Latest AI and machine learning research in refractive surgery for healthcare professionals.
RATIONALE AND OBJECTIVES: Artificial intelligence (AI) has rapidly transformed radiology practice, yet structured and practical AI education remains inconsistently integrated into radiology residency training. We developed and implemented a hands-on AI curriculum designed to integrate core computational principles with clinically relevant imaging applications. This study describes the curriculum d...
Telehealth has become a cornerstone of modern pediatric care, offering continuity, access and efficiency across a wide range of clinical settings. Initially a supplementary model, its rapid expansion during the COVID-19 pandemic accelerated innovation in virtual care delivery. Post-pandemic, pediatric telehealth remains a vital tool for improving access to behavioral health, chronic disease manage...
OBJECTIVE: To develop and evaluate a suturing simulator using Artificial intelligence (AI)-driven computer vision for objective, high-resolution asses...
BACKGROUND: Ophthalmology training requires visual interpretation, procedural skill, and supervised clinical reasoning, but trainee volume, faculty av...
BACKGROUND: There is increasing recognition that trauma exposure and related psychiatric consequences predict cardiovascular disease risk. However, mo...
PURPOSE: To develop a framework that benchmarks penalized statistical inference against explainable artificial intelligence (XAI) methods for predicti...
OBJECTIVE: To compare the quality and readability of responses from five generative artificial intelligence chatbot platforms to clinician-oriented qu...
There is a growing literature on the prediction of risk of deterioration in hospital settings, including by leveraging artificial intelligence (AI) mo...
Background Chest CT is a primary method for identifying pulmonary nodules, yet interpreting scans remains time-intensive and demanding. Currently, art...
Myopia stands as a major threat to the eye health of children and adolescents, impacting their daily lives and academic performance. Early detection a...
CLINICAL RELEVANCE: Wearable technologies may enable eyecare practitioners to assess visual function, behaviour, environmental exposure, and treatment...
BACKGROUND: To determine whether axial length-related magnification correction in optical coherence tomography angiography (OCTA) improves machine lea...
BACKGROUND: Accurate delineation of the prostate and surrounding organs-at-risk (OARs) is essential for HDR prostate brachytherapy. Manual contouring ...
Cryo-electron microscopy (cryo-EM) micrographs are frequently contaminated by carbon edges, ice crystals, ethane bubbles and other high-contrast artif...
BACKGROUND: Prior authorization (PA) is intended to support appropriate use and spending of services and medications, yet 1 in 6 insured adults report...
This study evaluated district-wide implementation of a digital wound model of care combining an artificial intelligence-enabled application with a vir...
ObjectiveTo evaluate the demographic and hierarchical representation biases in artificial intelligence-generated depictions of healthcare professional...
BACKGROUND: Call abandonment is a critical barrier to patient access in health care call centers; yet, predictive modeling efforts are limited by stri...
PURPOSE: To evaluate aesthetic preferences for artificial intelligence (AI)-assisted smile designs produced using four digital smile design software p...
OBJECTIVES: Artificial intelligence (AI) is increasingly used in esthetic dentistry; however, its accuracy in predicting post-prosthetic facial outcom...