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• The impact of artificial intelligence in medicine on the future role of the physician
  openalex 2019 置信度 0.90 Artificial Intelligence in Healthcare and EducationArtificial Intelligence in HealthcareAI in cancer detection
• Framing the challenges of artificial intelligence in medicine
  openalex 2018 置信度 0.90 Artificial Intelligence in Healthcare and EducationAI in cancer detectionCOVID-19 diagnosis using AI
• Trust in and Acceptance of Artificial Intelligence Applications in Medicine: Mixed Methods Study
  openalex 2024 置信度 0.90 Artificial Intelligence in Healthcare and EducationElectronic Health Records SystemsMobile Health and mHealth Applications
• Unlocking the Value: Quantifying the Return on Investment of Hospital Artificial Intelligence
  openalex 2024 置信度 0.90 Artificial Intelligence in Healthcare and EducationRadiology practices and educationAcute Ischemic Stroke Management
• Editorial: Data-intensive medicine and healthcare: ethical and social implications in the era of artificial intelligence and automated decision-making
  openalex 2023 置信度 0.90 Healthcare Systems and Public HealthArtificial Intelligence in Healthcare and Education
• Artificial intelligence in medical education and the meaning of interaction with natural intelligence – an interdisciplinary approach
  openalex 2020 置信度 0.90 Sarcoidosis and Beryllium Toxicity ResearchRadiomics and Machine Learning in Medical Imaging
• Artificial Intelligence in Intensive Care Medicine: Toward a ChatGPT/GPT-4 Way?
  openalex 2023 置信度 0.90 Artificial Intelligence in Healthcare and EducationCOVID-19 diagnosis using AISepsis Diagnosis and Treatment
• Erucic Acid: A Possible Therapeutic Agent for Neurodegenerative Diseases
  openalex 2023 置信度 0.90 Biochemical Acid Research StudiesNatural Antidiabetic Agents StudiesCholinesterase and Neurodegenerative Diseases
• Artificial Intelligence in Medical Sensors for Clinical Decisions
  openalex 2021 置信度 0.90 Biosensors and Analytical DetectionIoT and Edge/Fog ComputingSARS-CoV-2 detection and testing
• Advancing equitable and personalized cancer care: Novel applications and priorities of artificial intelligence for fairness and inclusivity in the patient care workflow
  openalex 2023 置信度 0.90 Artificial Intelligence in Healthcare and EducationRadiomics and Machine Learning in Medical ImagingAdvanced Radiotherapy Techniques
• The practical implementation of artificial intelligence technologies in medicine
  openalex 2018 置信度 0.90 Artificial Intelligence in Healthcare and EducationRadiomics and Machine Learning in Medical ImagingAI in cancer detection
• A Preclinical Evaluation of Minnelide as a Therapeutic Agent Against Pancreatic Cancer
  openalex 2012 置信度 0.90 Pancreatic and Hepatic Oncology ResearchHedgehog Signaling Pathway StudiesCancer Mechanisms and Therapy
• Hype vs Reality in the Integration of Artificial Intelligence in Clinical Workflows
  openalex 2025 置信度 0.90 Artificial Intelligence in Healthcare and EducationElectronic Health Records SystemsExplainable Artificial Intelligence (XAI)
• Artificial intelligence for clinical reasoning: the reliability challenge and path to evidence-based practice
  openalex 2025 置信度 0.90 Artificial Intelligence in Healthcare and EducationMachine Learning in HealthcareClinical Reasoning and Diagnostic Skills
• Network Pharmacology-Driven Sustainability: AI and Multi-Omics Synergy for Drug Discovery in Traditional Chinese Medicine
  openalex 2025 置信度 0.90 Computational Drug Discovery MethodsMetabolomics and Mass Spectrometry StudiesMicrobial Natural Products and Biosynthesis
• Chinese Medicine in the Era of Artificial Intelligence: Challenges and Development Prospects
  openalex 2025 置信度 0.90 Traditional Chinese Medicine StudiesPlant-based Medicinal ResearchAcupuncture Treatment Research Studies
• Artificial intelligence in clinical decision support and outcome prediction – applications in stroke
  openalex 2021 置信度 0.90 Acute Ischemic Stroke ManagementCerebrovascular and Carotid Artery DiseasesStroke Rehabilitation and Recovery
• The silent trial - the bridge between bench-to-bedside clinical AI applications
  openalex 2022 置信度 0.90 Artificial Intelligence in Healthcare and EducationMachine Learning in HealthcarePediatric Urology and Nephrology Studies
• Do People Favor Artificial Intelligence Over Physicians? A Survey Among the General Population and Their View on Artificial Intelligence in Medicine
  openalex 2021 置信度 0.90 Artificial Intelligence in Healthcare and EducationEthics and Social Impacts of AIExplainable Artificial Intelligence (XAI)
• ChatGPT and Generative Artificial Intelligence for Medical Education: Potential Impact and Opportunity
  openalex 2023 置信度 0.90 Artificial Intelligence in Healthcare and Education
• Can artificial intelligence improve patient educational material readability? A systematic review and narrative synthesis
  openalex 2024 置信度 0.90 Health Literacy and Information AccessibilityArtificial Intelligence in Healthcare and EducationText Readability and Simplification
• Monitoring performance of clinical artificial intelligence in health care: a scoping review
  openalex 2024 置信度 0.90 Artificial Intelligence in Healthcare and EducationElectronic Health Records SystemsExplainable Artificial Intelligence (XAI)
• How Artificial Intelligence Is Shaping Medical Imaging Technology: A Survey of Innovations and Applications
  openalex 2023 置信度 0.90 Artificial Intelligence in Healthcare and EducationRetinal Imaging and AnalysisCOVID-19 diagnosis using AI
• What should medical students know about artificial intelligence in medicine?
