Artificial Intelligence Medical Compendium

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

Showing 9,091 to 9,100 of 208,441 articles

Evaluating the Potential of Reasoning Large Language Models to Perpetuate Racial and Gender Disease Stereotypes in Health Care.

Journal of medical Internet research
This evaluation of 36,000 clinical vignettes found that next-generation reasoning large language models, o3-mini and DeepSeek-R1, frequently perpetuate racial and gender stereotypes for common medical conditions, indicating that advancements in reaso... read more 

Multitask Learning Reveals Shared Descriptors Governing Activity and Selectivity in Catalytic Nitrate Reduction.

Environmental science & technology
Catalytic nitrate reduction (CNR) is a promising technology for nitrate removal in water treatment, but catalyst development remains largely empirical and constrained by a persistent trade-off between reaction rate and ammonium formation. Here, we de... read more 

Ambient AI Scribes to Create Educational Feedback Notes for Medical Students: Randomized Trial.

JMIR medical education
BACKGROUND: High-quality observation and feedback contribute to the development of clinical competence and professional growth in medical education. Faculty often struggle to translate verbal observations into written feedback because of documentatio... read more 

Oropharyngeal cancer management in the era of artificial intelligence for optimal decision-making.

Brazilian journal of otorhinolaryngology
OBJECTIVE: To assess the accuracy of AI systems in informing clinical decision-making processes for the management of oropharyngeal malignancies. METHODS: Structured inquiries derived from established clinical recommendations for oropharyngeal cancer... read more 

AI in Lung Nodules on Chest CT: Retrospective, Real-World Assessment of AI in Clinical Practice.

JMIR formative research
An FDA-cleared artificial intelligence tool demonstrated frequent discordance with radiologist reports for lung nodule assessment on chest CT. read more 

Advancing Alzheimer Disease Prediction With Large Language Model-Based Linguistic Feature Analysis: Development and Validation Study.

JMIR medical informatics
BACKGROUND: Alzheimer disease (AD) is a progressive neurodegenerative disorder with rapidly growing global prevalence. Early detection is critical for timely intervention; yet, conventional diagnostic methods remain costly and invasive. Speech-based ... read more 

Harnessing theoretical neuroscience to understand decision-making across aging.

Current opinion in neurobiology
Understanding how decision-making changes across the lifespan is a central challenge for neuroscience, yet research on cognitive aging remains largely disconnected from the theoretical and computational advances shaping modern systems neuroscience. O... read more 

Translating transcriptomics analysis into diagnostic workflows: clinical variant identification and interpretation in hypothesis-driven and hypothesis-free approaches.

EBioMedicine
BACKGROUND: Despite significant advancements in genetic diagnosis, there are still bottlenecks in DNA-level testing. Challenges to diagnosis include the inability to identify the causal variant, and the lack of functional evidence leading to an accum... read more 

PGFD-YOLO: A dual-modal object detection framework with progressive gated fusion and foreground-guided distillation.

Journal of environmental management
Effective waste classification is essential for improving resource recovery and reducing landfill burden. However, existing methods predominantly rely on single RGB imaging, which is insufficient for distinguishing overlapping, transparent, or simila... read more