AI Medical Compendium

A customised 3D U-Net model for bifid mandibular canal segmentation and detection on CBCT: a diagnostic accuracy study.

BMC oral health Apr 23, 2026

Geometry-aware graph attention networks to explain single-cell chromatin states and gene expression with SEAGALL.

Genome biology Apr 23, 2026

High-throughput single-cell sequencing is widely used to study cell identity. We present SEAGALL (Single-cell Explainable Geometry-Aware Graph Attention Learning pipeLine), a deep learning method to quantify the impact of molecular features on cellul... read more

Understanding undergraduate nursing students' learning journeys with artificial intelligence: a journey mapping study.

BMC medical education Apr 23, 2026

Unsupervised Agglomerative Cluster Phenotyping of Young Patients With Acute Coronary Syndrome Undergoing Percutaneous Coronary Intervention.

Catheterization and cardiovascular interventions : official journal of the Society for Cardiac Angiography & Interventions Apr 23, 2026

BACKGROUND: Young patients with acute coronary syndrome (ACS) exhibit diverse demographic, clinical and angiographic characteristics. We hypothesized that unsupervised machine learning (ML) can identify phenotypic clusters and predict the prognosis a... read more

SHAP-based interpretable machine learning with longitudinal delta-radiomics across seven weeks of treatment for xerostomia prediction in head-and-neck cancer.

Radiation oncology (London, England) Apr 23, 2026

Segmentation for pelvic malignancies in radiation oncology practice: a systematic review and meta-analysis protocol.

Systematic reviews Apr 23, 2026

BACKGROUND: Deep learning (DL)-based artificial intelligence (AI) models, the fourth generation in autosegmentation, have been adopted both for commercial and research applications worldwide and have shown great promise as reliable and comprehensive ... read more

Reconstruction of Under-Sampled Images and Concurrent Optimization of Sampling Masks for 3D Carotid Simultaneous Non-Contrast Angiography and intraPlaque Hemorrhage MRI With Model Based Deep Learning Architecture (deepSNAP).

Magnetic resonance in medicine Apr 23, 2026

PURPOSE: To improve the imaging efficiency of 3D carotid simultaneous noncontrast angiography and intraplaque hemorrhage (SNAP) MRI by reconstruction of under-sampled images and concurrent optimization of sampling masks for the two shots of SNAP resp... read more

Gene-level gut microbiome signatures as predictive biomarkers for response to immune checkpoint inhibitors across multiple cancer types.

Gut microbes Apr 23, 2026

Targeting programmed cell death protein 1 (PD-1) and cytotoxic T-lymphocyte-associated protein 4 (CTLA-4) with immune checkpoint inhibitors (ICIs) has improved survival across multiple cancer types, but the variability in patient response highlights ... read more

Explainable Ensemble Machine Learning for Predicting Injury Severity in Agricultural Accidents.

Journal of agromedicine Apr 23, 2026

OBJECTIVES: Agricultural injuries remain a leading occupational hazard, causing substantial human and economic losses worldwide. This study aimed to predict agricultural injury severity using linear and ensemble machine learning (ML) models, while en... read more

Large Language Models for Cardiac MRI Diagnosis Based on Standardized Text Descriptions.

Journal of magnetic resonance imaging : JMRI Apr 23, 2026

BACKGROUND: MRI is important for cardiac disease evaluation, but accurate diagnosis remains challenging in less experienced centers. Although large language models (LLMs) have shown promise in medical imaging diagnosis, their application in cardiac M... read more

Artificial Intelligence Medical Compendium