  openalex 2019 置信度 0.90 Artificial Intelligence in Healthcare and EducationCOVID-19 diagnosis using AIArtificial Intelligence in Healthcare
• DECIDE-AI: new reporting guidelines to bridge the development-to-implementation gap in clinical artificial intelligence
  openalex 2021 置信度 0.90 Artificial Intelligence in Healthcare and EducationDelphi Technique in ResearchCardiac, Anesthesia and Surgical Outcomes
• Trust and stakeholder perspectives on the implementation of AI tools in clinical radiology
  openalex 2023 置信度 0.90 Artificial Intelligence in Healthcare and EducationRadiology practices and educationExplainable Artificial Intelligence (XAI)
• Application of Artificial Intelligence in Advanced Training and Education of Emergency Medicine Doctors: A Narrative Review
  openalex 2024 置信度 0.90 Artificial Intelligence in Healthcare and EducationSimulation-Based Education in HealthcareRadiology practices and education
• AI-driven 3D bioprinting for regenerative medicine: From bench to bedside
  openalex 2024 置信度 0.90 3D Printing in Biomedical ResearchCell Image Analysis TechniquesBiomedical and Engineering Education
• A practical guide to implementing artificial intelligence in traditional East Asian medicine research
  openalex 2024 置信度 0.90 Traditional Chinese Medicine StudiesMetabolomics and Mass Spectrometry StudiesBiomedical Text Mining and Ontologies
• Artificial intelligence in reproductive medicine
  openalex 2019 置信度 0.90 Artificial Intelligence in Healthcare and EducationAI in cancer detection
• A Responsible Framework for Applying Artificial Intelligence on Medical Images and Signals at the Point of Care: The PACS-AI Platform
  openalex 2024 置信度 0.90 Artificial Intelligence in Healthcare and EducationRadiomics and Machine Learning in Medical ImagingAdvanced X-ray and CT Imaging
• Algorithmic fairness in artificial intelligence for medicine and healthcare
  openalex 2023 置信度 0.90 Artificial Intelligence in Healthcare and EducationMachine Learning in HealthcareArtificial Intelligence in Healthcare
• Competency-Based Assessments: Leveraging Artificial Intelligence to Predict Subcompetency Content
  openalex 2022 置信度 0.90 Innovations in Medical EducationSurgical Simulation and TrainingSimulation-Based Education in Healthcare
• Gender Differences in the Use of ChatGPT as Generative Artificial Intelligence for Clinical Research and Decision-Making in Occupational Medicine
  openalex 2025 置信度 0.90 Artificial Intelligence in Healthcare and EducationHealthcare cost, quality, practicesHealthcare Systems and Public Health
• Financing Artificial Intelligence in Medical Imaging: Show Me the Money
  openalex 2020 置信度 0.90 Radiomics and Machine Learning in Medical ImagingRadiation Dose and ImagingRadiology practices and education
• Advancing Patient Care with an Intelligent and Personalized Medication Engagement System
  openalex 2024 置信度 0.90 Medication Adherence and CompliancePharmaceutical Practices and Patient OutcomesBlood Pressure and Hypertension Studies
• Artificial Intelligence and Personalized Medicine
  openalex 2019 置信度 0.90 Cell Image Analysis TechniquesComputational Drug Discovery MethodsBioinformatics and Genomic Networks
• Paying for artificial intelligence in medicine
  openalex 2022 置信度 0.90 Healthcare cost, quality, practicesHealth Systems, Economic Evaluations, Quality of LifeArtificial Intelligence in Healthcare and Education
• Key challenges for delivering clinical impact with artificial intelligence
  openalex 2019 置信度 0.90 Artificial Intelligence in Healthcare and EducationMachine Learning in HealthcareExplainable Artificial Intelligence (XAI)
• Medical education trends for future physicians in the era of advanced technology and artificial intelligence: an integrative review
  openalex 2019 置信度 0.90 Innovations in Medical EducationMedical Education and AdmissionsCultural Competency in Health Care
• A Revolution in Medical Education: Are we ready to apply Artificial Intelligence?
