Artificial Intelligence Medical Compendium

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

Showing 37,611 to 37,620 of 223,469 articles

Efficient Voice-Based Parkinson Classification via Algorithm-Level Class Balancing.

Journal of voice : official journal of the Voice Foundation Mar 30, 2026
Parkinson's disease (PD) is a progressive neurodegenerative disorder, and the diagnostic procedures are very crucial in enhancing patient outcomes when performed on time and accurately. Machine learning procedures have shown promising results in iden... read more 

Radiomics-Based Classification of Pathological Patterns in Common Carotid Artery Wall.

Ultrasound in medicine & biology Mar 30, 2026
OBJECTIVES: Abnormal echogenic patterns such as the triple signal pattern can be identified in the common carotid artery (CCA) using ultrasound. These patterns have been associated not only with fibromuscular dysplasia but also with primary hypertens... read more 

Artificial intelligence in pediatric endocrinology: clinical applications, governance, and future directions.

Current opinion in pediatrics Mar 30, 2026
PURPOSE OF REVIEW: Artificial intelligence has transitioned from theoretical promise to practical implementation across medicine including pediatric endocrinology. This review examines artificial intelligence applications across diabetes care, obesit... read more 

Machine learning-guided inverse design of persulfate catalysts: From global screening to targeted single-atom synthesis.

Journal of hazardous materials Mar 30, 2026
Achieving both high activity and precise control over reaction pathways (radical vs. non-radical) in persulfate-based advanced oxidation processes (PS-AOPs) remains a key challenge. Here, we report a machine learning (ML)-guided inverse design framew... read more 

Text mining and machine learning based health risk prediction for soil polycyclic aromatic hydrocarbons at typical coal-fired industrial sites in china.

Journal of hazardous materials Mar 30, 2026
Polycyclic aromatic hydrocarbons (PAHs) are persistent organic pollutants posing significant threats to the environment and human health, particularly at active coal-fired industrial sites (coking, steel smelting, and thermal electric power generatio... read more 

Predicting depression treatment outcomes for cognitive behavioural therapy using machine learning: A systematic review and meta-analysis.

Behaviour research and therapy Mar 30, 2026
BACKGROUND: Cognitive behavioural therapy (CBT) is an empirically-supported treatment for depression, although some patients respond well and others do not. The use of machine learning (ML) could potentially help to predict which patients may benefit... read more 

From prompting to practice: Empowering faculty with AI and prompting tools.

Nurse education today Mar 30, 2026
As artificial intelligence (AI) transforms nursing education, faculty must develop digital literacy and prompt engineering skills to integrate these tools effectively. This paper explores how core nursing competencies align with prompt engineering pr... read more 

Effects of meteorological factors on oil content and composition in Camellia oleifera seed kernels: a machine learning and multi-omics study.

Food chemistry Mar 30, 2026
Camellia oleifera has attracted considerable attention for its richness in unsaturated fatty acids, yet the associations between meteorological variation and oil biosynthesis remain poorly understood. In this study, machine learning models trained on... read more 

Coupling bayesian optimization and multi-paradigm ensemble learning to predict lead remediation in microbially induced carbonate precipitation: From model performance to crystalline control windows.

Journal of hazardous materials Mar 30, 2026
Microbially Induced Carbonate Precipitation (MICP), recognized as a highly promising green remediation technology, exhibits lead (Pb) immobilization efficiency governed by the complex and nonlinear coupling of multiple biogeochemical factors. Consequ... read more 

Emerging frontiers in cervical cancer diagnostics: Recent innovations in biosensors for HPV detection.

Talanta Mar 30, 2026
Cervical cancer (CC) is recognized as a significant health concern impacting females worldwide. The pathogenicity of CC is associated with human papillomavirus (HPV). Timely diagnosis, therefore, becomes imperative for reducing mortality and improvin... read more 
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