Artificial Intelligence Medical Compendium

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

Showing 1,421 to 1,430 of 213,568 articles

Artificial Intelligence Applications in Antimicrobial Resistance: Comprehensive Review of Predictive Models, Diagnostic Innovations, and Clinical Integration.

Microbial drug resistance (Larchmont, N.Y.)
Antimicrobial resistance (AMR) represents a critical global health crisis, driving increased mortality, treatment failure, and economic burden. Artificial intelligence (AI) offers transformative potential to counter this threat by enhancing detection... read more 

A flexible rank-based framework for individualized treatment selection with mixed-type multivariate outcomes.

Statistical methods in medical research
Personalized treatment selection is often based on a single primary endpoint, even though complex diseases are typically monitored using multiple, heterogeneous outcomes. We develop a rank-based framework for individualized treatment selection that a... read more 

Does AI know how to choose wisely? Do not trust and definitely verify when using generative AI in stewardship operations.

Infection control and hospital epidemiology
Antimicrobial stewardship programs (ASP) serve as a valuable resource to healthcare institutions. This commentary explores a real world demonstration of the potential advantages and pitfalls of using artificial intelligence (AI) in ASP, both in suppo... read more 

Protein engineering: Status report.

Protein engineering, design & selection : PEDS
With this status report, we aim to provide a timely snapshot of the protein engineering field as a broad and rapidly advancing discipline that integrates computational, molecular biology, structure-guided, evolutionary, and synthetic approaches to cr... read more 

Truth, tone, and trust: integrating an AI exercise to foster responsible science communication in a graduate biomedical science course.

Journal of microbiology & biology education
As generative AI becomes a standard fixture in graduate education, the pedagogical challenge has shifted from detection to integration. This article describes a curriculum intervention developed for Anatomy of Scientific Error, a graduate-level cours... read more 

Precision Pedagogy in Anatomy Education: Integrating AI, Narrative Medicine, and Professional Stratification.

Clinical anatomy (New York, N.Y.)
The aim of this study was to investigate the effects of an AI-Narrative-Stratified (ANS) model and traditional anatomy education on academic mastery and clinical reasoning. The study included 254 students who were cluster-randomized into two groups. ... read more 

An end-to-end deep learning pipeline for urban noise monitoring with spatiotemporal analysis.

Scientific reports
Urban noise pollution is a critical public health problem affecting millions of people around the world. Current acoustic monitoring systems largely focus on optimizing classification accuracy but fail to meet operational requirements such as calibra... read more 

Cross-material physics-informed machine learning framework for optimizing nanofiller loading in epoxy nanocomposites for high-voltage insulation.

Scientific reports
Epoxy-based nanocomposites are promising solid insulation materials for high-voltage applications because of their high dielectric strength, mechanical robustness, and processability. However, identifying the optimal nanofiller loading that maximizes... read more 

Development and multicenter validation of an AI-driven detection system for DLBCL cells in bone marrow smears.

Scientific reports
The presence of diffuse large B-cell lymphoma (DLBCL) cells in bone marrow (BM) smears is recognised as a key morphological basis for diagnosing BM involvement by DLBCL. BM involvement directly affects disease staging, treatment strategies, and progn... read more 

Multi-omics prediction for yellow rust in bread and durum wheat through conventional and Ai-based frameworks.

Scientific reports
Yellow rust (YR) is a major threat to both bread and durum wheat production, often causing substantial yield losses. Conventional visual scoring of YR severity, while widely adopted, is labor-intensive, time-consuming, and prone to human error. In th... read more