  openalex 2022 置信度 0.90 Artificial Intelligence in Healthcare and Education
• The Role of Artificial Intelligence in Healthcare Quality Improvement: A Scoping Review and Critical Appraisal of Operational Efficiency, Patient Outcomes, and Implementation Challenges
  openalex 2025 置信度 0.90 Artificial Intelligence in Healthcare and EducationElectronic Health Records SystemsHealthcare cost, quality, practices
• A framework for validating AI in precision medicine: considerations from the European ITFoC consortium
  openalex 2021 置信度 0.90 Artificial Intelligence in Healthcare and EducationAI in cancer detectionRadiomics and Machine Learning in Medical Imaging
• Artificial intelligence in medicine: mitigating risks and maximizing benefits via quality assurance, quality control, and acceptance testing
  openalex 2024 置信度 0.90 Artificial Intelligence in Healthcare and EducationMeta-analysis and systematic reviewsHealth Systems, Economic Evaluations, Quality of Life
• Combining artificial intelligence and conventional statistics to predict bronchopulmonary dysplasia in very preterm infants using routinely collected clinical variables
  openalex 2024 置信度 0.90 Neonatal Respiratory Health ResearchPreterm Birth and ChorioamnionitisInfant Nutrition and Health
• Artificial intelligence in orthopedic regenerative medicine: from design to clinical translational pathways.
  Orthopedic regenerative medicine (ORM) addresses musculoskeletal disorders in which effective repair requires coordinated structural reconstruction, biological repair, mechanical adaptation, and functional recovery. These processes generate heterogeneous infor…
  europepmc 2026 置信度 0.94 medicinecomputer scienceartificial intelligencedata scienceworkflow
• A simple-to-use clinical nomogram to predict radiation esophagitis among esophageal cancer patients receiving radiotherapy: a retrospective cohort study.
  Background Moderate-to-severe acute radiation esophagitis (MSARE) is a treatment-limiting toxicity of thoracic radiotherapy (RT) in esophageal cancer (EC). Early identification of high-risk patients is essential to individualize supportive care and preserve tr…
  europepmc 2026 置信度 0.94 medicineinternal medicineartificial intelligencemedlineintensive care medicine
• Machine learning in bleeding risk assessment for low-molecular-weight heparin or fondaparinux: a predictive model study.
  Backgroud No universally accepted model exists for predicting bleeding risk in patients receiving low-molecular-weight heparin or fondaparinux. Objective This study leveraged seven machine learning algorithms to build a short-term bleeding risk prediction plat…
  europepmc 2026 置信度 0.94 medicineartificial intelligenceinternal medicinecomputer sciencecs.lg
• Classifying voice disorders for machine learning: a pilot study using the USVAC-C2025 diagnostic framework.
  Introduction Machine learning for voice disorders relies heavily on accurate diagnostic classification, yet progress has been limited by inconsistent labelling and the absence of a reproducible framework suitable for clinical and computational use. This study …
  europepmc 2026 置信度 0.94 medicineartificial intelligencecomputer sciencepsychologymachine learning
• Interpretable Machine Learning Analysis of Factors Associated with Postoperative Hemoglobin Reduction After Total Knee Arthroplasty: A Standardized-Protocol Cohort Study in Non-Transfused Patients.
  Background: Postoperative hemoglobin (Hb) reduction reflects the physiologic extent of perioperative blood loss after total knee arthroplasty (TKA). Whereas previous studies have relied on transfusion as a binary endpoint, transfusion decisions are highly vari…
  europepmc 2026 置信度 0.94 medicinepsychologyinternal medicinebiotechnologysociology
• Leveraging machine learning models to forecast pediatric allergic rhinitis exacerbation risk based on environmental exposure data.
  Objective Acute exacerbations of pediatric allergic rhinitis (AR) are difficult to anticipate, and individualized risk tools integrating clinical and environmental data are lacking. We developed an interpretable machine-learning model to predict 90-day AR exac…
  europepmc 2026 置信度 0.94 medicinecancerartificial intelligencescience policyinternal medicine
• Optimization of hospitalization duration and cost structure for chronic schizophrenia patients in psychiatric hospitals.
