Artificial Intelligence Medical Compendium

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

Showing 17,231 to 17,240 of 213,726 articles

Elevated serum apolipoprotein B and lipoprotein remodelling distinguish adults with HLH from HLH mimics and controls

medRxiv May 17, 2026
Haemophagocytic lymphohistiocytosis (HLH) is a rare, life-threatening hyperinflammatory syndrome characterised by uncontrolled immune activation. Reduced high- and low-density lipoprotein cholesterol and hypertriglyceridaemia are reported in HLH, sug... read more 
intensive care and critical care medicine

Pixel-Based Skin Tone Estimation on Dermoscopy: A Dual-Rater MST Benchmark and Feasibility Study

medRxiv May 17, 2026
Skin-tone labels are absent from public dermoscopy benchmarks such as the International Skin Imaging Collaboration (ISIC), making it impossible to audit whether clinical AI performs equitably across skin tones. While several recent works estimate ski... read more 
health informatics

Deep learning-based recognition model for surgical phases of minimally invasive hysterectomy: A multicentre retrospective study

medRxiv May 17, 2026
Objective: To develop and validate a robust deep-learning model capable of fine-grained phase recognition in total hysterectomy, particularly the complex periuterine dissection phase. Design: Multicentre retrospective observational study. Setting: Ja... read more 
obstetrics and gynecology

Risk of apnoea-related cardiorespiratory instability in preterm infants is modulated by clinical, demographic and dynamic indicators

medRxiv May 17, 2026
Background: Apnoea of prematurity is common and may cause desaturation and/or bradycardia. There is marked variability in infants cardiorespiratory responses to apnoea, despite standardised clinical thresholds. Factors influencing apnoea-related card... read more 
pediatrics

Acute-Phase Machine Learning Prediction of 12-Month Aphasia and Discourse Recovery

medRxiv May 17, 2026
Approximately 30-40% of stroke patients retain aphasia at 12 months. Early forecasting may guide rehabilitation and prognostic enrichment of clinical trials, yet machine learning (ML) prediction of language recovery has typically relied on chronic-ph... read more 
neurology

A Longitudinal Clinical Foundation Model on Nationwide Veteran Health Trajectories

medRxiv May 17, 2026
We present VA-LLM, a 1.62-billion-parameter autoregressive transformer pre-trained from scratch on 1.74 trillion tokens of clinical text spanning 22 years of care for 13.8 million patients in the Veterans Health Administration, with mortality outcome... read more 
health informatics

TogoMCP: Natural Language Querying of Life-Science Knowledge Graphs via Schema-Guided LLMs and the Model Context Protocol

bioRxiv May 17, 2026
Querying the RDF Portal knowledge graph maintained by DBCLS, which aggregates approximately 60 life-science databases, requires proficiency in both SPARQL and database-specific RDF schemas, placing this resource beyond the reach of most researchers. ... read more 
bioinformatics

Learning from Drops: AI-Guided Integration of Liquid Biopsy Features in Cancer Studies

bioRxiv May 17, 2026
Cancer is a major global health issue with rising incidence and mortality. Early detection, tumor characterization, and disease surveillance are crucial for timely and effective treatment, ultimately reducing mortality rates. Liquid biopsy (LB) has e... read more 
bioinformatics

Overweight status drives early tumor microenvironment reprogramming in pancreatic ductal adenocarcinoma: a cell-type-resolved Bayesian hierarchical modeling and interactome analysis

bioRxiv May 17, 2026
Background: Obesity significantly increases the risk of prognosis and clinical outcomes in pancreatic ductal adenocarcinoma (PDAC). While research on the interactions between obesity and the tumor microenvironment (TME) is mostly confined to a few in... read more 
cancer biology

Drug design using unique conformations to preferentially target a specific site on collagen-bound MMP1

bioRxiv May 17, 2026
Precise site-specific drug design remains a challenge in structure based drug discovery. Most existing approaches screen for ligands to target binding pockets on a protein surface based on static structures obtained from techniques such as X ray, NMR... read more 
biophysics
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