Latest AI and machine learning research in laser surgery for healthcare professionals.
BACKGROUND: In the past two decades, technology has advanced to augment an already minimally-invasiv...
This paper provides an overview of current robot-assisted high-intensity focused ultrasound (HIFU) s...
OBJECTIVE: To report our initial experience with the use of HUGO Robotic Assisted Surgery System (RA...
Analysis of the vascular tree is the basic premise to automatically diagnose retinal biomarkers asso...
Simple prostatectomy is indicated in patients with enlarged glands (>80 ) who present with lower ur...
Vertical nystagmus is a common neuro-ophthalmic sign in vestibular medicine. Vertical nystagmus not ...
Early detection of visual impairment is crucial but is frequently missed in young children, who are ...
BACKGROUND: Robotic ophthalmic endoscope holders allow surgeons to execute dual-hand operations in e...
The accuracy and the overall performances of ophthalmic instrumentation, where specific analysis of ...
Retinopathy of prematurity is an ophthalmic disease with a very high blindness rate. With its increa...
BACKGROUND: The evaluation of refraction is indispensable in ophthalmic clinics, generally requiring...
To evaluate the feasibility and intraoperative technical parameters of the new robot-assisted surgi...
Anterior segment optical coherence tomography (AS-OCT) is a fundamental ophthalmic imaging technique...
In this work, we investigate the use of three information-theoretic quantities-entropy, mutual infor...
Recently, deep learning-based segmentation models have been widely applied in the ophthalmic field. ...
To compare outcomes of robot-assisted partial nephrectomy (RAPN) and percutaneous tumor ablation (P...
OBJECTIVES: To develop and validate a deep learning (DL) model based on quantitative analysis of con...
The use of robotic surgery has increased exponentially in the United States. Despite this uptick in ...