  Objective Chronic schizophrenia patients in psychiatric hospitals often have prolonged stays, high insurance resource consumption, and low efficiency. Studies quantifying the joint optimization of payment and operational efficiency are lacking, complicating th…
  europepmc 2026 置信度 0.94 medicineinternal medicinecancerbiological sciencesbiological sciences not elsewhere classified
• Predictive value of bronchoalveolar lavage fluid leukotriene C4 for airway hyperresponsiveness in children with <i>Mycoplasma pneumoniae</i> pneumonia: a machine learning-based study.
  Background Airway hyperresponsiveness (AHR) is a frequent sequela after acute Mycoplasma pneumoniae pneumonia (MPP) in children. This study assessed the association between bronchoalveolar lavage fluid (BALF) leukotriene C4 (LTC4) and MPP, evaluated its predic…
  europepmc 2026 置信度 0.94 medicineinternal medicinecancerbiological sciences not elsewhere classifiedmedline
• Systemic inflammatory biomarkers (NLR, SII, PNI and FPR) combined with CEA for predicting advanced colorectal neoplasms: development and temporal validation of a machine learning model.
  Background Chronic systemic inflammation is closely associated with the initiation and development of colorectal tumors. Biomarkers reflecting inflammatory status may help detect advanced colorectal neoplasms (ACRN), which include advanced adenoma and colorect…
  europepmc 2026 置信度 0.94 medicinebiological sciences not elsewhere classifiedscience policycancerbiotechnology
• Machine learning-enabled prediction of ART pregnancy outcomes: a systematic review and meta-analysis.
  Objective To systematically evaluate the diagnostic accuracy and methodological quality of machine learning (ML) prediction models for pregnancy outcomes after assisted reproductive technology (ART). Methods PubMed, Embase, the Cochrane Library, IEEE Xplore, M…
  europepmc 2026 置信度 0.94 medicinemedlinebiotechnologyscience policymedicine and health sciences
• Electrophysiological Signatures of Sarcopenia: A Systematic Review of sEMG Features, Fatigue Indices and AI-Based Classifiers.
  Age-related sarcopenia involves structural and functional neuromuscular changes. Electrophysiological measures from surface electromyography (sEMG) capture activation dynamics, spectral fatigue indices and motor unit properties that may constitute objective si…
  europepmc 2026 置信度 0.94 medicineartificial intelligencemedlinebrain-computer interfacephysical medicine and rehabilitation
• Interpretable Deep Learning Radiomics for Differentiating Pleomorphic Adenoma and Warthin Tumor.
  Background/aim Preoperative differentiation between pleomorphic adenoma (PA) and Warthin tumor (WT) is essential for optimizing surgical strategies. This study aimed to develop and validate an interpretable machine learning framework integrating clinical data,…
  europepmc 2026 置信度 0.94 medicineartificial intelligencemachine learningmedical physicscomputer science
• A machine learning-based screening tool for classifying post-traumatic stress disorder in firefighters: Firefighter Latent Risk Evaluation (FLARE).
  Background The prevalence of post-traumatic stress disorder (PTSD) among South Korean firefighters is likely to be under-reported because of stigma and defensive attitudes. We aimed to develop a machine learning-based classification model, named Firefighter PT…
  europepmc 2026 置信度 0.94 medicinebiological sciences not elsewhere classifiedbiotechnologyscience policyinternal medicine
• Construction and validation of a machine learning-based model for predicting pneumonia risk in patients with hemorrhagic stroke.
  Objective This study aimed to develop and validate a distinct, stable, and interpretable predictive model using machine learning techniques to identify individuals at high risk of pneumonia early after admission. The goal was to provide a potential quantitativ…
  europepmc 2026 置信度 0.94 medicineartificial intelligencebiological sciences not elsewhere classifiedcomputer scienceinternal medicine
• Machine learning-based prediction of bronchiolitis in children under two years: a multicenter study within a single metropolitan area.
  Background Bronchiolitis is a leading cause of hospitalization in infants, yet early and accurate risk prediction remains a clinical challenge. Traditional models often lack the complexity to capture nonlinear interactions or the transparency required for clin…
  europepmc 2026 置信度 0.94 medicineartificial intelligencecomputer sciencebiological sciences not elsewhere classifiedbiotechnology
• Advancing In-Context Learning for Efficient and Stable Medical Report Generation.
  Vision-language models (VLMs) have shown strong generalization across multimodal tasks, but adapting them to medical report generation (MRG) often demands extensive paired image-text data that are limited due to data privacy and annotation cost. In-context lea…
  europepmc 2026 置信度 0.94 cs.aicomputer and information sciencescs.lgcomputer scienceartificial intelligence
• Development and validation of a machine learning model for colorectal cancer status classification using NHANES data: A cross-sectional study.
