Artificial Intelligence Medical Compendium

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

Showing 45,061 to 45,070 of 224,055 articles

Conversational Artificial Intelligence Agents-Enabled Dissection of RTK-RAS and MAPK Pathway Dependencies in Gemcitabine-Treated Pancreatic Ductal Adenocarcinoma (PDAC)

medRxiv Mar 3, 2026
Pancreatic ductal adenocarcinoma (PDAC) is an aggressive malignancy characterized by profound molecular heterogeneity and inconsistent responses to gemcitabine-based therapy. Although KRAS mutations are nearly ubiquitous, the broader RTK-RAS and MAPK... read more 
oncology

Governing Trust in Health AI: A Qualitative Study of Cybersecurity Professionals Perspectives

medRxiv Mar 3, 2026
Background: Artificial intelligence is increasingly embedded in healthcare delivery. Its legitimacy depends on institutional governance, not technical performance alone. Prior research has centered on clinicians and patients. Less attention has been ... read more 
health informatics

Aging Out of the Blue: Estimating and Calibrating Region-specific Epigenetic Clocks for a Blue Zone via SuperLearner

medRxiv Mar 3, 2026
Epigenetic clocks estimate biological age from DNA methylation patterns at CpG sites, providing robust predictions of mortality and morbidity risk. "Blue zones"-regions of exceptional longevity-offer a unique opportunity to investigate how biological... read more 
epidemiology

CausalFund: Causality-Inspired Domain Generalization in Retinal Fundus Imaging for Low-Resource Screening

medRxiv Mar 3, 2026
Early screening for glaucoma and diabetic retinopathy (DR) is critical to prevent irreversible vision loss, yet remains inaccessible to many underserved populations. However, AI models trained on hospital-grade fundus images often generalize poorly t... read more 
ophthalmology

Exposomics for childhood asthma

medRxiv Mar 3, 2026
Identification of early interventions to reduce/eliminate asthma - the most common chronic disease among children - could significantly reduce burden on the healthcare system. Large-scale asthma Exposome-Wide Association Studies (ExWAS) could identif... read more 
allergy and immunology

Bias in respiratory diagnoses by Large Language Models (LLMs) in Low Middle Income Countries (LMICs)

medRxiv Mar 3, 2026
Introduction Clinicians and patients are likely to increasingly use Large Language Models (LLMs) for diagnostic support. Use of LLMs mostly created in North America and Europe, could lead to a High-Income Country bias if used in Low- and Middle-Incom... read more 
health informatics

Conversational artificial intelligence HeAlth supporT in Atrial Fibrillation Self-Management (CHAT-AF-S): rationale and randomised controlled trial design

medRxiv Mar 3, 2026
Introduction: Atrial fibrillation (AF), a common arrhythmia, is associated with impaired quality of life (QoL) and increased stroke risk and mortality. Clinical guidelines recommend leveraging digital technologies to support patient education and AF ... read more 
cardiovascular medicine

Monte Carlo Committee Simulation with Large Language Models for Predicting Drug Reimbursement Recommendations and Conditions: A Novel Neurosymbolic AI Approach

medRxiv Mar 3, 2026
Background: Health technology assessment (HTA) agencies issue reimbursement recommendations that determine patient access to new therapies. Predicting these outcomes would enable sponsors to optimize market access strategies and health systems to ant... read more 
health policy

Design and Rationale of the My Heart Counts Cardiovascular Health Study: a Large-Scale, Fully Digital Biobank, and Randomized Trial of Large Language Model-Driven Coaching of Physical Activity

medRxiv Mar 3, 2026
Background: Cardiovascular disease remains the leading cause of global morbidity and mortality. The original My Heart Counts smartphone application demonstrated the feasibility of large-scale, fully digital recruitment and trial conduct, but was limi... read more 
cardiovascular medicine

Longitudinal Impact of NLP-Augmented Clinical Decision Support on Cognitive Decline Detection in German Geriatric Primary Care: A Dynamic Panel Data Analysis Using System GMM Estimation

medRxiv Mar 3, 2026
Background: Cognitive decline and dementia represent major public health challenges in aging populations. Natural language processing (NLP)-augmented clinical decision support systems (CDSS) offer promising tools for early detection, yet causal evide... read more 
health informatics
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