Rapid and accurate identification of bacterial infections and their resistance to antibiotics is critical to effective clinical decision-making and combating antimicrobial resistance. However, current diagnostic approaches are typically segmented: te... read more
BACKGROUND: The exponential growth of medical knowledge presents a paradox for modern medical education. While access to information is immediate, applying it in a clinically meaningful way remains a challenge. Large language models (LLMs), such as C... read more
Journal of chemical information and modeling
Mar 17, 2026
The accurate identification of cytochrome P450 (CYP) substrates is crucial in drug discovery and safety assessment, as these enzymes mediate the metabolism of most clinical drugs. However, existing computational models are often limited by data quali... read more
The bird cherry-oat aphid, Rhopalosiphum padi (Linnaeus; Hemiptera: Aphididae), is a major cereal pest and a vector within the barley yellow dwarf virus complex. Manual scouting is labor-intensive and can be inconsistent, motivating rapid, image-base... read more
Journal of the American Academy of Orthopaedic Surgeons. Global research & reviews
Mar 17, 2026
INTRODUCTION: MRI is commonly used to evaluate pelvic musculoskeletal infections. Limited "quick" MRI protocols enable timely imaging without intravenous contrast or sedation. This study examines the consistency of interpretation among pediatric orth... read more
Journal of the American Academy of Orthopaedic Surgeons. Global research & reviews
Mar 17, 2026
INTRODUCTION: Despite growing enthusiasm for artificial intelligence (AI) implementation in orthopaedic care, patient attitudes toward AI adoption remain unexplored. This study assesses patient perceptions of AI integration in diagnosis, treatment, a... read more
BACKGROUND: Understanding interindividual variability in treatment response and toxicity is essential for optimizing outcomes in pediatric acute lymphoblastic leukemia (ALL). Molecular and pharmacogenetic markers hold promise in predicting treatment ... read more
Background: Radiotherapy (RT) is a cornerstone of multimodal treatment for rectal cancer (RC); yet, substantial interindividual variability in treatment response persists. Deep learning (DL)-based radiomics offers potential for pre-RT response predic... read more
Computers, informatics, nursing : CIN
Mar 17, 2026
Recent advancements in artificial intelligence, telehealth, and sensor technologies have fundamentally transformed health care, creating an urgent need to update and revise nursing informatics competencies for pre-licensure education. The purpose of ... read more
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