  Colorectal cancer (CRC) is a leading cause of cancer-related morbidity and mortality worldwide. Tools based on routinely collected variables may help identify prevalent CRC status and support clinical evaluation. Traditional approaches often rely on limited pr…
  europepmc 2026 置信度 0.94 medicineartificial intelligencebiological sciences not elsewhere classifiedinternal medicinescience policy
• Development and External Validation of an Explainable Machine-Learning Model for Predicting Postoperative Pulmonary Complications in Older Adults Undergoing Degenerative Spine Surgery.
  Background : Postoperative pulmonary complications (PPCs) remain common in older adults undergoing degenerative spine surgery and are associated with adverse outcomes. We aimed to develop and externally validate an explainable machine-learning model using rout…
  europepmc 2026 置信度 0.94 medicinebiotechnologyartificial intelligenceinternal medicinemedline
• Development and validation of a machine learning model for sperm DNA fragmentation rate in infertile men: a multicenter retrospective study.
  Background The sperm DNA fragmentation index (DFI) provides important reference for evaluating male fertility and assisted reproductive outcomes, and its degree of damage is influenced by multiple factors. Our study aims to develop a machine learning-based pre…
  europepmc 2026 置信度 0.94 medicinecomputer scienceartificial intelligencebrain-computer interfacemedline
• Integrated Intratumoral and Peritumoral Ultrasound Radiomics Models for Breast Nodule Diagnosis Using Machine Learning.
  Aims/background The differentiation of benign and malignant breast nodules, particularly those categorized as Breast Imaging Reporting and Data System (BI-RADS) 3-4, remains a clinical challenge due to the subjectivity and operator dependence of conventional u…
  europepmc 2026 置信度 0.94 medicineartificial intelligenceinternal medicinescience policybiological sciences not elsewhere classified
• Perioperative prediction of adnexal malignancy by an interpretable machine learning model for guiding ovarian preservation in premenopausal endometrial cancer.
  Background Ovarian preservation in premenopausal patients with endometrial cancer remains challenging due to the potential presence of concurrent adnexal malignancy. To support surgical decision-making, we developed an interpretable machine learning model for …
  europepmc 2026 置信度 0.94 medicineartificial intelligencebiotechnologybiological sciences not elsewhere classifiedcomputer science
• Analysis of health anxiety trajectories in rabies exposure patients based on machine learning.
  Objective To identify the dynamic evolution trajectory of health anxiety in patients with initial rabies exposure and to conduct predictive analysis of health anxiety trajectories using machine learning algorithms. Methods A total of 548 rabies exposure patien…
  europepmc 2026 置信度 0.94 medicinemedlinepsychologybiotechnologyscience policy
• Prediction and mechanistic insights into drug-induced reproductive toxicity through integrated machine learning, FAERS-based signal comparison, and network toxicology analyses.
  Drug-induced reproductive toxicity is a critical concern in drug safety evaluation, whereas conventional assessment methods are often constrained by high costs and long experimental cycles. In this study, a machine learning-based predictive model for reproduct…
  europepmc 2026 置信度 0.94 medicinepharmacologydrug discoverycomputer sciencebiotechnology
• Using Machine Learning to Predict Breast Cancer-Related Lymphedema Following Axillary Lymph Node Dissection.
  Background Breast cancer-related lymphedema (BCRL) is a common and debilitating sequela of axillary lymph node dissection (ALND). Although machine learning (ML)-based prediction models have been proposed, few focus exclusively on patients undergoing ALND, and …
  europepmc 2026 置信度 0.94 medicineartificial intelligencecancerinternal medicinebiotechnology
• Machine Learning Applications for Opioid Use Management in Chronic Cancer Pain: A Systematic Scoping Review.
  Chronic pain remains a critical clinical issue worldwide, with adverse effects on the quality of life of oncology patients. Meanwhile, the overuse of opioids to treat or alleviate chronic cancer pain has contributed to a global opioid crisis. The increasing ac…
  europepmc 2026 置信度 0.94 medicinemedlinesystematic reviewphysical medicine and rehabilitationinternal medicine
• Global trends and hotspots of machine learning in the diagnosis of prostate cancer: a bibliometric analysis from 1997 to 2024
  Purpose Prostate cancer (PCa) diagnosis has advanced with the integration of machine learning (ML). This study analyzes global trends in ML-based PCa diagnosis research using bibliometric methods. Methods A systematic search was conducted in the Web of Science…
  europepmc 2026 置信度 0.94 medicinescience policyartificial intelligencebiological sciences not elsewhere classifiedmedline
• Development and validation of an interpretable machine learning model for predicting systemic inflammatory response syndrome after percutaneous nephrolithotomy: A multicenter study.
