Artificial Intelligence Medical Compendium

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

Showing 2,721 to 2,730 of 202,598 articles

Precise calcium-to-spike inference using biophysical generative models

bioRxiv Jun 4, 2026
The intramolecular dynamics of fluorescent calcium indicators distort the relationship between calcium signals and action potentials (spikes), hampering efficient spike inference from calcium imaging. To address this problem, we characterized the cal... read more 
neuroscience

Relational homeostatic scaling supports stable rate-code transmission under noise and heterogeneity

bioRxiv Jun 4, 2026
Reliable transmission of firing-rate signals through neural circuits requires synaptic coupling to remain within a narrow regime shaped by neuronal heterogeneity and noise. Outside this regime, classical theory predicts that activity will dissipate o... read more 
neuroscience

OmniGene-4: A Unified Bio-Language MoE Model with Router-Level Interpretability

bioRxiv Jun 4, 2026
How do multi-modal large language models that jointly process natural language and biological sequences (DNA, protein, structural alphabets) actually answer biological questions, especially sequence-grounded questions whose answer depends on residue-... read more 
bioinformatics

The machine-learning classifier ALLCatchR2 identifies 20 T-ALL subtypes across cohorts and age groups

bioRxiv Jun 3, 2026
T-cell acute lymphoblastic leukemia (T-ALL) comprises molecularly diverse subtypes, but robust cross-cohort validations and operational gene-expression definitions are lacking. To establish a gene-expression-anchored framework for T-ALL subtyping, we... read more 
bioinformatics

MyoPath: A Deep Learning Pipeline for Objective Morphometric Assessment of Skeletal Muscle Biopsies

medRxiv Jun 3, 2026
Histopathological evaluation of skeletal muscle biopsies relies on subjective, semi-quantitative assessment with no standardized grading system. We developed a four-tissue deep learning segmentation pipeline using Cellpose-SAM for myofiber instance s... read more 
radiology and imaging

To RAG, or Not to RAG? A Comparative Evaluation of Retrieval-Augmented Generation for ICD Coding of German Tumor Diagnoses

medRxiv Jun 3, 2026
Introduction Coding tumor diagnoses from free-text clinical documentation currently requires substantial manual effort. Promising approaches for automating this process include large language mod-els (LLMs), embedding models, and retrieval-augmented ... read more 
health informatics

Health Care Students/Professionals Perspectives on Artificial Intelligence: Survey in Erbil, Iraq

medRxiv Jun 3, 2026
Abstract Background: Artificial Intelligence (AI) is increasingly integrated into healthcare systems worldwide and medical schools worldwide have begun integrating AI into their curricula. The healthcare system in Iraq is currently undergoing develop... read more 
medical education

Self-Reported Side Effects Among Reddit Users Taking Unapproved Retatrutide

medRxiv Jun 3, 2026
Gray-market retatrutide use is increasing, but patient safety experiences remain poorly characterized. This cross-sectional analysis examined Reddit posts and comments from retatrutide-specific and broader peptide or weight-management communities thr... read more 
health informatics

Performance of Vision-Language Models for Zero-Shot Lung Nodule Detection on Chest Radiographs

medRxiv Jun 3, 2026
Background and Objectives: The ability of vision-language models (VLMs) to detect lung nodules on chest radiographs remains uncertain. This retrospective study aimed to compare the zero-shot performances of six VLMs for lung nodule detection using da... read more 
radiology and imaging

Deep Longitudinal Clusters of Type 2 Diabetes Pathophysiology and their Risk of Cardiovascular Disease Events and All-Cause Mortality

medRxiv Jun 3, 2026
Objective: Despite the complex and non-linear progression of diabetes, its shared pathways with atherosclerotic cardiovascular disease (ASCVD) are conventionally described using models based on single time points. We identified longitudinal diabetes ... read more 
endocrinology
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