Latest AI and machine learning research in refractive surgery for healthcare professionals.
BACKGROUND: Generative artificial intelligence (AI) tools are entering clinical training faster than curricula and assessments can adapt. It is currently unknown whether point-of-care access to large language models (LLMs) improves clinician performance during real-time bedside assessments. OBJECTIVE: To evaluate the effect of allowing ChatGPT use on student performance in ward-based real-patient ...
The rapid growth of artificial intelligence, ubiquitous sensing, and edge computing is exposing fundamental limitations of conventional von Neumann architectures, in which the physical separation of sensing, memory, and computation leads to excessive data movement, high energy consumption, and latency. As transistor scaling slows in the post-Moore era, architectural innovation has become essential...
PURPOSE: To elucidate the biological heterogeneity of gallbladder cancer (GBC) cells and refine post-operative risk stratification by investigating th...
OBJECTIVES: To present a robot-assisted protocol for autogenous mandibular molar transplantation using an autonomous robotic system for shape-matched ...
BACKGROUND: Intractable temporal lobe epilepsy (ITLE) poses ongoing therapeutic challenges due to resistance to antiseizure medications and limited im...
OBJECTIVE: Patients discharged from hospitals to skilled nursing facilities (SNFs) for post-acute care are at high risk for adverse outcomes, includin...
BACKGROUND AND OBJECTIVE: Single-cell RNA sequencing (scRNA-seq) frameworks lack explainable approaches for identifying cell subpopulations harboring ...
BACKGROUND: Prolonged muscle loss and persistent pulmonary radiological manifestations have been observed among previously hospitalized COVID-19 patie...
INTRODUCTION: Pharmacy students increasingly rely on generative artificial intelligence (AI) for learning support, yet most available tools remain gen...
OBJECTIVES: Achieving a pathological complete response (pCR) following neoadjuvant chemoradiotherapy (nCRT) in patients with locally advanced rectal c...
PURPOSE: To develop and evaluate a 3D deep learning model for detecting superior mesenteric artery occlusion (SMAO) on post-contrast abdominal CT exam...
BACKGROUND: Many people relapse after achieving abstinence in substance use disorders. Health care providers may scan the horizon for new technologies...
BACKGROUND: Myopia is a growing public health concern among school-going children, with increased screen time and reduced outdoor activities contribut...
BACKGROUND: Amid growing demands and constrained health care resources, effective hospital bed capacity management is crucial. Delayed hospital discha...
Aims and Background Aesthetic medicine has undergone remarkable growth, yet the clinical infrastructure supporting the patient encounter has not kept ...
BACKGROUND: Idiopathic normal pressure hydrocephalus (iNPH) is characterized by a clinical triad of symptoms: abnormal gait, memory problems, and urin...
BACKGROUND: Neurodevelopmental disorders, especially attention-deficit/hyperactivity disorder (ADHD) and autism spectrum disorder (ASD), have seen a m...
OBJECTIVE: Currently available wearable devices for detecting focal seizures primarily target major motor seizures or involve semi-invasive subscalp i...
BACKGROUND: Nurses in long-term care spend up to one-third of their working time on documentation, contributing to administrative burden and limited t...
BACKGROUND: Resective epilepsy surgery has been proven to reduce the number of seizures and improve quality of life in patients with drug-resistant ep...