Latest AI and machine learning research in surgery for healthcare professionals.
BACKGROUND: The accuracy of pedicle screws placed with instrument tracking and robotic navigation ar...
Although the accuracy of other types of robotic systems for total knee arthroplasty (TKA) has been a...
Ophthalmology is one of the most enriched fields, allowing the domain of artificial intelligence to ...
BACKGROUND AND OBJECTIVES: In medical imaging, a limited number of trained deep learning algorithms ...
BACKGROUND: The introduction of robotic surgical systems has significantly impacted urological surge...
PURPOSE: Computer-assisted arthroplasty supports the surgeons in planning, simulating, and performin...
Retzius-sparing robot-assisted radical prostatectomy (RS-RARP) has emerged as a surgical option for ...
Port-site metastasis is an extremely rare complication following minimally invasive oncologic surger...
Laparoscopy is an imaging technique that enables minimally-invasive procedures in various medical di...
Intraoperative MRI has been increasingly used to robotically deliver electrodes and catheters into t...
Transthoracic subtotal esophagectomy with two-field lymph node (mediastinal and abdominal) and monob...
BACKGROUND: Several automated skill-assessment approaches have been proposed for robotic surgery, bu...
PURPOSE: Evidence regarding the learning curve of robot-assisted total mesorectal excision is scarce...
To provide a stable surgical view in Minimally Invasive Surgery (MIS), it is necessary for a flexibl...
In recent years surgical robotic systems which were specifically developed for microsurgery have exp...
Robotic assistance in minimally invasive surgery offers numerous advantages for both patient and sur...
OBJECTIVE: To compare perioperative costs and morbidity between open and robotic sacrocolpopexy afte...
BACKGROUND: Securing sufficient blood perfusion to the anastomotic area after low-anterior resection...
Radical prostatectomy (RP) is one of the standard treatments for localized prostate cancer. However...
The game of Jenga is a benchmark used for developing innovative manipulation solutions for complex t...
Deep Reinforcement Learning (DRL) algorithms have been widely studied for sequential decision-making...