Artificial Intelligence Medical Compendium

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

Showing 40,971 to 40,980 of 223,737 articles

Single-Cell Nanomotion and Machine Learning for Parallel Bacterial Identification and Antibiotic Screening.

ACS sensors
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 

Integrating Large Language Models Into Trauma Education for Medical Students: Randomized Controlled Pilot Trial.

JMIR medical education
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 

EviCYP: In Silico Prediction of Cytochrome P450 Substrates Based on Vector Quantization and Evidential Deep Learning.

Journal of chemical information and modeling
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 

YOLO11-based deep learning and machine vision framework for automated detection and counting of Rhopalosiphum padi (Hemiptera: Aphididae).

Journal of economic entomology
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 

Accuracy of Diagnosis and Anticipation of Future Treatment in Pediatric Peripelvic Infections: The Role of Multisurgeon Review and Implications for Future Machine Learning Algorithms.

Journal of the American Academy of Orthopaedic Surgeons. Global research & reviews
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 

Patient Perceptions of Artificial Intelligence in Orthopaedic Surgery: Identifying Potential Barriers to Acceptance and Disparities With Implementation.

Journal of the American Academy of Orthopaedic Surgeons. Global research & reviews
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 

Molecular and Pharmacogenetic Marker Evaluation in Relation to the Toxicity and Clinical Response of Acute Lymphoblastic Leukemia Treatment in Indian Children (MPGx-INDALL): Protocol for a Prospective Observational Cohort Study.

JMIR research protocols
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 

Rectal Cancer Radiotherapy Response Prediction: Retrospective Study of Development of a Deep Learning-Based Radiomics Model.

JMIR medical informatics
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 

Inflection Point: Artificial Intelligence, Digital Health, and the Evolution of Pre-Licensure Nursing Informatics Competencie.

Computers, informatics, nursing : CIN
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