Artificial Intelligence Medical Compendium

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

Showing 36,241 to 36,250 of 223,137 articles

AI-driven adaptive vibration control in smart plate systems: a sustainable approach for next-generation sports engineering.

Scientific reports
The current paper proposes an AI-based method for the vibration control of smart plate systems. The application is set for next-generation sports engineering, where performance enhancement is the main goal. The system consists of a core of coarse agg... read more 

Advancing cardiovascular disease diagnosis with an interpretable and responsible AI framework.

Scientific reports
Cardiovascular disease (CVD) remains a leading global health threat, responsible for one in five deaths worldwide. Early detection is critical to mitigate morbidity and mortality, yet traditional diagnostic methods often rely on reactive clinical ass... read more 

Malignant vs. Non-malignant Annotations on TCGA Breast Cancer Whole Slide Images for AI Analysis.

Scientific data
Identification of malignant and non-malignant regions in breast cancer whole slide images (WSIs) is essential for understanding tumor heterogeneity and histopathological evaluation. Annotated data allows deep learning models to learn features and ana... read more 

Machine-learning enhanced simulations predict graphene is hydrophobic and microscopically not wetting transparent.

Nature communications
The interaction between graphene and water is fundamental to applications ranging from filtration to nano-electronics, yet the intrinsic wettability of graphene remains a subject of longstanding debate. In particular, it is disputed whether graphene ... read more 

Generative artificial intelligence in medical scientific writing: Practical and ethical considerations.

Archivos argentinos de pediatria
Generative artificial intelligence (AI) is transforming scientific communication in health, offering opportunities to improve the quality and efficiency of academic writing. This article provides practical guidance for healthcare professionals on the... read more 

Fuzzy-logic-driven predictions of multi-tissue ingrowth for rapid screening of mechanically instructive tissue-engineering scaffolds.

Biomedical materials (Bristol, England)
High retear rates in surgical intervention of interfacial/transitional tissues (bone-tendon, bone-ligament) drive a need to design tissue engineering scaffolds that can successfully mimic healthy tissue mechanics. Current testing mechanisms of scaffo... read more 

Artificial Intelligence, Connected Care, and Enabling Digital Health Technologies in Rare Diseases With a Focus on Lysosomal Storage Disorders: Scoping Review.

Journal of medical Internet research
BACKGROUND: Rare diseases affect more than 300 million people globally, and only about 5% have approved therapies. Lysosomal storage disorders (LSDs) exemplify the diagnostic and long-term care complexity typical of rare diseases, and digital health ... read more 

Towards Clinical Integration of Deep Learning-Based Classification of Urinary Sediment Particles from Digital Microscopy Images: A Prospective Study.

Clinical chemistry
BACKGROUND: Urinalysis is a standard clinical test that includes the microscopic examination of urinary sediment to identify formed elements. Manual evaluation by laboratory technicians is time-intensive and subject to human error. Automated analysis... read more