AI Medical Compendium Topic

Explore the latest research on artificial intelligence and machine learning in medicine.

Operative Time

Showing 21 to 30 of 304 articles

Clear Filters

Propensity Score Matched Comparison of Robotic Single-Site and Laparoscopic Cholecystectomy.

JSLS : Journal of the Society of Laparoendoscopic Surgeons
BACKGROUND AND OBJECTIVES: To demonstrate the feasibility and potential of robotic single-site cholecystectomy, the study aimed to compare it with conventional laparoscopic cholecystectomy.

Assessment of Quality Outcomes and the Learning Curve for Robot-Assisted Anatomical Lung Resections.

Journal of laparoendoscopic & advanced surgical techniques. Part A
To determine the perioperative quality assessment results and learning curves for robot-assisted anatomical lung resection. We analyzed the data of the initial 400 patients who underwent lobectomies or segmentectomies by 1 surgeon from January 2020...

Safety and surgical outcomes of single-port trans-axillary robot-assisted thyroidectomy: Experience from a consecutive series of 300 patients.

Journal of robotic surgery
Since the introduction of the single-port (SP) robotic system, SP trans-axillary robot-assisted thyroidectomy (SP-TART) has been performed. We aimed to evaluate the safety and surgical outcomes of SP-TART in a consecutive series of 300 cases. We anal...

Ensuring communication redundancy and establishing a telementoring system for robotic telesurgery using multiple communication lines.

Journal of robotic surgery
Assuring communication redundancy during the interruption and establishing appropriate teaching environments for local surgeons are essential to making robotic telesurgery mainstream. This study analyzes robotic telesurgery with telementoring using s...

Analysis of robot-specific operative time and surgical team anxiety level and its effect on alignment during robot-assisted TKA.

Journal of robotic surgery
Adapting to robotic-assisted (RA) total knee arthroplasty (TKA) is hindered by the surgeon's fear of extra time. The main purpose of this study was to determine the robot's operative time, and the secondary goals were to assess the surgical team's an...

Explainable artificial intelligence prediction-based model in laparoscopic liver surgery for segments 7 and 8: an international multicenter study.

Surgical endoscopy
BACKGROUND: Artificial intelligence (AI) is becoming more useful as a decision-making and outcomes predictor tool. We have developed AI models to predict surgical complexity and the postoperative course in laparoscopic liver surgery for segments 7 an...

Predicting operative time for metabolic and bariatric surgery using machine learning models: a retrospective observational study.

International journal of surgery (London, England)
BACKGROUND: Predicting operative time is essential for scheduling surgery and managing the operating room. This study aimed to develop machine learning (ML) models to predict the operative time for metabolic and bariatric surgery (MBS) and to compare...