Artificial Intelligence Medical Compendium

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

Showing 4,951 to 4,960 of 203,854 articles

Explainable machine learning reveals an RBP regulatory logic of exon skipping

bioRxiv
RNA binding proteins (RBPs) regulate the life cycle of an mRNA, often through RBP-RNA interactions. This life cycle includes splicing, whereby the intronic sequence of a pre-mRNA is removed and the exons are joined together. However, the patterns of ... read more 

A pilot assessment of avian communities and soundscapes along an Amazonian fluvial corridor

bioRxiv
Quantifying biodiversity patterns in remote Amazonian ecosystems remains constrained by the limitations of traditional field surveys. We combined passive acoustic monitoring (PAM), machine learning, and ecoacoustic metrics to assess the taxonomic and... read more 

Towards A Foundation Model for Clinical Voice Biomarkers

medRxiv
Vocal biomarkers, encompassing voice and speech, have largely been developed for individual conditions in isolation, limiting their generalizability across diseases and recording settings. To address this, we introduce VoiceFM, a contrastive model th... read more 

Deep learning optimisation for cardiology: Neural Architecture Search-driven arrhythmia classification with electrocardiograms

medRxiv
Cardiovascular disease is the leading cause of death worldwide. Sudden cardiac death (SCD) accounts for roughly 50% of all cardiac deaths. The electrocardiogram (ECG) is widely used for early diagnosis of cardiac disease. However, the complexity of a... read more 

Boundary-Specific Failure Modes and Safety Trade-offs of Large Language Models in ChronicKidney Disease Renoprotective Therapy Review:A Stratified Synthetic Benchmark

medRxiv
Background.Renoprotective therapies - SGLT2 inhibitors, finerenone, and renin-angiotensin system inhibitors (RASi) - remain underutilisedin chronic kidney disease (CKD). Large language models (LLMs) may detect therapy omissions, but their performance... read more 

High-dimensional Characterization of Genome-Environment Fitness Landscapes in Klebsiella pneumoniae

medRxiv
Background Bacterial fitness is shaped by interactions between genome variation and environmental context, yet how these interactions determine its predictability and heritability remains unclear. In the clinically important pathogens of Klebsiella p... read more 

The Verification Gap: Artificial Intelligence Adoption, Hallucination Awareness, and Verification Practices Among Early Career Medical Researchers in Pakistan

medRxiv
Artificial intelligence (AI) tools have been rapidly adopted by medical researchers, yet whether early career researchers in low and middle income countries possess the awareness and habits needed to use these tools safely remains poorly documented. ... read more 

Evaluation of two large language models for intensive care unit discharge decisions: a prospective observational cohort study.

Brazilian journal of anesthesiology (Elsevier)
BACKGROUND: The aim of this study was to evaluate the effectiveness of two general-purpose Large Language Models (LLMs), ChatGPT and Gemini, in predicting Intensive Care Unit (ICU) discharge decisions (discharge vs. non-discharge). By comparing their... read more 

External Validation of a mHealth Tool for Detecting Gingival Inflammation in Community-Dwelling Older Adults.

Journal of dentistry
OBJECTIVE: This study aimed to externally validate the screening performance of a pro-social (equitable, accessible), explainable AI (XAI)-guided mobile health (mHealth) tool, GumAI, that automated the analysis of smartphone photographs to detect sig... read more 

UV spectroscopy associated with machine learning as a complementary tool for the diagnosis of Ehrlichia canis in dogs.

Photodiagnosis and photodynamic therapy
Canine ehrlichiosis, caused by Ehrlichia canis, is a tick-borne disease with a global distribution that significantly affects the clinical and epidemiological landscape for dogs. Although laboratory diagnosis is essential, current diagnostic methods ... read more