  Background Systemic inflammatory response syndrome (SIRS) is a common and potentially reversible early infectious complication after percutaneous nephrolithotomy (PCNL). Accurate perioperative risk stratification may enable timely intervention; however, existi…
  europepmc 2026 置信度 0.94 medicineartificial intelligencescience policybiological sciences not elsewhere classifiedmedline
• Machine learning models in post-stroke aphasia: a scoping review.
  Objective To systematically review the literature on the application of machine learning models in post-stroke aphasia, and to provide a reference for the construction and clinical application of related models. Methods Based on scoping review methodology, we …
  europepmc 2026 置信度 0.94 medicinescience policymedical physicsmedlineartificial intelligence
• Predicting Outcomes of Traumatic Brain Injury Using Machine Learning Models Among Patients at Kilimanjaro Christian Medical Centre, Tanzania: A Registry-Based Cohort Study.
  Background Traumatic brain injury (TBI) remains a major global health burden, disproportionately affecting low- and middle-income countries (LMICs) where access to neurocritical care is limited. Accurate and context-appropriate prognostic models are crucial to…
  europepmc 2026 置信度 0.94 medicineartificial intelligencecomputer sciencebiological sciences not elsewhere classifiedmachine learning
• A Web-Based Machine Learning Calculator for Predicting Preoperative Deep Vein Thrombosis in Elderly Hip Fractures Patients.
  Purpose Hip fractures are often associated with deep vein thrombosis (DVT). This study aimed to develop machine learning models to predict preoperative DVT risk using basic clinical data from elderly patients with hip fractures. Methods Clinical data were retr…
  europepmc 2026 置信度 0.94 medicineinternal medicinecomputer scienceartificial intelligencemedline
• Development and temporal validation of a machine learning model to estimate total MoCA scores from telephone-based items in patients with mild cognitive impairment.
  Background Periodic cognitive monitoring for mild cognitive impairment (MCI) is crucial. However, standard assessments like the Montreal Cognitive Assessment (MoCA) require in-person administration due to visual-based items, creating significant accessibility …
  europepmc 2026 置信度 0.94 medicineartificial intelligencecs.lgbiological sciences not elsewhere classifiedmachine learning
• EEG-Based Seizure Prediction Approaches Within Clinically Relevant Pre-seizure Windows Using Scalp EEG Datasets: A Systematic Review.
  This systematic review synthesized evidence on EEG-based seizure prediction within clinically relevant pre-seizure windows, focusing on deep learning and machine learning models evaluated on public datasets. The review aimed to summarize predictive performance…
  europepmc 2026 置信度 0.94 medicinemedlineartificial intelligencebrain-computer interfacesystematic review
• Development and validation of a routine blood test-based model to predict in-hospital postoperative pulmonary infection in older patients with hip fracture.
  Background Postoperative pulmonary infection (PPI) is a common and serious complication in older adults undergoing hip fracture surgery, leading to prolonged hospitalization, increased costs, and increased mortality. However, simple and reliable preoperative p…
  europepmc 2026 置信度 0.94 medicineinternal medicinebiotechnologybiological sciences not elsewhere classifiedcancer
• Explainable machine learning for early prediction and anatomical classification of pulmonary embolism in the emergency department.
  Background Pulmonary thromboembolism (PTE) is a life‑threatening condition that requires prompt and accurate evaluation in the emergency department (ED). Standardized clinical scoring systems, including the Wells and revised Geneva scores, form the cornerstone…
  europepmc 2026 置信度 0.94 medicinecomputer scienceartificial intelligencecs.aiinternal medicine
• Machine learning-based integrative analysis identifies CXCL13-driven tertiary lymphoid structures as favorable immune and prognostic features in osteosarcoma.
  Background Osteosarcoma, an aggressive bone malignancy with limited response to immunotherapy, remains a major clinical challenge. Tertiary lymphoid structures (TLS), as organized ectopic lymphoid aggregates, play a pivotal role in modulating antitumor immune …
  europepmc 2026 置信度 0.94 medicinebiologybiological sciences not elsewhere classifiedcancergenetics
• Machine learning-driven risk prediction for post-hospitalization diabetes case management: Integrating clinical and social determinants of health.
  Objective Patients hospitalized for diabetes-related conditions face elevated risks of emergency department (ED) visits post-discharge, driven by both clinical factors and social determinants of health (SDoH). This study aimed to develop and validate predictiv…
  europepmc 2026 置信度 0.94 medicinescience policyinternal medicineartificial intelligencecomputer science
• Machine Learning-Based Predictive Model for Grade 3 Primary Graft Dysfunction Following Lung Transplantation: A Retrospective Cohort Study.
