Artificial Intelligence Medical Compendium

Explore the latest research on artificial intelligence and machine learning in medicine.

Showing 19,051 to 19,060 of 214,800 articles

Molecular Methods to Detect Vibrio cholerae and Associated Bacteriophages among Diarrheal Patients in Bangladesh

medRxiv May 13, 2026
Molecular diagnostics to detect Vibrio cholerae (Vc) may be negatively impacted by pathogen-specific lytic bacteriophage (phage) predation. To address this problem, phage detection as a proxy for pathogen detection has been proposed. However, efforts... read more 
infectious diseases

Retrieval-Augmented Claude Opus 4.7 and GPT-5.5 Surpass Human Performance on the Nuclear Cardiology Board Preparation Exam (and Claude Drafts a Paper About it)

medRxiv May 13, 2026
Background - Previous studies evaluated large language model (LLM) performance on the American Society of Nuclear Cardiology (ASNC) Board Preparation Exam. Without domain-specific context, the best model (GPT-4o) achieved 63.1%, below the estimated 6... read more 
radiology and imaging

Contactless ultrasound chest vibration mapping discriminates respiratory and cardiac patients from healthy individuals.

medRxiv May 13, 2026
Contactless assessment of cardiopulmonary function remains an unmet need, with current approaches relying either on subjective clinical examination or on resource intensive imaging. We evaluated a novel multipoint airborne ultrasound surface motion c... read more 
radiology and imaging

Estimation of Physiological Metrics from Resting ECGs Using Deep Learning in the UK Biobank, Including submaximal exercise derived VO2max, Body Fat Percentage, and Grip Strength

medRxiv May 13, 2026
Maximal oxygen consumption VO2max is the gold standard for cardiorespiratory fitness but requires resource-intensive physical testing. Recent reports show that machine learning models can extract additional information from ECGs, yet the potential of... read more 
cardiovascular medicine

Benchmarking foundation models for improving confounding control in target trial emulation

medRxiv May 13, 2026
Machine learning models for causal inference aim to adjust for confounding factors that are associated with both an exposure and an outcome, creating a spurious biased association. But, these methods are rarely empirically evaluated to assess their s... read more 
epidemiology

Prediction of Pivot Shift Grade Using In-Vivo Ultrasound Bone Tracking During Sit-Stand-Sit: A Machine Learning Feasibility Study

medRxiv May 13, 2026
Background: The pivot shift (PS) test is the most specific clinical examination for anterolateral rotational instability in ACL deficient knees, yet grading remains subjective, as evidenced by poor interobserver reliability, particularly for Grade 2.... read more 
orthopedics

A Blood-Based Transcriptomic Signature for PTSD Classification Using Machine Learning

medRxiv May 13, 2026
Post-traumatic stress disorder (PTSD) remains a significant psychiatric burden; despite growing biomarker research, no blood-based molecular diagnostic tool has been clinically validated for routine use. In this study, we developed a machine learning... read more 
health informatics

SIGNAL: A Scalable, Real-World Model for Rapid Intraoperative Molecular Classification of Gliomas Using Stimulated Raman Histology

medRxiv May 13, 2026
Background: Previous machine learning models to intraoperatively predict the molecular status of gliomas using stimulated Raman histology (SRH), such as DeepGlioma, have achieved high performance (91.5% accuracy) on curated datasets. However, when us... read more 
oncology

Structured large language model extraction of clinical factors from electronic health record text supports scalable psychiatric severity prediction

medRxiv May 13, 2026
Background: Mental health systems face escalating demand that exceeds clinician capacity, making accurate severity-based triage a critical bottleneck. Severity assessment guides treatment intensity, resource allocation, and risk management, yet most ... read more 
psychiatry and clinical psychology

Improving machine learning and deep learning models for 30-day ICU readmission prediction using Ensemble Bayesian Model Averaging

medRxiv May 13, 2026
Intensive Care Unit (ICU) readmissions are associated with adverse clinical outcomes and increased healthcare costs. Although existing models for predicting 30-day ICU readmission show high predictive performance, they fail to account for model uncer... read more 
intensive care and critical care medicine
Popular Topics
Recent Journals