Artificial Intelligence Medical Compendium

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

Showing 25,961 to 25,970 of 217,905 articles

Identifying Actionable Glucose Patterns in Type 1 and Type 2 Diabetes Using Continuous Glucose Monitoring and Algorithmic Pattern Recognition.

Journal of diabetes science and technology
BACKGROUND: Continuous glucose monitoring (CGM) provides real-time glucose data, aiding diabetes management. Identifying glucose patterns is difficult for patients due to data overload, hindering self-management. This study aimed to systematically id... read more 

Serum metabolic profile at clinical onset as predictor of multiple sclerosis activity and progression after 5 years.

Multiple sclerosis (Houndmills, Basingstoke, England)
BACKGROUND: Metabolic dysregulations have been reported in multiple sclerosis (MS), but it is unclear whether metabolic profiles at disease onset predict long-term outcomes. OBJECTIVES: We evaluated whether baseline metabolic profiles at MS onset cou... read more 

Deciphering Zinc Binding Groups through Systematic Modeling and Cheminformatic Analysis.

Journal of chemical information and modeling
Zinc metalloenzymes (Zn-MEs) are a target family with significant therapeutic relevance. Zinc binding groups (ZBGs) are key for Zn-ME inhibitors. However, the limited structural diversity of available ZBGs hampers drug discovery efforts targeting Zn-... read more 

Extending the Fundamental Theorem of Biomedical Informatics for the AI era.

Journal of the American Medical Informatics Association : JAMIA
BACKGROUND: Charles Friedman's Fundamental Theorem of Biomedical Informatics holds that a person working in partnership with an information resource outperforms that same person unassisted. Since its publication, advances in artificial intelligence (... read more 

Data-driven thresholds for standardized classification of severe Alzheimer's disease neuropathology using digital neuropathology.

Brain pathology (Zurich, Switzerland)
Alzheimer's disease neuropathological changes (ADNC)-operationalized with semi-quantitative parameters-represent the consensus-based gold standard for diagnostic evaluation of disease severity. Although useful, ADNC diagnostic frameworks have limitat... read more 

A coarse-to-fine restoration framework integrating deep semantic inpainting and texture-aware refinement for Jinling school landscapes.

Scientific reports
Traditional Chinese ink paintings on paper or silk are highly susceptible to degradation. Over time, physical decay such as creases not only damages the surface but also obscures the original brushwork. Virtual restoration, as a non-contact digital i... read more