Artificial Intelligence Medical Compendium

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

Showing 34,001 to 34,010 of 221,510 articles

Underlying Framework of All-optical Controlled Synaptic Devices for Neuromorphic Computing.

Nano-micro letters
The rapid expansion of artificial intelligence has led to significant challenges in energy consumption and computational efficiency. To address these issues, the exploration and development of all-optical controlled (AOC) synaptic devices represents ... read more 

A novel predictive model for evaluating thrombus regression in postpartum venous thromboembolism patients.

International journal of clinical pharmacy
INTRODUCTION: Antithrombotic evaluation of postpartum venous thromboembolism (VTE) after anticoagulant therapy is challenging because of the lack of high-quality clinical evidence. AIM: To identify and validate a machine learning model to predict thr... read more 

MOGANet: A Multi-omics Graph Attention Network for Cancer Diagnosis and Biomarker Identification.

Interdisciplinary sciences, computational life sciences
Multi-omics integration holds considerable promise for advancing disease understanding and improving the performance of biomedical classification tasks. However, existing methods often struggle to comprehensively capture the complex relationships wit... read more 

Bioinspired Dual-Scale Crack Manipulation Enabling 325%-Stretchable Metal Film Conductors for AI-Empowered Electronic Skins.

Nano-micro letters
The advancement of electronic skins toward commercialization calls for cost-effective and robust flexible conductors, among which metal films are attractive candidates but suffer from poor stretchability. Conventionally, cracks formed in strained met... read more 

AI Breast Cancer Prediction Tool Hits the Clinic.

Cancer discovery
An artificial intelligence model called Clairity Breast, which uses mammogram images to predict the 5-year likelihood of breast cancer, was recently launched in Massachusetts. The first to receive FDA authorization and be implemented clinically, it c... read more 

The application of artificial intelligence in food fraud and adulteration analysis: a review.

Food additives & contaminants. Part A, Chemistry, analysis, control, exposure & risk assessment
Food fraud represents a critical challenge to global food safety and economic integrity, costing the industry an estimated $10-40 billion annually. Traditional analytical methods, while effective, are often time-consuming and resource intensive. Arti... read more 

Deep learning-enabled scaffolding of spatial arrays of PfCSP epitopes.

Proceedings of the National Academy of Sciences of the United States of America
Malaria is a leading cause of disease in developing countries. The licensed malaria vaccine RTS,S/AS01 confers partial protection in part due to the elicitation of circumsporozoite protein (CSP) antibodies, of which those to the CSP repeat and juncti... read more