BACKGROUND: Medium-to-giant coronary artery aneurysm (MGCAA) represents the most severe complication of Kawasaki disease (KD) and remains difficult to identify early. Existing risk scores are not tailored for MGCAA and lack external validation. Inter... read more
Precision-based percutaneous coronary intervention (PCI) integrates contemporary strategies across the pre-, intra-, and post-procedural phases to improve outcomes and minimize complications. Emerging evidence underscores the value of these strategie... read more
Diabetic Retinopathy (DR) remains a leading cause of vision loss among diabetic patients, underscoring the importance of early detection through reliable retinal imaging analysis. Retinal fundus images are inherently physics-driven, capturing the int... read more
Classifying exam questions using Bloom's Taxonomy is a critical task in education. However, performing this classification manually is often inefficient, prone to subjective errors and demands significant time from educators. To address this challeng... read more
The Internet of Bio-NanoThings (IoBNT) promises revolutionary healthcare applications, particularly in targeted drug delivery. However, major challenges remain including safe nanodevice design, monitoring their behavior in biological environments and... read more
The rapid expansion of large language models (LLMs), including ChatGPT, has generated interest in their potential role in medical education. Although prior studies have evaluated LLM performance in theoretical assessments and selected imaging tasks, ... read more
Journal of esthetic and restorative dentistry : official publication of the American Academy of Esthetic Dentistry ... [et al.]
Mar 23, 2026
OBJECTIVES: To present a fully digital workflow for mandibular stabilization that reproduces the conventional articulator-based process within a virtual environment, integrating patient-specific three-dimensional (3D) datasets and artificial intellig... read more
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