AI Medical Compendium

Identification of Key Microbial Signatures Associated With Breast Cancer: Machine Learning-Based Approaches Using Gut Microbiome Data.

Cancer medicine Jun 1, 2026

BACKGROUND: Breast cancer (BC) is one of the most common types of cancer incidence and mortality rates among women all over the world. Limitations in existing diagnostic methods, especially in low- and middle-income countries, require novel, noninvas... read more

Machine learning in tissue engineering: a comprehensive review of applications, challenges, and prospects.

Journal of biomaterials science. Polymer edition Jun 1, 2026

Tissue engineering, rooted in cell biology and materials science, focuses on repairing or replacing injured tissues and organs, offering groundbreaking solutions in regenerative medicine. Although progress has been made in scaffold design, growth fac... read more

Overrepresentation Bias Leads to Performance Overestimation in Blood-Brain Barrier Permeability Prediction Models: Characterization and Mitigation.

Journal of chemical information and modeling Jun 1, 2026

Recent advancements in blood-brain barrier permeability (BBBP) prediction of drug compounds have highlighted the growing role of machine learning, particularly deep learning. While considerable attention has been given to feature engineering and mode... read more

Artificial Intelligence for the Diagnosis of Pancreatic Diseases Using Endoscopic Ultrasonography.

Digestive endoscopy : official journal of the Japan Gastroenterological Endoscopy Society Jun 1, 2026

Artificial intelligence (AI) is rapidly being applied to medical imaging; however, the evidence base for endoscopic ultrasonography-based AI (EUS-AI) remains limited. We conducted a structured literature search (PubMed, Embase, and the Cochrane Libra... read more

Automated Centerline Extraction From Meshed Vascular Models.

International journal for numerical methods in biomedical engineering Jun 1, 2026

Centerlines of vascular structures are essential for the analysis of vascular anatomy as well as the development of computational models for simulating biomechanics. In this paper, we present a centerline extraction framework for vascular geometries ... read more

Impact of AI-based Slab Reconstruction Technology on the Diagnostic Accuracy of Screening Digital Breast Tomosynthesis.

Radiology Jun 1, 2026

Background Digital breast tomosynthesis (DBT) uses 1-mm slices, resulting in a larger number of images and longer interpretation times than conventional digital two-dimensional mammography. Slab reconstruction technologies address this challenge by g... read more

AI-based Histologic Heterogeneity of Microvascular Obstruction at Cardiac MRI for Predicting MACEs: A Multicenter Study.

Radiology Jun 1, 2026

Background Microvascular obstruction (MVO) is strongly associated with adverse outcomes after ST-segment elevation myocardial infarction (STEMI). However, manual quantification of MVO is time-consuming and fails to capture the heterogeneity of microv... read more

Bayesian hyper-parameter optimization of physics-informed neural networks to a nonlocal nonlinear Schrödinger equation.

Chaos (Woodbury, N.Y.) Jun 1, 2026

In previous applications of a physical information neural networks (PINN) algorithm, the adjustment of hyper-parameter combinations for neural networks has predominantly been conducted manually. This manual configuration strategy often suffers from i... read more

Pattern dynamics and practical application of infectious disease reaction-diffusion systems based on higher-order networks and physics-informed neural networks.

Chaos (Woodbury, N.Y.) Jun 1, 2026

Traditional epidemic models have limitations in capturing spatial heterogeneity, describing population-oriented migration, and integrating real data. This study constructs reaction-diffusion and reaction-advection-diffusion systems based on higher-or... read more

Generative Artificial Intelligence in the Lives of Young Adults: Exploring Motivations and Mental Health.

The Journal of adolescent health : official publication of the Society for Adolescent Medicine Jun 1, 2026

PURPOSE: Young people have rapidly adopted generative artificial intelligence (genAI) technology, yet little is known about how genAI use relates to mental health. This observational study examined associations between genAI use motivations-social-em... read more

Artificial Intelligence Medical Compendium