Artificial Intelligence Medical Compendium

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

Showing 42,201 to 42,210 of 223,853 articles

TumorCLIP: Lightweight Vision-Language Fusion for Explainable MRI-Based Brain Tumor Classification

medRxiv
Accurate classification of brain tumors from MRI is critical for guiding clinical decision-making; however, existing deep learning models are often hindered by limited interpretability and pronounced sensitivity to hyperparameter selection, which con... read more 

Scalable Micro-Credentials for AI Literacy in Healthcare: An AI-Assisted Framework for Expert-Led Education

medRxiv
The rapid evolution of clinical guidelines and artificial intelligence has created a velocity gap in medical education, where traditional curricula frequently fail to keep pace with professional practice. Consequently, there is an urgent need for for... read more 

Automated Segmentation of Head and Neck Cancer from CT Images Using 3D Convolutional Neural Networks

medRxiv
Head and neck cancer (HNC) requires accurate tumor delineation for effective radiotherapy planning. Manual segmentation of tumor regions is time-consuming and subject to considerable inter-observer variability. Although several automated approaches h... read more 

Longitudinal immune transcriptomic signatures are associated with carotid intima-media thickness over 18 years

medRxiv
Background. Atherosclerosis is increasingly recognized as a chronic immunometabolic disorder involving complex interactions between circulating immune cells, metabolic factors, and the vascular wall. Carotid intima-media thickness (IMT) is widely use... read more 

Antenatal surveillance of placental function using a wearable near infrared spectroscopy device with machine learning data interpretation

medRxiv
Background Placental dysfunction remains a leading cause of stillbirth and neonatal morbidity, yet current monitoring tools provide only indirect and intermittent measures of fetoplacental wellbeing. Near infrared spectroscopy (NIRS) offers noninvasi... read more 

Comparative Evaluation of Logistic Regression and Gradient Boosting Models for Influenza Outbreak Early-Warning Using U.S. CDC ILINet Surveillance Data (2010-2025)

medRxiv
Background Timely detection of seasonal influenza outbreaks is critical for healthcare system preparedness and public health response. Although numerous studies have examined short-term influenza forecasting, fewer have operationalized prediction as ... read more 

AI is Smart. Is it Wise? Quantifying the Effect of Patient-Choice (β) on Physical Outcomes

medRxiv
Large language models (LLMs) increasingly guide clinical decisions through population-level evidence, yet they cannot encode individual patient preferences. When treatments yield comparable outcomes, patient choice may drive decisions, though its eff... read more 

Multi-Criteria Validation of LLM-Inferred Depression Severity from Outpatient Psychiatry Notes

medRxiv
Background: Longitudinal measurement of depression severity in outpatient psychiatric care is limited by infrequent standardized assessments. Although psychiatric clinical notes capture illness burden and functional impairment, this information is ra... read more 

Temporal Deep Learning for Predicting Periodontitis Progression Using Longitudinal Gingival Crevicular Fluid Protein Profiles

medRxiv
Background: Conventional clinical indicators of periodontitis progression detect disease after irreversible tissue destruction has occurred. Molecular biomarkers in gingival crevicular fluid (GCF) offer potential for earlier detection, but existing a... read more 

Application of large language models to the annotation of cell lines and mouse strains in genomics data

bioRxiv
Accurate, consistent and comprehensive metadata are essential for the reuse of functional genomics data deposited in repositories such as the Gene Expression Omnibus (GEO), however, achieving this often requires careful manual curation that is time-c... read more