Artificial Intelligence Medical Compendium

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

Showing 37,341 to 37,350 of 223,469 articles

Elder-Sim: A Psychometrically Validated Platform for Personality-Stable Elderly Digital Twins

medRxiv Mar 30, 2026
Background: LLMs enable patient-facing conversational agents, creating a pathway toward digital twins that capture older adults' lived experiences and behavioral responses across time. A central barrier is personality drift---inconsistent trait expre... read more 
geriatric medicine

Developing a Tiered Machine Learning Alert System for Real-Time Suicide Risk Detection in a Digital Mental Health Setting

medRxiv Mar 30, 2026
The goal of this work was to leverage a large corpus of text based psychotherapy data to create novel machine learning algorithms that can identify suicide risk in asynchronous text therapy. Advances in the field of natural language processing and ma... read more 
psychiatry and clinical psychology

Contrastive Transformer-Driven Discovery of Temporal Hemodynamic Subphenotypes in Cardiac Surgery Patients

medRxiv Mar 30, 2026
Cardiac surgery patients experience rapidly evolving hemodynamics in early post-operative period requiring intensive support. Identifying hemodynamic subphenotypes from these data can inform personalized management. Using 24-hour high-resolution phys... read more 
intensive care and critical care medicine

A Deep Learning-Based Single-View Echocardiographic Analysis for Prediction of Left Ventricular Outflow Tract Obstruction After Transcatheter Aortic Valve Replacement

medRxiv Mar 30, 2026
Aims: Dynamic left ventricular outflow tract obstruction (LVOTO) is a hemodynamically significant complication following transcatheter aortic valve replacement (TAVR) that remains difficult to predict with conventional transthoracic echocardiography ... read more 
cardiovascular medicine

Measuring the Unmeasurable: A Diagnostic Sensor for AI Reasoning Pathology in Sequential Clinical Decision-Making

medRxiv Mar 30, 2026
Large Language Models achieve impressive accuracy on medical benchmarks that present clinical information as complete vignettes, but their behavior under sequential information delivery, the standard mode of real clinical practice, is poorly characte... read more 
health informatics

Deciphering Environmental Health Factors Behind Unknown Etiology of Chronic Kidney Disease in South Asia: Plans for Epidemiologic Study

medRxiv Mar 30, 2026
Chronic kidney disease of unknown etiology (CKDu) has emerged as an important public health challenge, particularly in agricultural communities across Southern Asia and Central America. Our research aims to explore the role of environmental factors i... read more 
nephrology

Artificial Intelligence and Circulating microRNA Signatures for Early Breast Cancer Detection: A Systematic Review and Meta-Analysis

medRxiv Mar 30, 2026
Background: Early breast cancer detection remains central to improving clinical outcomes, yet conventional screening pathways, particularly mammography, have recognized limitations in sensitivity, specificity, and performance in dense breast tissue. ... read more 
oncology

Automated abdominal aortic calcification and trabecular bone score independently predict incident fracture during routine osteoporosis screening.

Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research Mar 30, 2026
Abdominal aortic calcification (AAC), a marker of subclinical cardiovascular disease, has previously shown to be associated with low BMD and fracture. However, it remains unclear whether AAC is associated with trabecular bone score (TBS), a gray-leve... read more 

Predictive accuracy of a perioperative hemodynamic indices-based prediction model for moderate-to-severe acute kidney injury after orthotopic heart transplantation.

Surgery Mar 30, 2026
BACKGROUND: Acute kidney injury is a common complication after orthotopic heart transplantation. Previous models have failed to consider the impact of multiple hemodynamic parameters on prediction performance. The objective of this study was aimed to... read more 

LDDMM stochastic interpolants: an application to domain uncertainty quantification in hemodynamics

arXiv Mar 30, 2026
We introduce a novel conditional stochastic interpolant framework for generative modeling of three-dimensional shapes. The method builds on a recent LDDMM-based registration approach to learn the conditional drift between geometries. By leveraging th... read more 
Machine Learning cs.LG math.NA
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