  Background This study aimed to identify key predictors for Grade 3 Primary Graft Dysfunction (PGD) after lung transplantation. Machine learning (ML) algorithm models were constructed for early clinical identification of high-risk PGD patients based on these pr…
  europepmc 2026 置信度 0.94 medicineinternal medicineintensive care medicineenvironmental sciencebiological sciences not elsewhere classified
• Machine Learning Prediction of Pediatric In-Hospital Survival Before Extracorporeal Membrane Oxygenation Cannulation.
  Identifying suitable candidates for extracorporeal membrane oxygenation (ECMO) is still challenging. Our aim is to leverage machine learning (ML) to predict survival and identify critical variables influencing outcomes in pediatric patients requiring venovenou…
  europepmc 2026 置信度 0.94 medicineartificial intelligenceintensive care medicinemedlinescience policy
• Development and validation of machine learning diagnostic models integrating clinical, CT, and laboratory features to differentiate lung cancer from pulmonary tuberculosis in patients with solitary pulmonary nodules: a single-center retrospective study.
  Background Differentiating lung cancer from pulmonary tuberculosis in patients with solitary pulmonary nodules (SPNs) remains clinically challenging, particularly in tuberculosis-endemic settings, because these two conditions may show overlapping computed tomo…
  europepmc 2026 置信度 0.94 medicinebiological sciences not elsewhere classifiedbiotechnologyinternal medicinecancer
• Machine learning to identify novel bleeding and residual thromboembolic risks in patients on anticoagulation.
  Balancing thromboembolic prevention against bleeding risk remains a key challenge during oral anticoagulant (OAC) therapy. CHA₂DS₂-VASc cannot predict residual thromboembolic risk, and HAS-BLED has insufficient predictive ability for direct oral anticoagulants…
  europepmc 2026 置信度 0.94 medicineartificial intelligencecomputer scienceinternal medicinebiotechnology
• Development and validation of a deep neural network for predicting coronary heart disease in hypertensive patients using 24-hour ambulatory blood pressure monitoring: a retrospective study.
  Background Coronary heart disease (CHD) remains a leading cause of morbidity and mortality worldwide. Early identification of high-risk hypertensive patients is crucial for preventing cardiovascular events. While traditional risk scores rely on static clinical…
  europepmc 2026 置信度 0.94 medicinecomputer scienceartificial intelligenceinternal medicinecs.lg
• Identification and Validation of an Explainable Predictive Model For Heart Failure in Patients With Hypertension.
  Background Heart failure (HF) is a heterogeneous syndrome affecting over 60 million individuals globally. Patients with hypertension are particularly susceptible to developing HF. Therefore, timely identification and predictive assessment of HF risk have signi…
  europepmc 2026 置信度 0.94 medicineartificial intelligencecomputer sciencemachine learningcs.lg
• Integrated multi-omics and functional analyses reveal a GDCA-TGR5-mediated immunometabolic signature in anorexia nervosa.
  Background Anorexia nervosa (AN) is frequently accompanied by metabolic disturbances and immune dysregulation, yet its peripheral molecular mechanisms and therapeutic targets remain poorly understood. This study integrates multi-omics analyses with experimenta…
  europepmc 2026 置信度 0.94 medicinebiologygeneticsbiological sciences not elsewhere classifiedbiotechnology
• AI-driven cardiovascular risk prediction in patients with diabetes: bridging algorithmic innovation to equitable clinical application.
  Machine learning models hold promise to revolutionize cardiovascular disease (CVD) prediction in patients with type 2 diabetes, with algorithms such as neural networks demonstrating superior discriminative performance in internal validations. However, a system…
  europepmc 2026 置信度 0.94 medicineartificial intelligencecomputer sciencemachine learningcs.lg
• Performance of predictive AI-based clinical decision support systems across clinical domains: A systematic review and meta-analysis.
  Despite advances in deep learning and transformer architectures, prior reviews have focused narrowly on traditional clinical decision support systems (CDSS) or single medical domains, leaving significant gaps in understanding contemporary AI-driven predictive …
  europepmc 2026 置信度 0.94 medicinecomputer sciencemedlineartificial intelligencemedicine and health sciences
• Surgical outcomes and risk factors identification for rhegmatogenous retinal detachment repair by pneumatic retinopexy using pure air.
