Latest AI and machine learning research in laser surgery for healthcare professionals.
PURPOSE: Diabetic retinopathy (DR) is a leading cause of preventable blindness, particularly in unde...
BACKGROUND: Limited access to dermatologic care may pose an obstacle to the early detection and inte...
The accurate prediction of standard vaporization enthalpy (ΔH°) for volatile organic compounds (VOCs...
PURPOSE: To investigate the possibility of distinguishing between IgG4-related ophthalmic disease (I...
Machine teaching, a machine learning subfield, may allow for rapid development of artificial intelli...
Thyroid-associated ophthalmopathy (TAO), also referred to as Graves' ophthalmopathy, is a medical co...
PURPOSE: Partial nephrectomy is standard-of-care treatment for small renal masses. As utilization of...
BACKGROUND/OBJECTIVES: The aim was to compare ophthalmic diagnoses made by veterinarians to a deep l...
The Single-Port (SP) robotic system is increasingly being implemented in the United States, allowing...
Artificial Intelligence (AI) has become a focus of research in the rapidly evolving field of ophthal...
Artificial intelligence (AI) uses algorithms and large language models in computers to simulate huma...
Digital surgery technologies, such as interventional robotics and sensor systems, not only improve p...
INTRODUCTION: Artificial intelligence (AI) ECG arrhythmia mapping provides arrhythmia source localiz...
PURPOSE: With the introduction of ChatGPT, artificial intelligence (AI)-based large language models ...
In ophthalmic diagnostics, achieving precise segmentation of retinal blood vessels is a critical yet...
PURPOSE: AirSeal is a valve-less trocar insufflation system which is widely used in robotic urologic...
Magnetic-assisted robotic surgery (MARS) has been developed to maximize patient benefits of minimal...
INTRODUCTION AND OBJECTIVE: Generative artificial intelligence makes it possible to ask about medica...