Artificial Intelligence Medical Compendium

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

Showing 55,791 to 55,800 of 226,731 articles

Echo Flow-Induced Temporal Correlation Learning for Ultrasound Video Object Segmentation.

IEEE transactions on bio-medical engineering Feb 1, 2026
OBJECTIVE: The segmentation of ultrasound video objects aims to delineate specific anatomical structures or areas of injury in sequential ultrasound imaging data. Current methods exhibit promising results, but struggle with key aspects of ultrasound ... read more 

Sample-Level Prototypical Federated Learning.

IEEE transactions on pattern analysis and machine intelligence Feb 1, 2026
With the increasing concerns about privacy and data regulations, federated learning (FL) has been emerging as a solution to train machine learning models collaboratively with non-exchangeable data from multiple clients. As a result of data locality, ... read more 

Convolutional neural network-derived neurofibrillary tangle classifiers: Investigative tools to identify maturation levels and explore post-translational modifications using laser capture microdissection coupled mass spectrometry.

Journal of neuropathology and experimental neurology Feb 1, 2026
Post-translational modifications (PTM) of tau are implicated in Alzheimer disease (AD) progression and are established biomarkers in cerebrospinal fluid and plasma; however, the labor-intensive nature of conventional proteomics limits their investiga... read more 

An Enhanced Adaptive Confidence Margin for Semi-Supervised Facial Expression Recognition.

IEEE transactions on pattern analysis and machine intelligence Feb 1, 2026
Semi-supervised learning (SSL) provides a practical framework for leveraging massive unlabeled samples, especially when labels are expensive for facial expression recognition (FER). Typical SSL methods like FixMatch select unlabeled samples with conf... read more 

BRACTIVE: A Brain Activation Approach to Human Visual Brain Learning.

IEEE transactions on pattern analysis and machine intelligence Feb 1, 2026
The human brain is a highly efficient processing unit, and understanding how it works can inspire new algorithms and architectures in machine learning. In this work, we introduce a novel framework named Brain Activation Network (BRACTIVE), a transfor... read more 

Machine Learning-based Prediction of Mortality Among Malnourished Patients Hospitalized With Inflammatory Bowel Disease.

Journal of clinical gastroenterology Feb 1, 2026
BACKGROUND: Malnourished patients hospitalized with inflammatory bowel disease (IBD) have a high risk of morbidity and mortality. Risk stratification can help identify patients who are most in need of medical and nutritional intervention. GOAL: This ... read more 

Interpretable Lifestyle-Based Machine Learning Models for Ten-Year Cardiovascular Risk Prediction using data from the UK Biobank

medRxiv Feb 1, 2026
Background: Cardiovascular diseases (CVDs) remain the leading global cause of morbidity and mortality. In clinical practice, 10-year risk prediction tools such as the Pooled Cohort Equations, QRISK3, and SCORE2 are widely used because of their transp... read more 
health informatics

JADE: Jawbone Lesion Diagnosis and Decision Supporting System

medRxiv Feb 1, 2026
Objectives: To develop and evaluate JADE, a proof-of-concept retrieval-augmented generation (RAG) diagnostic assistive system designed to enhance large language model (LLM) reasoning for the assessment of jawbone lesions. This study examined whether ... read more 
pathology

Decomposing Heterogeneity in Disease Progression Speeds and Pathways

medRxiv Feb 1, 2026
Understanding why patients with the same diagnosis exhibit markedly different disease progression--some progressing rapidly, others slowly, and through distinct symptom patterns--remains a major challenge in medicine. Here, we developed a machine lea... read more 
health informatics

Graph neural network-based prediction of direct reprogramming factors using gene regulatory networks with microRNA-mediated regulation

bioRxiv Feb 1, 2026
Direct reprogramming (DR) converts somatic cells directly into target cell types while bypassing an intermediate pluripotent state, such as induced pluripotent stem cells. In practice, DR is achieved by transfecting multiple transcription factors (TF... read more 
bioinformatics
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