  Objective This study aimed to evaluate the clinical outcomes and identify risk factors for failure of pneumatic retinopexy (PR) using pure air. Methods A retrospective analysis was conducted on 199 eyes from 199 patients with uncomplicated RRD who underwent PR…
  europepmc 2026 置信度 0.94 medicineinternal medicinemedlinebiological sciences not elsewhere classifiedscience policy
• Developing and Validating a Machine Learning Model to Predict Brain Injury in Preterm Infants Using Multisource Data from the Early Postnatal Period.
  Background Moderate-to-severe preterm brain injury (PBI), including intraventricular hemorrhage (IVH) and periventricular leukomalacia (PVL), remains an important cause of adverse neurodevelopmental outcomes in preterm infants. Early risk stratification using …
  europepmc 2026 置信度 0.94 medicinemedlineinternal medicineartificial intelligenceintensive care medicine
• Classification of malignant/benign groups in lung cancer by machine learning and investigation of feature significance of parameters.
  Objectives This study aimed to apply machine learning (ML) models to enhance lung cancer (LC) classification, distinguishing malignant from benign tumors, using data from 73 patients. Methods The dataset included PET/CT biomarkers and demographic factors, with…
  europepmc 2026 置信度 0.94 medicineartificial intelligencecs.lgbiological sciences not elsewhere classifiedcomputer science
• Enhanced Survival Prediction in Head and Neck Cancer Using Convolutional Block Attention and Multimodal Data Fusion
  Accurate survival prediction in head and neck cancer (HNC) is essential for guiding clinical decision-making and optimizing treatment strategies. Traditional models, such as Cox proportional hazards, have been widely used but are limited in their ability to ha…
  datacite Farooq, Aiman, Sharma, Utkarsh, Mishra, Deepak 2024 置信度 0.77 Computer Vision and Pattern Recognition (cs.CV)FOS: Computer and information sciencesFOS: Computer and information sciences
• MeSH2Wikidata: A set of tools for the interaction between MeSH keywords, OBO Foundry, and Wikidata for enriching biomedical knowledge
  The work consists of tools for the interaction between Wikidata and OBO Foundry and source codes for the use of MeSH keywords of PubMed publications for the enrichment of biomedical knowledge in Wikidata. This work is funded by the Adapting Wikidata to support…
  datacite Turki, Houcemeddine, Chebil, Khalil, Dossou, Bonaventure, Emezue, Chris 等 2023 置信度 0.76 Knowledge and information managementInformation modelling, management and ontologiesInformation systems organisation and managementInformation retrieval and web searchData mining and knowledge discovery
• Slicing Through Bias: Explaining Performance Gaps in Medical Image Analysis using Slice Discovery Methods
  Machine learning models have achieved high overall accuracy in medical image analysis. However, performance disparities on specific patient groups pose challenges to their clinical utility, safety, and fairness. This can affect known patient groups - such as t…
  datacite Olesen, Vincent, Weng, Nina, Feragen, Aasa, Petersen, Eike 2024 置信度 0.79 Machine Learning (cs.LG)Artificial Intelligence (cs.AI)Computer Vision and Pattern Recognition (cs.CV)Computers and Society (cs.CY)FOS: Computer and information sciences
• Grand Challenge: Head and Neck Tumor Segmentation for MR-Guided Applications (HNTS-MRG) 2024
  The Head and Neck Tumor Segmentation for MR-Guided Applications (HNTS-MRG) 2024 Grand Challenge is a 2024 MICCAI Grand Challenge. PI Fuller presented the keynote virtually and in-person on 2024-10-17T0900, describing the relevant issues in biomedical image seg…
  datacite Fuller, Clifton D. 2024 置信度 0.79 Radiology and organ imagingBiomedical imagingComputational imagingArtificial intelligence not elsewhere classifiedMachine learning not elsewhere classified
• The Phantom EEG Dataset
  When you use this dataset, please cite this paper. More information about this dataset could also be found in this paper. Xu, X., Wang, B., Xiao, B., Niu, Y., Wang, Y., Wu, X., & Chen, J. (2024). Beware of Overestimated Decoding Performance Arising from Tempor…
  datacite Anonymous 2024 置信度 0.72
• The Phantom EEG Dataset
  When you use this dataset, please cite this paper. More information about this dataset could also be found in this paper. Xu, X., Wang, B., Xiao, B., Niu, Y., Wang, Y., Wu, X., & Chen, J. (2024). Beware of Overestimated Decoding Performance Arising from Tempor…
  datacite Anonymous 2024 置信度 0.72
• The Phantom EEG Dataset
  New version on https://zenodo.org/records/13341214. When you use this dataset, please cite this paper. More information about this dataset could also be found in this paper. Xu, X., Wang, B., Xiao, B., Niu, Y., Wang, Y., Wu, X., & Chen, J. (2024). Beware of Ov…
  datacite Anonymous 2024 置信度 0.72