Artificial Intelligence Medical Compendium

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

Showing 25,161 to 25,170 of 217,472 articles

A Hybrid Framework for Accurate Melanoma Diagnosis: Leveraging Generative AI with Enhanced CNN+ Architectures

medRxiv Apr 28, 2026
Melanocytes become cancerous, forming tumors that may invade and destroy the surrounding tissues. When melanocytes acquire invasive characteristics, the anchored melanoma begins to damage the normal cells. Therefore, early intervention and diagnosis ... read more 
dermatology

Screening for patients at risk for cardiac amyloidosis via electronic health records: A multicenter machine learning development and validation study

medRxiv Apr 28, 2026
Background Timely detection is crucial to improve outcomes in patients with cardiac amyloidosis (CA) by initiation of life-saving treatments. Although confirmatory bone scintigraphy is highly accurate for CA detection, identifying at-risk patients fo... read more 
cardiovascular medicine

CladePredictor - MPXV: An alignment-free Artificial Intelligence-based classifier of complete and partial mpox virus genomes

medRxiv Apr 28, 2026
Poxviruses constitute a threat to human health. Since 2022, two public health emergencies of international concern due to global spread of mpox viruses (MPXVs) were declared. The emergence of the novel MPXV subclade Ib has placed the global health co... read more 
infectious diseases

Real-time prospective (shadow mode) validation of an AI-based clinical decision support system for predicting 3-month functional outcome in acute stroke: the VALIDATE study protocol

medRxiv Apr 27, 2026
Introduction Despite the proven benefits of reperfusion therapies in acute ischemic stroke, treatment decisions in the hyperacute phase remain complex and are rarely supported by individualized outcome predictions. Artificial intelligence (AI)-based ... read more 
neurology

Outcome Prediction Models for Critically Ill Patients Using Small Routine Laboratory Datasets

medRxiv Apr 27, 2026
We present a suite of foundational, outcome prediction models for critically ill patients, developed using readily available, routine blood tests and advanced machine learning techniques. The input data of the models includes complete blood counts (C... read more 
emergency medicine

Artificial-Intelligence-Enabled Early Malnutrition Risk Assessment Tools for Elderly Trauma Patients in Intensive Care Units

medRxiv Apr 27, 2026
Background & Aims: Accurate assessment of clinical malnutrition using anthropometric and functional indicators could improve the care of elderly trauma patients in intensive care units (ICUs). This study aimed to develop an AI-driven malnutrition ass... read more 
nutrition

Exposome-Based Clustering of Urinary VOC and PAH Biomarkers Reveals Racially Patterned Cardiovascular Risk in a Nationally Representative US Cohort: A Machine Learning Analysis of NHANES 2017-2018

medRxiv Apr 27, 2026
Background Polycyclic aromatic hydrocarbons (PAHs) and volatile organic compounds (VOCs) are combustion-derived pollutants linked to cardiovascular disease. Prior NHANES analyses have evaluated these chemicals individually, failing to capture the cor... read more 
cardiovascular medicine

Interpretable Machine Learning Reveals Integrated Water Chemistry and Parameter-Specific Nonlinear Responses Shaping Legionella spp. and Mycobacterium spp. in Drinking Water

medRxiv Apr 27, 2026
Traditionally, studies have explored the impacts of individual water chemistry parameters on the persistence of Mycobacterium spp. and Legionella spp. in isolation with the underlying assumption that these associations are likely monotonic in nature.... read more 
public and global health

A prognostic signature based on ectopic reactivation of eight tissue-specific genes in Diffuse Large B Cell Lymphoma.

medRxiv Apr 27, 2026
Diffuse Large B-cell lymphoma (DLBCL) is the most common aggressive lymphoma in the Western world. First-line immunochemotherapy fails in approximately 30-40% of patients, with refractory and relapse patients presenting a dismal prognosis. Currently,... read more 
hematology

Multicohort development and validation of a machine learning model to predict six-month functional traumatic brain injury outcomes in a large national registry

medRxiv Apr 27, 2026
Background: Prognostication after moderate-to-severe traumatic brain injury (TBI) rarely captures long-term functional recovery, despite its importance to patients, families, and clinicians. Large trauma registries such as the Trauma Quality Improvem... read more 
intensive care and critical care medicine
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