Artificial Intelligence Medical Compendium

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

Showing 45,601 to 45,610 of 224,055 articles

Artificial Intelligence Integration in Radiation Therapy Education: A Multi-Modal Approach.

Journal of medical radiation sciences
INTRODUCTION: Critical workforce shortages in radiation oncology have led tertiary institutions to rapidly expand their radiation therapy (RT) student cohorts. The increase in students entering university created the challenge of scaling educational ... read more 

Neutrophil extracellular trap-related genes in PTCL: identification, prognosis and drug interaction prediction via bioinformatics-machine learning.

Hematology (Amsterdam, Netherlands)
OBJECTIVE: This study aimed to identify neutrophil extracellular trap-related genes (NET-RGs), explore their prognostic significance, and predict drug interactions in peripheral T-cell lymphoma (PTCL). METHODS: Differentially expressed NET-RGs (DE-NR... read more 

Machine Learning for Estimating Cardiorespiratory Fitness in Patients With Obesity: Protocol for a Retrospective and Prospective Multicenter Cohort Study.

JMIR research protocols
BACKGROUND: Cardiorespiratory fitness (CRF) is a key predictor of cardiovascular and other health-related diseases in individuals with obesity. CRF is most accurately assessed through maximal exercise testing with advanced gas-analysis equipment (max... read more 

Evaluation of a Community-Based AI-Assisted Visual Impairment Screening Model for Performance, Operational Efficiency, Acceptability, Feasibility, and Costs: Protocol for a 2-Arm Pragmatic Randomized Controlled Trial.

JMIR research protocols
BACKGROUND: Visual impairment (VI) affects more than 600 million people globally and significantly reduces quality of life. In Singapore, 20% of adults aged 60 years and older (~180,000 people) have VI, a figure expected to double by 2030 due to popu... read more 

Systematic Review of Studies Investigating Infant Feeding Difficulties: Focus on Machine Learning Applications.

Journal of pediatric health care : official publication of National Association of Pediatric Nurse Associates & Practitioners
INTRODUCTION: This study aims to systematically review studies using machine learning for infant feeding difficulties and identify the clinical applicability and limitations of such approaches. METHODS: A literature search was conducted in accordance... read more 

Temporal patterns and predictive factors of depressive disorders among adolescents and young people in Asia.

Psychiatry research
BACKGROUND: Depressive disorders are a leading cause of non-fatal health loss among adolescents and young adults, yet evidence on long-term trends and regional heterogeneity across Asia remains limited. This study assessed the burden and key drivers ... read more 

Distinguishing lumpy skin disease from coat patterns using morphological priors in deep learning.

Veterinary journal (London, England : 1997)
Lumpy skin disease (LSD) is an important transboundary disease of cattle that compromises animal welfare and causes major production and economic losses. Early on-farm recognition is challenging, particularly when lesions are small, low contrast, or ... read more 

Effective connectome-based predictive modeling reveals transdiagnostic heterogeneity of anhedonia from shared hubs to dissociable pathways.

Behavioural brain research
Anhedonia, a core transdiagnostic symptom of psychiatric disorders, is commonly dissociated into anticipatory (AP) and consummatory (CP) components. However, their patterns of divergence and convergence at the effective connectome level, and their as... read more 

Volatilomics insights in older adults with diabetes: from metabolic mechanisms to precision geriatric medicine.

Diabetes research and clinical practice
AIMS: This review aims to evaluate the hypothesis that Volatilomics-the comprehensive analysis of volatile organic compounds (VOCs) from breath, skin, urine, and other biological matrices-can serve as a non-invasive tool to characterize metabolic alt... read more 

The multiverse of zebrafish within the nanoworld.

Journal of controlled release : official journal of the Controlled Release Society
The zebrafish (Danio rerio) has evolved into a strategic, high-throughput platform, bridging the critical gap between in vitro assays and costly mammalian studies in nanomedicine development. This is underscored by its prolific adoption, with over 11... read more