AI Medical Compendium

Enhancing Early Prediction of Gestational Diabetes Mellitus Through Data Augmentation and Feature Guidance: Model Development and Validation Study.

JMIR medical informatics May 25, 2026

BACKGROUND: Early prediction of gestational diabetes mellitus (GDM) is critical for improving maternal health outcomes. However, predictive models are often challenged by limited early-pregnancy samples, severe class imbalance in datasets, and comple... read more

Artificial Intelligence-Based Approach for Determining the Risk of Temporomandibular Disorders.

Journal of oral rehabilitation May 25, 2026

OBJECTIVES: This study aims to predict TMD using ML approaches based on clinical and sociodemographic variables to aid in the early detection and risk assessment. METHODS: The study was on patients with and without TMD who met the inclusion criteria ... read more

An In-Hospital Mortality Risk Model for Patients Undergoing Coronary Artery Bypass Grafting Based on Machine Learning: Cohort Study.

JMIR formative research May 25, 2026

BACKGROUND: Ischemic heart disease remains the leading cause of death worldwide. Coronary artery bypass grafting (CABG) remains the primary surgical treatment for ischemic heart disease. There is currently a lack of highly accurate and widely applica... read more

Comparative analysis of AI and human radiographer performance in radiographic image assessments: A pilot study using a large language model to simulate radiographer decision-making.

Journal of medical imaging and radiation sciences May 25, 2026

INTRODUCTION/BACKGROUND: To determine whether a prompting-based, interpretable artificial intelligence (AI) system, specifically a large language model (LLM) that applies structured radiographic criteria derived from radiographer training, can approx... read more

Whole-body reduced-dose dual-energy CT with deep learning image reconstruction for detection of osteolytic lesions in multiple myeloma.

Radiography (London, England : 1995) May 25, 2026

INTRODUCTION: Deep learning image reconstruction (DLIR) has been incorporated into dual-energy CT (DECT) to improve image quality. However, its applications in reduced-dose DECT for evaluating multiple myeloma remain unclear. This study aimed to eval... read more

Explainable Artificial Intelligence in Dentistry: A Systematic Review of Its Trust and Translation.

International dental journal May 25, 2026

INTRODUCTION AND AIMS: Explainable artificial intelligence (XAI) is a set of methods and processes that make the decisions of artificial intelligence (AI) models understandable to those who are not conversant with the technology. This "black box" nat... read more

Surrogate-based optimization of land-use-informed LID strategies for enhanced urban flood resilience.

Journal of environmental management May 25, 2026

Urban flooding, driven by rapid urbanization and climate change, poses a critical challenge to resilient urban development. Although low-impact development (LID) practices are effective for mitigating flood hazards, identifying optimal LID combinatio... read more

Quantifying the differential climate responses of compound soil erosion by an integrated conceptual-machine learning framework.

Journal of environmental management May 25, 2026

Global warming is intensifying soil degradation in vulnerable ecosystems worldwide, and dry-hot valleys have become critical erosion hotspots under changing climatic conditions. However, systematic assessment of erosion types and their controlling fa... read more

The association between generative artificial intelligence use and foreign language classroom anxiety.

Acta psychologica May 25, 2026

This study examines the association between Generative Artificial Intelligence use and foreign language classroom anxiety (FLCA) among undergraduates in an under-resourced private university in Western China. Data were collected from 630 first- and s... read more

Development and Validation of the AI Health Acceptability Evaluation (AI-HAE) in Older Adults.

Computers, informatics, nursing : CIN May 25, 2026

Artificial intelligence (AI) is increasingly used in health care, yet little is known about user acceptability, particularly among older adults. To address this gap, the AI Health Acceptability Evaluation (AI-HAE) was developed to assess perceptions ... read more

Artificial Intelligence Medical Compendium