Latest AI and machine learning research in laser surgery for healthcare professionals.
OBJECTIVE: To conduct the first study examining the accuracy of ChatGPT, an artificial intelligence ...
PURPOSE OF REVIEW: The current article provides an overview of the present approaches to algorithm v...
OBJECTIVE: To evaluate transperineal laser ablation (TPLA) with Echolaser® (Echolaser® TPLA, Elesta ...
Deep neural networks (DNNs) have been widely applied in the medical image community, contributing to...
Low-dose computed tomography (LDCT) is an effective way to reduce radiation exposure for patients. H...
Our approach addresses the urgent need for AI experience for the doctors of tomorrow. Through a medi...
INTRODUCTION: Highly complex renal masses pose a challenge to urologic surgeons' ability to perform ...
Diabetic retinopathy is a leading cause of blindness in working-age adults worldwide. Neovascular le...
In medicine, confounding variables in a generalized linear model are often adjusted; however, these ...
PURPOSE: To compare the inter-camera performance and consistency of various deep learning (DL) diagn...
OBJECTIVE: Robot-assisted (RA) stereotactic MRI-guided laser ablation has been reported to be a safe...
The da Vinci single-port (SP) platform represents the latest innovation in minimally invasive urolo...
OBJECTIVE: The goal of the work described here was to construct a deep learning-based intelligent di...
Personalized, image-based computational heart modelling is a powerful technology that can be used to...
In 2018, the da Vinci Single Port (SP) robotic system was approved by the US Food and Drug Administr...
We compared outcomes of robot-assisted simple prostatectomy (RASP) in patients with and without a h...
The identification of abnormal findings manifested in retinal fundus images and diagnosis of ophthal...
By providing three-dimensional visualization of tissues and instruments at high resolution, live vol...
Traditional teaching suggests that prior pelvic operations, including prostatectomy, are a contraind...