AI Medical Compendium

Beyond literacy to clinical competency: A framework for integrating generative AI into nursing education.

Nurse education today Apr 3, 2026

PROBLEM: Health systems are rapidly integrating generative artificial intelligence (GenAI) into clinical workflows, introducing safety risks including hallucinations and automation bias. These risks threaten patient safety when frontline nurses lack ... read more

Predictive models for ICU patient readmission based on machine learning: A systematic review.

Journal of the Intensive Care Society Apr 3, 2026

BACKGROUND: Artificial intelligence (AI) prediction models can accurately identify high-risk populations by integrating multi-dimensional clinical data, providing decision support for doctors in formulating individualized discharge plans and optimizi... read more

Disposable face masks and PBDEs in aquatic environments: Co-contamination and impacts.

Water research Apr 3, 2026

Disposable face masks have emerged as a widespread source of post-COVID contamination in aquatic environments, particularly in coastal and nearshore waters. However, their capacity to interact with co-occurring contaminants has received limited atten... read more

An enhanced framework for Parkinson's disease severity prediction using improved optimization in multi-scale TCN.

Computational biology and chemistry Apr 3, 2026

RESEARCH BACKGROUND: Parkinson's Disease (PD) requires accurate severity prediction models for enabling efficient treatment planning and disease management. The recent improvements in deep learning have shown promising results while predicting PD sev... read more

Multimorbidity and major adverse cardiovascular events in antipsychotic users: Time-to-event prediction by explainable machine learning.

iScience Apr 3, 2026

Antipsychotic treatment is associated with higher risk of major adverse cardiovascular events (MACEs), and risk may vary by multimorbidity and concomitant medications. Using Hong Kong electronic health records, we followed 26,274 MACE-free adults (18... read more

From pollutant profiling to source attribution: An interpretable staged machine learning framework for sewer surveillance.

Journal of hazardous materials Apr 3, 2026

Illicit industrial discharges into urban sewer networks pose a severe threat to water security, yet source tracking is hindered by data scarcity within the network and model opacity. This study developed an interpretable framework for pollutant profi... read more

From predictive accuracy to clinical utility: Model interpretability and the missing bone mineral density data.

Injury Apr 3, 2026

This letter to the editor commends the study by Liu et al. on their machine learning model for predicting rib fractures but highlights two crucial challenges for its clinical adoption: the lack of model interpretability, which hinders clinical trust,... read more

Clinical decision support system for breathlessness.

Current opinion in supportive and palliative care Apr 3, 2026

PURPOSE OF REVIEW: This review summarizes high-level evidence on clinical decision support systems, both more classical rules-based and emerging artificial intelligence-based examples. It discusses their potential and concerns, how to evaluate them a... read more

Reproducible orchestration of best practices for reaction path optimization with the nudged elastic band.

MethodsX Apr 3, 2026

The nudged elastic band (NEB) method is the standard approach for finding minimum energy paths and transition states on potential energy surfaces. Practical NEB calculations require several pre-processing steps: endpoint minimization, structural alig... read more

A fully homomorphic encryption federated learning architecture for privacy preserving in industrial internet of things.