Latest AI and machine learning research in laser surgery for healthcare professionals.
PURPOSE: To evaluate whether ChatGPT-assisted informed consent (IC) is noninferior to conventional physician-led IC in reducing preoperative anxiety (PA) among patients undergoing a urologic procedure. MATERIALS AND METHODS: In this prospective, open-label randomized controlled trial, 180 adult patients scheduled for retrograde intrarenal surgery/ureteroscopy or holmium laser enucleation of the pr...
BACKGROUND: Accurate localization of premature ventricular contraction (PVC) origin from 12-lead electrocardiography (ECG) is important for procedural planning in catheter ablation. Although convolutional neural network (CNN)-based models have shown promising diagnostic performance, they require task-specific training and remain limited in interpretability. We evaluated whether large language mode...
BACKGROUND: Diabetic retinopathy (DR) severity is graded from the type and distribution of retinal lesions, yet most automated methods address grading...
BACKGROUND: Recurrence of atrial fibrillation (AF) following catheter ablation is a major clinical problem, and there is considerable variability in p...
BACKGROUND: Machine learning models for Obstructive Sleep Apnea (OSA) diagnosis have largely inherited some structural limitations: reliance on generi...
Objective: To develop and validate a dual-layer deep learning model based on cone-beam CT (CBCT)-derived multi-view two-dimensional (2D) slices for th...
Intracranial hemorrhage (ICH) is a time-critical neurologic emergency where delayed diagnosis can worsen outcomes. Non-contrast head CT is the first-l...
BACKGROUND: Heads-up 3D surgery is becoming increasingly more important in ophthalmic microsurgery. Digital 3D visualization systems supplement tradit...
BACKGROUND: Artificial intelligence-generated health information is increasingly used by patients, but its reliability, visible transparency indicator...
Biologics, including peptides, proteins, antibodies, vaccines and nucleic acid-based therapeutics, have transformed the management of chronic, metabol...
To systematically characterize global publication trends, collaboration patterns, intellectual foundations, research hotspots, and emerging frontiers ...
Surface-enhanced Raman spectroscopy (SERS) combined with deep learning offers a noninvasive route for molecular screening of urologic diseases. Its br...
Automated segmentation and classification of retinal arteries and veins (A/V) are pivotal for the precise morphological characterization required in t...
BACKGROUND: Distinguishing vitiligo from postinflammatory hypopigmentation (PIH) is clinically challenging because both conditions may present with si...
3D printing is reshaping ophthalmic biomaterials, tissue models, implants, biosensors, and drug-delivery systems, but its clinical value depends on ma...
Artificial intelligence (AI)-based dermoscopic analysis is increasingly being used to assist dermatologists in the early detection and monitoring of p...
BACKGROUND: Accurate intraoperative identification of anatomical structures is critical for ensuring the safety and efficacy of spinal endoscopic surg...
SIGNIFICANCE: The slit lamp is the gold standard ophthalmic instrument for examining the anterior segment of the eye. Slit lamps require the mechanica...
BACKGROUND: Conversational voice AI assistants can automate postoperative follow-up calls in high-volume, low-complexity pathways such as cataract sur...
Robot-assisted radical cystectomy (RARC) is a complex procedure that requires patients to understand surgical indications, urinary diversion, perioper...