Recent advancements in artificial intelligence have led to increased interest in predictive modeling across various domains, including medicine. Although numerous metrics have been established for binary classification, the growing adoption of multi-... read more
BACKGROUND: As artificial intelligence (AI) becomes increasingly integrated into education, understanding student perceptions of AI-generated support is critical. This pilot study examined how Doctor of Nursing Practice (DNP) students evaluate statis... read more
Autoinflammation of unknown origin remains amongst the most enigmatic of systemic autoinflammatory disorders (SAID), with systemic autoinflammatory symptoms in the absence of a molecular or clinical diagnosis with a recognized SAID. Here, we aim to u... read more
This study investigates the two-dimensional unsteady flow of a Sutterby fluid over a stretching surface under no slip boundary condition with additional effects. The governing fractional model develop with non-local behavior of fluid properties are h... read more
Cardiovascular and interventional radiology
Apr 1, 2026
PURPOSE: This study evaluates Large Language Models (LLMs) integrated with Retrieval-Augmented Generation (RAG) frameworks for generating accurate, guideline-concordant anticoagulation (AC) recommendations in Interventional Radiology (IR) MATERIALS A... read more
Join thousands of healthcare professionals staying informed about the latest AI breakthroughs in medicine. Get curated insights delivered to your inbox.