Artificial Intelligence Medical Compendium

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

Showing 44,381 to 44,390 of 224,055 articles

Automated machine learning of echocardiographic strain enables identification of early myocardial changes in pre-symptomatic TTR carriers

medRxiv Mar 5, 2026
Objectives: To identify unique echocardiographic signatures associated with TTR+ carrier status preceding onset of cardiac amyloidosis. Background: Carrier status for the most common pathogenic TTR variant in the United States, Val142Ile (V142I), fou... read more 
cardiovascular medicine

Enhancing Prediabetes Diagnosis from Continuous Glucose Monitoring Data via Iterative Label Cleaning and Deep Learning

medRxiv Mar 5, 2026
As of early 2026, over 115 million US adults (more than 1 in 3) have prediabetes, a condition with an annual conversion rate of 5%-10% to type 2 diabetes. Total diabetes (diagnosed and undiagnosed) affects approximately 40.1 million Americans, or 12%... read more 
health informatics

BEGA-UNet: Boundary-Explicit Guided Attention U-Net with Multi-Scale Feature Aggregation for Colonoscopic Polyp Segmentation

medRxiv Mar 5, 2026
Accurate polyp segmentation from colonoscopy images is critical for colorectal cancer prevention, yet the generalization of deep learning models under domain shift remains insufficiently explored. We propose Boundary-Explicit Guided Attention U-Net (... read more 
gastroenterology

Improving the detection of clinically significant steatotic liver disease using a machine learning algorithm in a real-world primary care population

medRxiv Mar 5, 2026
Background and aims Population screening for liver disease in high-risk groups is recommended. Community diagnosis of liver disease is a challenge due to the asymptomatic nature of disease until very advanced stages. Moreover, regional variation in t... read more 
gastroenterology

Class imbalance correction in artificial intelligence models leads to miscalibrated clinical predictions: a real-world evaluation

medRxiv Mar 5, 2026
Background Predictive models employing machine learning algorithms are increasingly being used in clinical decision making, and improperly calibrated models can result in systematic harm. We sought to investigate the impact of class imbalance correct... read more 
health informatics

Characterizing Autonomic Dysfunction during Resuscitation in Sepsis using Multiscale Entropy

medRxiv Mar 5, 2026
Rationale Autonomic dysfunction is a hallmark of sepsis pathophysiology, yet its quantification remains challenging. Multiscale entropy (MSE) derived from heart rate variability (HRV) offers a dynamic measure of physiological complexity and may serve... read more 
intensive care and critical care medicine

Red-Teaming Medical AI: Systematic Adversarial Evaluation of LLM Safety Guardrails in Clinical Contexts

medRxiv Mar 5, 2026
Background: Large language models (LLMs) are increasingly deployed in medical contexts as patient-facing assistants, providing medication information, symptom triage, and health guidance. Understanding their robustness to adversarial inputs is critic... read more 
health informatics

PAMG-AT: A Physiological Attention Multi-Graph Model with Adaptive Topology for Stress Detection using Wearable Devices

bioRxiv Mar 5, 2026
Stress detection with wearable physiological sensors is vital in digital health and affective computing. Conventional machine learning techniques usually examine physiological signals separately, missing the intricate inter-signal connections involve... read more 
bioinformatics

A Resolution-Agnostic Geometric Transformer for Chromosome Modeling Using Inertial Frame

bioRxiv Mar 5, 2026
Chromosomes are the carriers of genetic information. Further understanding their 3D structure can help reveal gene-regulatory mechanisms and cellular functions. However, high-resolution 3D structures are often missing due to the high cost and inheren... read more 
bioinformatics

Aβ-Overlapping Ectodomain Binding of the Clinical-Stage TREM2 Agonist VG-3927

bioRxiv Mar 5, 2026
Triggering receptor expressed on myeloid cells 2 (TREM2) is a microglial immune receptor genetically and functionally linked to Alzheimers disease (AD). VG-3927, the first clinical-stage small-molecule TREM2 agonist, has been proposed to function as ... read more 
pharmacology and toxicology
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