Artificial Intelligence Medical Compendium

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

Showing 49,211 to 49,220 of 224,513 articles

Dual-Modal Deep Learning with In-Domain Training and Attention for Infant Brain Myelination Prediction.

Neuroinformatics
Myelin plays a critical role in the central nervous system, and its maturation is essential for understanding brain development. However, assessing myelin progression remains challenging due to variability across age groups. Radiologists typically re... read more 

Bulk and single-cell transcriptomics for identification of potential diagnostic biomarkers associated with pulmonary arterial hypertension and integrated stress response and experimental validation.

Clinical and experimental hypertension (New York, N.Y. : 1993)
BACKGROUND: Pulmonary arterial hypertension (PAH) is a lethal vascular disorder characterized by irreversible remodeling of the pulmonary arteries, but the systematic role of the integrated stress response (ISR)-related genes (ISR-RGs) in its pathoge... read more 

Endocrine hypertension in 2025: how AI and multiomics are revolutionizing detection.

Expert review of cardiovascular therapy
INTRODUCTION: Endocrine hypertension (EH) represents a small yet clinically significant subset of secondary hypertension with curative potential. Recent advances in multiomics and artificial intelligence (AI) are transforming the diagnostic and thera... read more 

Adoption of AI-Based Scribes in Telemedicine: Provider Attitudes and Insights.

Telemedicine journal and e-health : the official journal of the American Telemedicine Association
BACKGROUND: Technological advancements and legislation have led to the widespread use of electronic health records (EHRs) in the 21st century. Along with EHR implementation came improved health care quality, continuity of care, and data availability.... read more 

Predicting Adolescent Response to School-Based Mindfulness: A Secondary Analysis of the MYRIAD Trial.

JAMA psychiatry
IMPORTANCE: Depression most commonly first emerges during adolescence, making early prevention critical. While school-based mindfulness training (SBMT) offers a scalable prevention approach with broad reach, evidence of its effectiveness is mixed, an... read more 

The effect of robot-assisted gait training on physical activity outcomes in people with spinal cord injury: A systematic review.

Clinical rehabilitation
ObjectiveTo summarise the evidence for changes in physical activity outcomes during robot-assisted gait training in patients with spinal cord injury.Data sourcesThe Web of Science, Physiotherapy Evidence Database, Central, Medline, Scopus and SportDi... read more 

Development and internal-external validation of a machine learning model to predict the risk for postoperative adverse events in patients with peptic ulcer perforation: a secondary cohort study of the perforated peptic ulcer analyzing project study.

International journal of surgery (London, England)
BACKGROUND: Morbidity and mortality rates after surgery in patients with perforated peptic ulcer (PPU) remain high. Although several scoring systems have been proposed, only a few machine learning models have been designed to predict postoperative ad... read more