AI Medical Compendium

An Integrated Clinical-Histopathologic Prediction Model for Cardiac Allograft Rejection: Translating Machine Learning into Clinical Risk Frameworks.

The Journal of heart and lung transplantation : the official publication of the International Society for Heart Transplantation May 1, 2026

BACKGROUND: Cardiac allograft rejection (CAR) remains the leading cause of early graft failure after heart transplantation (HT). Current diagnostics, including histologic grading of endomyocardial biopsy (EMB) and blood-based assays, lack accurate pr... read more

Comment On: "External validation of an artificial intelligence-based model for retinopathy of prematurity screening using Phoenix ICON retinal images".

Journal of AAPOS : the official publication of the American Association for Pediatric Ophthalmology and Strabismus May 1, 2026

OCT biomarkers in patients with diabetic macular edema treated with dexamethasone implant.

Survey of ophthalmology May 1, 2026

Beyond conventional OCT-based morphological classifications of diabetic macular edema (DME), an expanding range of OCT-derived biomarkers has been identified that reflect distinct pathophysiological mechanisms and may carry diagnostic, prognostic, an... read more

Reply to: Beyond AUC: Advancing clinical interpretability of depression-MRI-machine learning analyses in Alzheimer's disease.

Alzheimer's & dementia : the journal of the Alzheimer's Association May 1, 2026

Educating older adults to use technologies for health management in social settings: perspectives of older adults and community workers.

BMC geriatrics May 1, 2026

BACKGROUND: With the acceleration of global aging, the potential of digital technologies for self-care management among older adults has surged. Older adults often face numerous difficulties and challenges when seeking health information, including i... read more

When does global attention help: a unified empirical study on atomistic graph learning.

Journal of cheminformatics May 1, 2026

Graph neural networks (GNNs) are widely used as surrogates for costly experiments and first-principles simulations to study the behavior of compounds at atomistic scale, and their architectural complexity is constantly increasing to enable the modeli... read more

Implementing Generative AI in Pharmacy Experiential Education: A Practical Guide for Preceptors.

Journal of the American College of Clinical Pharmacy : JACCP May 1, 2026

Pharmacy preceptors are central to experiential learning, yet there is a lack of guidance on how to integrate generative artificial intelligence (GenAI) into precepting. This paper serves as a practical "how-to" resource, offering actionable strategi... read more

Automatic Mediation Analysis Under Measurement Error Via Bayesian Machine Learning.

Multivariate behavioral research May 1, 2026

This paper considers the problem of causal mediation analysis (CMA) when the outcome, mediator, or both are modeled as latent variables that are measured with error from multiple indicators. Traditional structural equation modeling approaches rely on... read more

Beyond Linear Risk: A Machine Learning Approach to Understanding Perinatal Depression in Context.

Multivariate behavioral research May 1, 2026

The goal of this study was to investigate the contextual nature of prenatal depression (PND) and postpartum depression (PPD). We report an investigation of maternal PND and PPD using nonrandomly clustered data from 8,936 mothers in 16 cohorts in the ... read more

Solution-Tunable Interfacial Interaction Landscape Governs Anomalous Nanoparticle Diffusion in Liquid-Phase Electron Microscopy.

ACS nano May 1, 2026

Understanding how nanoparticles move near liquid-solid interfaces is central to nanoscale transport in catalysis, biology, and soft materials. Here, we uncover the physical mechanisms governing anomalous surface diffusion of PEG-coated gold nanorods ... read more

Artificial Intelligence Medical Compendium