Artificial Intelligence Medical Compendium

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

Showing 41 to 50 of 212,294 articles

An interpretable machine learning model integrating ultrasound and clinical variables for predicting osteoporosis in patients with rheumatoid arthritis.

Clinical rheumatology Jul 17, 2026
OBJECTIVES: Rheumatoid arthritis (RA) significantly increases the risk of osteoporosis (OP) and fractures, yet dual-energy X-ray absorptiometry (DXA) is underused in routine care. This study aims to develop and explain a machine learning model to ide... read more 

Differentiating septic arthritis from non-infectious inflammatory causes of acute monoarticular arthritis in children: A machine learning approach based on routine laboratory tests.

Irish journal of medical science Jul 17, 2026
OBJECTIVE: Acute monoarthritis in children poses a diagnostic challenge, particularly in distinguishing septic arthritis from non-infectious inflammatory causes. Delayed or incorrect diagnosis may lead to serious complications or inappropriate treatm... read more 

Differentiating septic arthritis from non-infectious inflammatory causes of acute monoarticular arthritis in children: A machine learning approach based on routine laboratory tests.

Irish journal of medical science Jul 17, 2026
OBJECTIVE: Acute monoarthritis in children poses a diagnostic challenge, particularly in distinguishing septic arthritis from non-infectious inflammatory causes. Delayed or incorrect diagnosis may lead to serious complications or inappropriate treatm... read more 

Dynamic Spatio-Temporal Fusion Network Via Hierarchical Self-Attention for Seizure Prediction.

IEEE journal of biomedical and health informatics Jul 17, 2026
The use of deep learning for EEG-based seizure prediction has grown rapidly in recent years. However, existing studies fail to effectively encode spatial variations under temporal dynamics. This limitation impedes the modeling of complex spatiotempor... read more 

Discovering Utility-driven Interval Rules.

IEEE transactions on pattern analysis and machine intelligence Jul 17, 2026
For artificial intelligence, high-utility sequential rule mining (HUSRM) is a knowledge discovery method that can reveal the associations between events in the sequences. Recently, abundant methods have been proposed to discover high-utility sequenti... read more 

SPPIPred: Stacking-based ensemble learning model for identification of protein-protein interaction.

PloS one Jul 17, 2026
Protein-protein interactions (PPIs) are essential for various biological functions and are crucial in drug discovery, signaling pathways, and network reconstruction. This study presents SPPIPred, an advanced machine learning-based model designed for ... read more 

Identifying severe COVID-19 risk variants modulating enhancer reporter activity in lung cells.

PLoS genetics Jul 17, 2026
Common genetic variants contribute to risk for complex human diseases. However, despite thousands of associations, variants modulating disease risk and their functional impact remain largely unknown. This includes SARS-CoV-2 infection, where outcomes... read more 

Letter to the Editor regarding "End-of-life education: An explorative study using artificial intelligence simulations in undergraduate nursing".

Nursing outlook Jul 16, 2026
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Early Prediction of Critical Care Interventions From Pediatric Emergency Department Triage.

Hospital pediatrics Jul 20, 2026
BACKGROUND AND OBJECTIVES: Most pediatric emergency departments (EDs) in the United States use Emergency Severity Index (ESI) system to triage patients. Because the 5-level classification provides limited risk stratification, this study aims to impro... read more 

Combining transvaginal ultrasound radiomics with clinical-ultrasound semantic features for the identification of high-risk endometrial lesions.

BMC women's health Jul 20, 2026
OBJECTIVE: Preoperative risk stratification of high-risk endometrial lesions remains a clinical challenge. This study aimed to preliminarily explore an integrated machine learning approach combining transvaginal ultrasound (TVUS) radiomics, clinical ... read more 
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