Artificial Intelligence Medical Compendium

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

Showing 23,251 to 23,260 of 217,176 articles

Improving AlphaFold2 Performance in Virtual Screens Targeting GPCRs by Enhancing Binding-Site Conformational Sampling.

Journal of chemical information and modeling May 4, 2026
Artificial intelligence has transformed protein structure prediction, with AlphaFold2 (AF2) generating models with near-experimental accuracy. However, as AF2 was trained to generate a single structural model, this method does not capture the conform... read more 

FairCareNLP: An AI-driven patient review analyzer for healthcare.

PloS one May 4, 2026
OBJECTIVE: To develop and evaluate an automatic patient review analyzer that applies advanced Natural Language Processing (NLP) and machine learning methods to improve the efficiency, fairness, and accuracy of healthcare feedback analysis. MATERIALS ... read more 

MolXProt: A Cross-Attention Transformer-Based Graph Neural Network for Protein-Ligand Binding Affinity Prediction.

Journal of chemical theory and computation May 4, 2026
Accurate and fast prediction of drug-target binding affinities (DTAs) is key for drug discovery; however, many methods, such as docking and empirical scoring, fail when generalizing to unseen cases. In this study, we introduced the MolXProt architect... read more 

Development and evaluation of an ontology for non-invasive respiratory support in acute care.

PloS one May 4, 2026
Managing patients with respiratory failure increasingly involves non-invasive respiratory support (NIRS) strategies to support respiration, often preventing the need for invasive mechanical ventilation. However, despite the rapidly expanding use of N... read more 

Rheumatic Digital Twin: Proposed Machine Learning-Based Multimodal Framework to Inform Clinical Decision-Making.

Journal of medical Internet research May 4, 2026
Rheumatic diseases are chronic, immune-mediated conditions characterized by significant heterogeneity in presentation and disease course. However, current clinical approaches often rely on snapshot-based assessments that fail to capture the complex l... read more 

Genetic variants and polygenic risk scores associated with paroxysmal atrial fibrillation in the Japanese population.

PloS one May 4, 2026
Early-stage diagnosis of paroxysmal atrial fibrillation (PAF) is challenging owing to its asymptomatic nature. However, the genetic factors underlying PAF and predictive utility of polygenic risk scores (PRSs) for PAF in Asian populations remain elus... read more 

Identification of potential biomarkers for osteoporosis and chronic kidney disease through bioinformatics and machine learning algorithm.

PloS one May 4, 2026
OBJECTIVE: The purpose of this study is to identify hub genes associated with both osteoporosis (OP) and chronic kidney disease (CKD) through bioinformatics analysis, and to explore the potential pathogenetic mechanisms in OP and CKD through these hu... read more 

ATF-MGIAM: Medically-guided interpretable attention mapping for robust pertussis cough sound recognition.

PloS one May 4, 2026
To address the challenges of complex acoustic patterns and limited interpretability in pertussis cough sound recognition, this study proposes an interpretable deep learning framework based on adaptive time-frequency fusion and medically guided attent... read more 

VUStruct: A compute pipeline for high throughput and personalized structural biology.

PLoS computational biology May 4, 2026
Effective diagnosis and treatment of rare genetic disorders requires the interpretation of a patient's genetic variants of unknown significance (VUSs). Today, clinical decision-making is primarily guided by gene-phenotype association databases and DN... read more 

Explainable AI-driven diagnosis model for early glaucoma detection using grey-wolf optimized extreme learning machine approach.

PLoS computational biology May 4, 2026
Glaucoma is a leading global cause of blindness, making early detection essential. This paper introduces GlaucoXAI (Glaucoma Explainable AI), an advanced computer-aided diagnosis (CAD) model that integrates machine learning and explainable AI for gla... read more 
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