AI Medical Compendium

AI-Supported, Integrative Prediction of Postoperative Delirium: Protocol for the CONFUSED Study.

JMIR research protocols May 25, 2026

BACKGROUND: Postoperative delirium (POD) is a frequent and serious complication in older surgical patients, characterized by acute cognitive dysfunction and fluctuating levels of consciousness. POD is associated with prolonged hospitalization, long-t... read more

Sequencing AI Automation and Data Interoperability in Oncology Using a Scenario-Planning Framework Coupled With Discrete-Event Simulation: Proof-of-Concept Study.

Journal of medical Internet research May 25, 2026

BACKGROUND: As oncology workflows integrate increasingly autonomous artificial intelligence (AI) agents, health systems face uncertainty regarding operational impacts. Traditional linear forecasting methods fail to capture second-order effects such a... read more

Patients' Perspectives on the Implementation of AI in Radiological Diagnostics: Focus Group Study.

Journal of medical Internet research May 25, 2026

BACKGROUND: Rapid developments in artificial intelligence (AI) will enable its widespread use in radiological diagnostics in the near future. Patients will then be confronted with findings generated with the help of AI. Understanding patients' perspe... read more

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

Artificial Intelligence Medical Compendium