Liu, Pengju Ren, Yongqiang Ma 等 2017-02-01 置信度 0.72 Human intelligenceComputer scienceCognitionArtificial intelligenceAugmented reality
• Explainable artificial intelligence for spectroscopy data: a review
  Explainable artificial intelligence (XAI) has gained significant attention in various domains, including natural and medical image analysis. However, its application in spectroscopy remains relatively unexplored. This systematic review aims to fill this gap by…
  openalex Jhonatan Contreras, Thomas Bocklitz 2024-08-01 置信度 0.72 Computer scienceSystematic reviewData scienceArtificial intelligenceMEDLINE
• On Artificial Intelligence and Manipulation
  Abstract The increasing diffusion of novel digital and online sociotechnical systems for arational behavioral influence based on Artificial Intelligence (AI), such as social media, microtargeting advertising, and personalized search algorithms, has brought abo…
  openalex Marcello Ienca 2023-06-20 置信度 0.72 Transparency (behavior)Computer scienceSociotechnical systemEmerging technologiesData science
• Advances of Artificial Intelligence Application in Medical Imaging of Ovarian Cancers
  Ovarian cancer is one of the three most common gynecological cancers in the world, and is regarded as a priority in terms of women's cancer. In the past few years, many researchers have attempted to develop and apply artificial intelligence (AI) techniques to …
  openalex Chen Xu, Xiaofei Huo, Zhe Wu, Jingjing Lu 2021-01-01 置信度 0.72 MedicineOvarian cancerMagnetic resonance imagingMedical imagingMedical physics
• Rise of Artificial Intelligence in Business and Industry
  The ongoing development of business and the most recent advances in artificial intelligence (AI) allow for the many business practices to be improved by the capacity to establish new forms of collaboration, which is a significant competitive advantage. This ra…
  openalex Jasmin Praful Bharadiya, Reji Kurien Thomas, Farhan Ahmed 2023-06-05 置信度 0.72 BusinessBusiness intelligenceCompetitive advantageMarketingNew business development
• Welcoming the JMA Journal' s Call for Manuscripts on Medical Artificial Intelligence
  europepmc Shigeki Matsubara 2024 置信度 0.80 Computer scienceLibrary scienceArtificial intelligence
• Artificial Intelligence, Globalization, and Strategies for Economic Development
  Progress in artificial intelligence and related forms of automation technologies threatens to reverse the gains that developing countries and emerging markets have experienced from integrating into the world economy over the past half century, aggravating pove…
  openalex Anton Korinek, Joseph E. Stiglitz 2021-02-01 置信度 0.72 Developing countryPovertyEmerging marketsGlobalizationEmerging technologies
• Development and validation of the AI attitude scale (AIAS-4): a brief measure of general attitude toward artificial intelligence
  The rapid advancement of artificial intelligence (AI) has generated an increasing demand for tools that can assess public attitudes toward AI. This study proposes the development and the validation of the AI Attitude Scale (AIAS), a concise self-report instrum…
  openalex Simone Grassini 2023-07-24 置信度 0.72 Scale (ratio)Exploratory factor analysisPsychologyInternal consistencyConfirmatory factor analysis
• Future Medical Artificial Intelligence Application Requirements and Expectations of Physicians in German University Hospitals: Web-Based Survey (Preprint)
  BACKGROUND The increasing development of artificial intelligence (AI) systems in medicine driven by researchers and entrepreneurs goes along with enormous expectations for medical care advancement. AI might change the clinical practice of physicians from almos…
  openalex Oliver Maaßen, Sebastian Fritsch, Julia Palm, Saskia Deffge 等 2020-12-19 置信度 0.72 GermanPreprintMedical educationLikert scaleImplementation
• Clinically applicable artificial intelligence system for dental diagnosis with CBCT
  In this study, a novel AI system based on deep learning methods was evaluated to determine its real-time performance of CBCT imaging diagnosis of anatomical landmarks, pathologies, clinical effectiveness, and safety when used by dentists in a clinical setting.…
  openalex Matvey Ezhov, Maxim Gusarev, Maria Golitsyna, J.R. Yates 等 2021-07-22 置信度 0.72 MedicineArtificial intelligencePeriodontitisCone beam computed tomographyDentistry
• Medical Specialists’ Perception About Adoption of Artificial Intelligence in the Healthcare Sector
  Artificial Intelligence (AI) has numerous potential applications in the healthcare sector. These applications vary from its use in quicker disease diagnosis to its assistance for efficiently dealing with pandemic situations. Many countries have successfully la…
  openalex B. Thakkar, S. Vijayakumar Bharathi 2023-02-14 置信度 0.72 Health carePerceptionDeveloping countryExpectancy theoryLife expectancy
• Generative artificial intelligence empowers digital twins in drug discovery and clinical trials
