Diagnostic and interventional radiology (Ankara, Turkey)
Feb 26, 2026
PURPOSE: To develop the REporting checklist for FoundatIon and large laNguagE models (REFINE), an international reporting guideline for transparent and reproducible reporting of foundation model (FM) and large language model (LLM) studies in medical ... read more
OBJECTIVE: To evaluate the clinical utility and implementation considerations of artificial intelligence (AI)-based fetal health classification systems using the Kaggle Fetal Health Classification dataset, with a focus on obstetric physicians' perspe... read more
Public health reports (Washington, D.C. : 1974)
Feb 26, 2026
OBJECTIVES: As generative artificial intelligence (AI) continues to advance, an environment that lacks strong safeguards could create opportunities for misuse by malicious actors. This study aimed to evaluate the safeguards of publicly accessible gen... read more
RoFo : Fortschritte auf dem Gebiete der Rontgenstrahlen und der Nuklearmedizin
Feb 26, 2026
Multiple sclerosis (MS) is characterized by clinical and radiological heterogeneity. Recent refinements in the McDonald criteria and the integration of advanced MRI biomarkers, such as the central vein sign and paramagnetic rim lesions, can enhance d... read more
Journal of gastroenterology and hepatology
Feb 26, 2026
Pancreatic neuroendocrine tumors (PanNETs) are increasingly diagnosed, reflecting greater clinical awareness, improved imaging, and revised classification. This review summarizes evidence on epidemiology, diagnostic workup, and endoscopic ultrasound ... read more
INTRODUCTION: Artificial intelligence (AI) is rapidly evolving, offering an expanding suite of capabilities that go beyond the traditional focus on prediction and classification. Generative AI (GenAI) and agentic AI could create transformative practi... read more
INTRODUCTION: Black women in early midlife experience disproportionate exposure to stress and elevated cardiovascular risk, including hypertension. Despite this, few stress management interventions are designed with and for this population. This stud... read more
Atrial fibrillation (AF) is the most common arrhythmia and is a leading cause of stroke and heart failure yet often remains undiagnosed. Screening has been proposed to identify asymptomatic AF and initiate preventive treatment, but evidence for reduc... read more
OBJECTIVES: Predicting mortality is vital for tailoring treatments, improving care and reducing costs. Machine learning (ML) has shown strong potential, often outperforming traditional severity-of-illness scoring systems in intensive care units (ICUs... read more
OBJECTIVES: The integration of artificial intelligence (AI) technologies into clinical practice holds significant promise for enhancing healthcare delivery, yet substantial barriers remain to their widespread adoption. This narrative review aimed, fi... read more
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