AI Medical Compendium

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

Development and validation of a machine learning model predicting post-tonsillectomy hemorrhage.

European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery Jun 1, 2026

PURPOSE: To develop and validate machine learning models to predict post-tonsillectomy hemorrhage. METHODS: This was a machine learning analysis of a cohort of patients included in the Norwegian tonsil registry in Norway from 03.01.2017 to 01.05.2025... read more

The role of infrared thermography in thyroid nodule detection and classification: a scoping review.

European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery Jun 1, 2026

PURPOSE: To conduct a scoping review to assess the extent and type of evidence on the use of IRT as a diagnostic tool for thyroid nodule detection and classification. METHODS: This review followed the JBI Scoping Review methodology and included studi... read more

Fractal analysis in dentistry: a bibliometric analysis (1991-2024).

Oral radiology Jun 1, 2026

OBJECTIVES: This study aims to provide a comprehensive bibliometric mapping of the scientific evolution and research trends of fractal analysis (FA) in dentistry. RESULTS: The annual scientific production exhibited a dramatic surge post-2017, strongl... read more

Orbitofrontal cortex and amygdala as key regions for the classification of small animal phobia: A structural MRI machine learning study.

Cognitive, affective & behavioral neuroscience Jun 1, 2026

Small animal phobia (SAP) is an anxiety disorder characterized by an intense fear triggered by small animals. Existing studies on SAP have primarily used univariate analyses and small, unbalanced samples, leading to inconsistent findings. Many brain ... read more

Participatory Digital Twins for Chronic Care: From Predictive Models to Shared Sensemaking.

Journal of participatory medicine Jun 1, 2026

Health digital twins, computational models that integrate longitudinal data, simulation, and forecasting, are increasingly proposed as tools for chronic care management. Most current implementations, however, are expert-oriented, prioritizing technic... read more

Artificial Intelligence Medical Compendium