  INTRODUCTION: The concept of Digital Twins (DTs) translated to drug development and clinical trials describes virtual representations of systems of various complexities, ranging from individual cells to entire humans, and enables in silico simulations and expe…
  openalex Maria Bordukova, Nikita Makarov, Raul Rodriguez‐Esteban, Fabian Schmich 等 2023-10-27 置信度 0.72 Generative grammarDrug discoveryComputer sciencePrecision medicineVirtual screening
• Use of artificial intelligence and deep learning in fetal ultrasound imaging
  Deep learning is considered the leading artificial intelligence tool in image analysis in general. Deep-learning algorithms excel at image recognition, which makes them valuable in medical imaging. Obstetric ultrasound has become the gold standard imaging moda…
  openalex Ruben Ramirez Zegarra, T. Ghi 2022-11-27 置信度 0.72 Deep learningMedicineArtificial intelligenceModality (human–computer interaction)Ultrasound
• Artificial Intelligence Alone Will Not Democratise Education: On Educational Inequality, Techno-Solutionism and Inclusive Tools
  Artificial Intelligence (AI) in Education claims to have the potential for building personalised curricula, as well as bringing opportunities for democratising education and creating a renaissance of new ways of teaching and learning. Millions of students are …
  openalex Sahan Bulathwela, María Pérez‐Ortiz, Catherine Holloway, Mutlu Cukurova 等 2024-01-16 置信度 0.72 CurriculumInclusion (mineral)ConversationScale (ratio)Engineering ethics
• Application of Artificial Intelligence in Medical Imaging: Current Status and Future Directions
  ABSTRACT A revolution in medical diagnosis and treatment is being driven by the use of artificial intelligence (AI) in medical imaging. The diagnostic efficacy and accuracy of medical imaging are greatly enhanced by AI technologies, especially deep learning, t…
  openalex Yixin Yang, Lan Ye, Zhanhui Feng 2025-04-01 置信度 0.72 Current (fluid)Computer scienceData scienceArtificial intelligencePsychology
• Artificial Intelligence for Alzheimer’s Disease: Promise or Challenge?
  Decades of experimental and clinical research have contributed to unraveling many mechanisms in the pathogenesis of Alzheimer's disease (AD), but the puzzle is still incomplete. Although we can suppose that there is no complete set of puzzle pieces, the recent…
  openalex Carlo Fabrizio, Andrea Termine, Carlo Caltagirone, Giulia Maria Sancesario 2021-08-14 置信度 0.72 DiseaseCognitive sciencePsychologyMedicinePathology
• Artificial intelligence for medicine: Progress, challenges, and perspectives
  Artificial Intelligence (AI) has transformed how we live and how we think, and it will change how we practice medicine. With multimodal big data, we can develop large medical models that enables what used to unimaginable, such as early cancer detection several…
  openalex Tao Huang, Huiyu Xu, Haitao Wang, Haofan Huang 等 2023-01-01 置信度 0.72 Big dataConstruct (python library)Artificial intelligenceComputer scienceData science
• Artificial Intelligence in Medicine
  AIME) was established in 1986 following a very successful workshop held in Pavia, Italy, the year before.The principal aims of AIME are to foster fundamental and applied research in the application of artificial intelligence (AI) techniques to medical care and…
  openalex 2020-07-03 置信度 0.72 Computer scienceArtificial intelligence
• Reimagining Healthcare: Unleashing the Power of Artificial Intelligence in Medicine
  Artificial intelligence (AI) has opened new medical avenues and revolutionized diagnostic and therapeutic practices, allowing healthcare providers to overcome significant challenges associated with cost, disease management, accessibility, and treatment optimiz…
  openalex Javed Iqbal, Diana Jaimes, Pallavi Makineni, Sachin Subramani 等 2023-09-04 置信度 0.72 MedicineHealth carePower (physics)Artificial intelligenceEconomic growth
• AI-based computer-aided diagnosis (AI-CAD): the latest review to read first
  openalex Hiroshi Fujita 2020-01-02 置信度 0.72 PaceComputer scienceArtificial intelligenceCADBoom
• Metaverse for Healthcare: A Survey on Potential Applications, Challenges and Future Directions
  The rapid progress in digitalization and automation have led to an accelerated growth in healthcare, generating novel models that are creating new channels for rendering treatment at reduced cost. The Metaverse is an emerging technology in the digital space wh…
  openalex Rajeswari Chengoden, Nancy Victor, Thien Huynh‐The, Gokul Yenduri 等 2023-01-01 置信度 0.72 MetaverseComputer scienceHealth careAugmented realityAdaptation (eye)
• Perspectives on the Current and Future State of Artificial Intelligence in Medical Genetics
  Artificial intelligence (AI) is rapidly transforming numerous aspects of daily life, including clinical practice and biomedical research. In light of this rapid transformation, and in the context of medical genetics, we assembled a group of leaders in the fiel…
