AI Medical Compendium

Multicentre prospective cohort study to develop and validate a machine learning-based model for predicting 6-month all-cause mortality in elderly patients with advanced chronic obstructive pulmonary disease in China: study protocol.

BMJ open May 26, 2026

INTRODUCTION: Chronic obstructive pulmonary disease (COPD) has an unpredictable clinical course, causing difficulties in short-term mortality prediction, overtreatment and delayed palliative care. Existing prediction models are limited and lack appli... read more

Explainability in context: calibrating appropriate trust and reliance in artificial intelligence.

Journal of the American Medical Informatics Association : JAMIA May 26, 2026

BACKGROUND AND SIGNIFICANCE: Predictive artificial intelligence (AI) promises to transform care delivery, enhance patient safety, and improve health outcomes. Realizing these benefits will require careful design, implementation, and monitoring strate... read more

A topological fingerprint encodes motor skill at rest.

The Journal of neuroscience : the official journal of the Society for Neuroscience May 26, 2026

In this study, we investigated whether the architecture of brain interactions at rest maintains a representation of individual behavioral skills. Specifically, we aimed to identify a minimal set of topological features that capture an electrophysiolo... read more

Diagnostic Performance of General Practitioners in Carotid Plaque Detection Using AI-Enhanced Point-of-Care Ultrasound After Systematic Training.

Annals of family medicine May 26, 2026

PURPOSE: While point-of-care ultrasound (POCUS) has been integrated into daily practice by general practitioners (GPs) in some countries, there is a paucity of literature documenting its use by Chinese GPs. Additionally, artificial intelligence (AI)-... read more

Toward explainable and generalizable data-driven modeling in real wastewater treatment plants: Utilizing bidimensional interpretable deep learning and cross-scenario transfer learning.

Journal of environmental management May 26, 2026

Data-driven models have increasingly been used as useful tools for process simulation in urban wastewater treatment plants (WWTPs), but their lack of interpretability and limited generalization hinder their application in practical engineering scenar... read more

The 'neat' and 'messy' in task-dependent neural geometry and computation.

Trends in neurosciences May 26, 2026

To solve diverse real-world tasks, the brain must flexibly switch between task rules and adjust computations. Recent advances in analyzing neural data and modeling neural networks have revealed their 'neat' features: neuronal population activity enco... read more

Metabolic Health is Highly Predictive of Chronic Pain Among Non-Obese Adults: Evidence from the NHANES and CHARLS Studies.

Pain management nursing : official journal of the American Society of Pain Management Nurses May 26, 2026

OBJECTIVE: To investigate the predictive value of the estimated glucose disposal rate (eGDR) for chronic pain (CP) and to evaluate its consistency as a metabolic biomarker across diverse populations. DESIGN: A cross-sectional and retrospective cohort... read more

The Impact of Artificial Intelligence on Radiology Specialty Preferences Among Canadian Medical Students and Residents.

Academic radiology May 26, 2026

RATIONALE AND OBJECTIVES: Artificial intelligence (AI) is playing an increasingly significant role in radiology While prior studies examined medical student perceptions of AI, they predate recent advances and don't capture resident perspectives. This... read more

Synthetic computed tomography of the head from magnetic resonance imaging based on latent diffusion model.

Academic radiology May 26, 2026

RATIONALE AND OBJECTIVES: Magnetic resonance imaging (MRI) is widely used in head scans. However, MRI lacks electron density information, which is inherent to computed tomography (CT). This study aimed to synthesize head CT from MRI using latent diff... read more

Machine Learning Model Predicts Clinical Adverse Events of Small Molecule Kinase Inhibitors in Cancer Patients Using On-/Off-Target Engagement and Tissue Selectivity.

Clinical pharmacology and therapeutics May 26, 2026

Adverse events (AEs) of small molecule kinase inhibitors (SMKIs) at therapeutic doses in cancer patients are largely unpredictable in phase I-III studies and clinical use, despite extensive preclinical toxicity testing under good laboratory practice ... read more

Artificial Intelligence Medical Compendium