Latest AI and machine learning research in surgery for healthcare professionals.
BACKGROUND: It is unclear how to best establish successful robotic training programs or if subspecia...
INTRODUCTION: Recent developments in the postoperative evaluation of deep brain stimulation surgery ...
In the 18th century, anatomy was the principal science underlying surgical practice. Over the next t...
Wound classification is an essential step of wound diagnosis. An efficient classifier can assist wou...
BACKGROUND: Papillary fibroelastomas (PFEs) are a rare subtype of benign primary cardiac tumours, wh...
: The number of patients who undergo multiple operations on a knee is increasing. The objective of t...
Laparoscopic procedures have become indispensable in gastrointestinal surgery. As a minimally invasi...
Laparoscopic nephroureterectomy (LNU) has become popular in treating upper urinary tract urothelial...
Microrobots that can be precisely guided to target lesions have been studied for in vivo medical app...
INTRODUCTION: Surgical reports are usually written after a procedure and must often be reproduced fr...
Exercise-induced pulmonary hemorrhage (EIPH) is a relevant respiratory disease in sport horses, whic...
OBJECTIVE: To report the preliminary surgical outcomes for single incision robotic cystectomy (SIRC)...
The relevance of the study is confirmed by the rapid development of automation in agriculture, in pa...
BACKGROUND: Decisions in healthcare usually rely on the goodness and completeness of data that could...
BACKGROUND: A robotic rehabilitation gym can be defined as multiple patients training with multiple ...
Saliva blood mixed liquid (SBML) appears in oral surgery, such as scaling and root planning, and it ...
Long-term oncologic data on patients undergoing robot-assisted radical cystectomy (RARC) for non-met...
Virtual reality surgical simulators have facilitated surgical education by providing a safe training...