AI Medical Compendium

Patients and Caregivers Leveraging AI to Improve Their Health Care Journey: Case Study and Lessons Learned.

Journal of participatory medicine Feb 20, 2026

Artificial intelligence (AI) is increasingly integrated into everyday life. Yet in health care, patients and families are challenged to understand how AI may be helpful. As a result, real-world patient stories remain scarce. Generative AI can serve a... read more

Performance of Large Language Models in the Japanese Public Health Nurse National Examination: Comparative Cross-Sectional Study.

JMIR nursing Feb 20, 2026

BACKGROUND: Large language models (LLMs) have shown promising results on Japanese national medical and nursing examinations. However, no study has evaluated LLM performance on the Japanese Public Health Nurse National Examination, which requires spec... read more

Antimicrobial resistance gene diversity, prevalence, and mobility within four landfills.

Canadian journal of microbiology Feb 20, 2026

Antibiotics in landfills create selection pressures on the microorganisms present, selecting for antibiotic resistance genes (ARGs) and antibiotic resistant organisms (ARO). The aim of this study was to assess whether landfills are hot-spots of antim... read more

Co-Designed Mental Health Screening App (Here for You) for University Students: Pilot Feasibility Mixed Methods Study.

JMIR formative research Feb 20, 2026

BACKGROUND: Mental health disorders are a growing public health concern among university students globally and in India, exacerbated by stigma and limited access to care. Mobile health (mHealth) apps offer a potential solution, but user engagement an... read more

Ensemble Machine Learning Models for Predicting Patients With High Usage: Model Validation and Economic Impact Analysis.

JMIR medical informatics Feb 20, 2026

BACKGROUND: Machine learning models are increasingly used to predict patients at risk of high health care usage for targeted interventions. OBJECTIVE: This study aimed to evaluate the predictive performance of multiclass ensemble models across differ... read more

How strategic engagement with programs drives neurosurgery match success.

Journal of neurosurgery Feb 20, 2026

OBJECTIVE: As the neurosurgery residency application process grows increasingly reliant on strategy, applicants must weigh relationship-building efforts against academic metrics. This study evaluated how program-specific engagement influences match o... read more

Experiences With Integrating Medical Terminologies Into User Interfaces for a Decision Support System for Primary Care: Conceptual and Development Study.

JMIR medical informatics Feb 20, 2026

BACKGROUND: Clinical decision support systems (CDSSs) have shown promise in improving diagnosis in primary care, particularly for chronic diseases. The SATURN (Smart Physician Portal for Patients With Unclear Disease) project developed a CDSS prototy... read more

A Novel Relative Distance Protein Fingerprint Algorithm for Searching DNA Mimic Proteins.

IEEE transactions on computational biology and bioinformatics Feb 20, 2026

DNA mimic proteins are relatively obscure control factors that resemble DNA by mimicking its negatively charged distribution. They achieve this using negatively charged amino acids like aspartic acid (ASP/D) and glutamic acid (GLU/E). Known DNA mimic... read more

Transformer-based architectures in MRI brain tumor segmentation: A review.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Feb 20, 2026

Transformers have been actively utilized in the deep learning field recently. Vision Transformer (ViT), as one of its important applications in the computer vision field, exhibits significant promise for automatic glioma MRI image segmentation. As th... read more

A perturbed multilayer perceptron approach to predicting distant metastatic sites of cancer patients.

Computational biology and chemistry Feb 20, 2026

Cancer metastasis accounts for about 90% of cancer-related mortality, but is difficult to predict. In particular, distant metastasis is more difficult to predict by a learning method than lymph node metastasis due to the limited amount of data availa... read more

Artificial Intelligence Medical Compendium