Artificial Intelligence Medical Compendium

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

Showing 29,151 to 29,160 of 219,647 articles

A Review on Food Safety Analysis Based on Spectroscopic Techniques and Machine Learning.

Critical reviews in analytical chemistry
In recent years, the integration of spectroscopic techniques with machine learning algorithms has emerged as a powerful analytical paradigm, demonstrating significant potential across diverse sectors, including food safety, pharmaceuticals, and agric... read more 

AI-Driven Chemometrics for Multi-omics Data Integration: Advances, Challenges, and Future Directions.

Critical reviews in analytical chemistry
The convergence of artificial intelligence and chemometrics has revolutionized multi-omics data integration, enabling unprecedented insights into complex biological systems. This critical review examines AI-driven approaches for integrating genomics,... read more 

A systematic comparison of transformers and ConvNets for root segmentation across nine datasets.

Plant methods
BACKGROUND: Root segmentation is a fundamental yet challenging task in image-based plant phenotyping. Accurate segmentation is a prerequisite for extracting root traits relevant to plant physiology, breeding, and agronomy. While U-Net and other convo... read more 

Deep learning driven clustering of post-traumatic stress disorder (PTSD) profiles in student-athletes: implications for precision and stratified mental health support.

BMC psychology
BACKGROUND: Athletes frequently experience potentially traumatic events related to sports injuries, significantly increasing their risk of developing post-traumatic stress disorder (PTSD). However, existing assessment methods often overlook the heter... read more