  openalex Benjamin D. Solomon, Morgan Cheatham, Thales A. C. de Guimarães, Dat Duong 等 2025-05-15 置信度 0.72 Medical geneticsContext (archaeology)Affect (linguistics)PsychologyGenetics
• Application of Artificial Intelligence Algorithms to Estimate the Success Rate in Medically Assisted Procreation
  The aim of this study was to build an Artificial Neural Network (ANN) complemented by a decision tree to predict the chance of live birth after an In Vitro Fertilization (IVF)/Intracytoplasmic Sperm Injection (ICSI) treatment, before the first embryo transfer,…
  openalex Beatriz Brás de Guimarães, Leonardo Martins, José Metello, Fernando Luís-Ferreira 等 2020-10-25 置信度 0.72 Decision treeIn vitro fertilisationIntracytoplasmic sperm injectionConfidence intervalAntral follicle
• Artificial Intelligence and the Dehumanization of Patient Care
  The integration of artificial intelligence (AI) into healthcare is rapidly transforming patient care, offering numerous advantages in diagnostics, efficiency, and clinical decision-making. However, this technological shift raises significant concerns about the…
  openalex Adewunmi Akingbola, Oluwatimilehin Adeleke, Ayotomiwa Idris, Olajumoke Adewole 等 2024-08-01 置信度 0.72 DehumanizationPsychologySociologyAnthropology
• The potential for artificial intelligence to transform healthcare: perspectives from international health leaders
  Artificial intelligence (AI) has the potential to transform care delivery by improving health outcomes, patient safety, and the affordability and accessibility of high-quality care. AI will be critical to building an infrastructure capable of caring for an inc…
  openalex Christina Silcox, Eyal Zimlichmann, Katie Huber, Neil Rowen 等 2024-04-09 置信度 0.72 Health careWorkforcePopulation healthPublic relationsGlobe
• Artificial Intelligence in healthcare: Transformative applications, ethical challenges, and future directions in medical diagnostics and personalized medicine
  The harmonization of Artificial Intelligence (AI) in the healthcare sector has revolutionized medical diagnostics, treatment planning, and patient management. Over the past decade, AI-powered technologies have demonstrated significant potential in improving ac…
  openalex Md Delower Hossain, Md Habibur Rahman, Kazi Md Riaz Hossan 2025-04-30 置信度 0.72 Transformative learningPersonalized medicineHealth carePrecision medicineEngineering ethics
• Artificial Intelligence in Autism Assessment
  The current paper review gives a brief and representative description of the role that artificial intelligence plays nowadays at the assessment of autism. Therefore, many researchers note that artificial intelligence plays a notable role in the early diagnosis…
  openalex Panagiota Anagnostopoulou, Vasiliki Alexandropoulou, Georgia Lorentzou, Andriana Lykothanasi 等 2020-03-27 置信度 0.72 AutismProcess (computing)Intervention (counseling)Computer sciencePsychology
• Artificial intelligence techniques for embryo and oocyte classification
  openalex Claudio Manna, Loris Nanni, Alessandra Lumini, Sebastiana Pappalardo 2012-10-02 置信度 0.72 Artificial intelligenceComputer scienceSelection (genetic algorithm)Pattern recognition (psychology)Reproduction
• Artificial intelligence for teleophthalmology-based diabetic retinopathy screening in a national programme: an economic analysis modelling study
  BACKGROUND: Deep learning is a novel machine learning technique that has been shown to be as effective as human graders in detecting diabetic retinopathy from fundus photographs. We used a cost-minimisation analysis to evaluate the potential savings of two dee…
  openalex Yuchen Xie, Quang D. Nguyen, Haslina Hamzah, Gilbert Lim 等 2020-04-23 置信度 0.72 TriageMedicineArtificial intelligenceDiabetic retinopathyRetinopathy
• Use of artificial intelligence in imaging in rheumatology – current status and future perspectives
  After decades of basic research with many setbacks, artificial intelligence (AI) has recently obtained significant breakthroughs, enabling computer programs to outperform human interpretation of medical images in very specific areas. After this shock wave that…
  openalex Berend C. Stoel 2020-01-01 置信度 0.72 MedicineRheumatologyInternal medicineCurrent (fluid)Medical physics
• Stakeholders’ perspectives on the future of artificial intelligence in radiology: a scoping review
  openalex Ling Yang, Ioana Cezara Ene, Reza Arabi Belaghi, David Koff 等 2021-09-21 置信度 0.72 CINAHLMedicineGrey literatureStakeholderMEDLINE
• Federated Learning Lifecycle Management for Distributed Medical Artificial Intelligence Applications: A Case Study on Post-Transcatheter Aortic Valve Replacement Complication Prediction Solution
  The evolution of artificial intelligence (AI) has unveiled considerable prospects for delivering efficacious solutions in the medical domain. Nevertheless, existing legal frameworks and concerns regarding data privacy associated with medical information impose…
  openalex Min Hyuk Jung, InSeo Song, Kang Yoon Lee 2025-01-03 置信度 0.72 MedicineComplicationIntensive care medicineBusinessCardiology