AI Medical Compendium

Single-cell and bulk omics uncover fibroblast heterogeneity and HSPH1 as a key driver in Barrett's esophagus to esophageal adenocarcinoma progression.

Cancer cell international May 10, 2026

BACKGROUND: Esophageal adenocarcinoma (EAC) is a highly aggressive malignancy with poor prognosis, often evolving from Barrett's esophagus (BE). Understanding the molecular mechanisms driving this progression is critical for identifying diagnostic bi... read more

Beyond binary AKI classification: development and external validation of a distributional model predicting serum creatinine and urine output trajectories in ICU patients.

Critical care (London, England) May 10, 2026

BACKGROUND: Acute kidney injury (AKI) is a frequent, severe complication in the intensive care units (ICU). Existing machine learning models are typically inflexible, classification-based (i.e., predicting AKI occurrence as yes/no), and of limited cl... read more

Unveiling the Microvasculature: The Index of Microcirculatory Resistance and Its Expanding Role in Cardiovascular Care.

Catheterization and cardiovascular interventions : official journal of the Society for Cardiac Angiography & Interventions May 10, 2026

Index of microcirculatory resistance (IMR) is a cutting-edge, wire-based tool that advances the capability assessment of coronary microvascular function. By utilizing distal coronary pressure and mean transit time under maximal hyperemia, IMR deliver... read more

Genomic variation drives plant flavor diversification.

Journal of integrative plant biology May 10, 2026

Plant flavor diversity arises from genomic variation across species and cultivars, yet the mechanisms linking natural genomic variation to flavor-related phenotypes remain insufficiently integrated. Here, we systematically review how diverse forms of... read more

Mamba-Based Deep Learning Model for Automated Periapical Index Classification Using Periapical Radiographs and Clinical Metadata.

International endodontic journal May 10, 2026

AIM: Apical periodontitis (AP) diagnosis primarily relies on periapical radiographs (PRs) and the Periapical Index (PAI) scoring system. However, existing automated approaches often simplify PAI into binary categories or ignore essential clinical met... read more

Using locally-hosted Small Language Models (SLMs) to protect student, patient and research subject data in Health Professions Education.

Medical teacher May 10, 2026

WHAT WAS THE EDUCATIONAL CHALLENGE?: Cloud-based Large Language Models (LLMs) are being increasingly used for Health Professions Education (HPE) teaching and research. A major concern is data privacy, resulting in a potential exposure of student, pat... read more

Disentangling the Network Structure of Online Social Support: A Multilayer Network Analysis of a Twitter Long COVID Community.

Health communication May 10, 2026

Online social support has been shown to be an important resource for people experiencing chronic illnesses. Although numerous studies have examined online support communities, few have conducted in-depth analyses grounded in social network theory and... read more

Four Directions, One Solution: Enabling Rapid Diffusion Tensor MRI for Ultra-Low Field Using Deep Learning.

Magnetic resonance in medicine May 10, 2026

PURPOSE: This study revisits the tetrahedral encoding strategy originally proposed to accelerate Diffusion Tensor Magnetic Resonance Imaging (DT-MRI) by reducing the requisite number of diffusion-weighted measurements to four. We examine its practica... read more

An Interpretable Deep-Learning Approach for Efficient CEST Parameter Quantification: Importance-Ranked Saturation Transfer MRI Protocol.

Magnetic resonance in medicine May 10, 2026

PURPOSE: An optimal design of saturation-transfer MR fingerprinting (ST-MRF) sequences is essential to accelerate imaging and improve tissue quantification accuracy. This study aims to develop an interpretable deep-learning framework, importance-rank... read more

Interpretable machine learning with SHAP analysis identifies redox-modulating dietary antioxidants for predicting accelerated biological aging.

Experimental gerontology May 10, 2026

BACKGROUND: Aging is a complex biological process characterized by progressive functional decline across multiple physiological systems, and biological age provides a more accurate reflection of an individual's aging status than chronological age. Di... read more

Artificial Intelligence Medical Compendium