AI Medical Compendium

Large Language Models and Their Applications in Mental Health: Scoping Review.

JMIR mental health May 15, 2026

BACKGROUND: Large language models (LLMs) are poised to transform mental health care, offering advanced capabilities in diagnosis, prognosis, and decision support. Since their inception, numerous mental health-focused LLMs have emerged in the scientif... read more

Development, Implementation, and Preliminary Results of a Novel Social Network for Rare Disease Communities: Mixed Methods Study.

JMIR human factors May 15, 2026

BACKGROUND: Rare diseases affect approximately 20 million Europeans, presenting unique challenges such as delayed diagnoses, limited therapies, and significant personal and financial burden. While resilience-supporting factors such as peer support ar... read more

Using Digital Phenotyping for Depression Screening in Community-Dwelling Older Adults: Bayesian Multilevel Hurdle Model Machine Learning Approach.

JMIR AI May 15, 2026

BACKGROUND: With the rapidly aging population, mental health among older adults has received growing attention. Although the likelihood of experiencing depressive symptoms is higher in late adulthood, older adults are more reluctant to visit a clinic... read more

The association between artificial intelligence anxiety and occupational anxiety among emergency department healthcare workers.

International emergency nursing May 15, 2026

INTRODUCTION: While the integration of artificial intelligence (AI) into healthcare services has the potential to improve the quality of patient care and the efficiency of clinical processes, it can also lead to increased concerns among healthcare pr... read more

Authors reply: "Development and internal validation of machine learning in predicting prognosis of acute kidney injury patients in resource-limited setting".

Journal of critical care May 15, 2026

Understanding student mental health: An explainable pattern analysis approach.

Acta psychologica May 15, 2026

Student mental health is a growing global concern, with stress, nervousness, and related psychological challenges negatively affecting academic performance and overall well-being. Existing studies often rely on isolated variables or black-box predict... read more

Integrating spatial and single-cell transcriptomics via machine learning to characterize efferocytosis in hepatocellular carcinoma prognosis and immunotherapy.

Translational oncology May 15, 2026

BACKGROUND: The intratumoral heterogeneity and immunosuppressive microenvironment of hepatocellular carcinoma (HCC) significantly limit therapeutic efficacy. Although efferocytosis is fundamental for tissue homeostasis, its impact on the spatial arch... read more

Exposure to ambient PM2.5 constituents and semen quality in a retrospective cohort study: Windows of susceptibility and modification by greenness.

International journal of hygiene and environmental health May 15, 2026

BACKGROUND: Access to abundant greenness and avoiding exposure to ambient fine particulate matter (PM2.5) are known to be associated with favorable health outcomes. However, evidence remains limited regarding the windows of susceptibility to exposure... read more

Toward protocol simplification: Deep learning-based image synthesis in three-phase CT urography.

Computers in biology and medicine May 15, 2026

OBJECTIVE: The purpose of this study was to develop and evaluate a method for synthesizing 3D urothelial phase images in CTU examinations from the dual inputs of non-contrast and excretory phase images using a diffusion model integrated with a Swin t... read more

Divergent fates: Polystyrene microplastics alter trifloxystrobin degradation and microbial ecology differently in agricultural soil vs. river sediment.

Ecotoxicology and environmental safety May 15, 2026

This study investigates the effects of polystyrene microplastics (PS-MPs) on trifloxystrobin (TRI) degradation behavior and microbial community structure in agricultural soil and river sediment. Degradation kinetics and machine learning modeling (R2 ... read more

Artificial Intelligence Medical Compendium