AI Medical Compendium Journal:
Surgical endoscopy

Showing 81 to 90 of 276 articles

First human surgery using a surgical assistance robotics device for laparoscopic cholecystectomies.

Surgical endoscopy
BACKGROUND: Over the past 20 years, surgeons involved in soft tissue minimally invasive surgery have experienced the pros and cons of both conventional and tele-robotic laparoscopic approaches. The Maestro System, developed by Moon Surgical (Paris, F...

Technical skill assessment in minimally invasive surgery using artificial intelligence: a systematic review.

Surgical endoscopy
BACKGROUND: Technical skill assessment in surgery relies on expert opinion. Therefore, it is time-consuming, costly, and often lacks objectivity. Analysis of intraoperative data by artificial intelligence (AI) has the potential for automated technica...

Bringing Artificial Intelligence to the operating room: edge computing for real-time surgical phase recognition.

Surgical endoscopy
BACKGROUND: Automation of surgical phase recognition is a key effort toward the development of Computer Vision (CV) algorithms, for workflow optimization and video-based assessment. CV is a form of Artificial Intelligence (AI) that allows interpretat...

Application and evaluation of surgical tool and tool tip recognition based on Convolutional Neural Network in multiple endoscopic surgical scenarios.

Surgical endoscopy
BACKGROUND: In recent years, computer-assisted intervention and robot-assisted surgery are receiving increasing attention. The need for real-time identification and tracking of surgical tools and tool tips is constantly demanding. A series of researc...

Development of a deep learning model for safe direct optical trocar insertion in minimally invasive surgery: an innovative method to prevent trocar injuries.

Surgical endoscopy
BACKGROUND: Direct optical trocar insertion is a common procedure in laparoscopic minimally invasive surgery. However, misinterpretations of the abdominal wall anatomy can lead to severe complications. Artificial intelligence has shown promise in sur...

SAGES consensus recommendations on surgical video data use, structure, and exploration (for research in artificial intelligence, clinical quality improvement, and surgical education).

Surgical endoscopy
BACKGROUND: Surgery generates a vast amount of data from each procedure. Particularly video data provides significant value for surgical research, clinical outcome assessment, quality control, and education. The data lifecycle is influenced by variou...

Feasibility of on-demand robotics in colorectal surgery: first cases.

Surgical endoscopy
INTRODUCTION: The key benefits of robotics are improved precision and control, thanks to fully articulated robotic instruments and enhanced, stable endoscope control. However, colorectal procedures also require large movements such as medialization o...

Do advances in technology translate to improved outcomes? Comparing robotic bariatric surgery outcomes over two-time intervals utilizing the MBSAQIP database.

Surgical endoscopy
BACKGROUND: This study aims to compare outcomes and utilization of robotics in bariatric procedures across two-time intervals, chosen because they correspond to drastic changes in technology utilization-namely, a new platform and a new stapling devic...

Laparoscopic versus robotic abdominal and pelvic surgery: a systematic review of randomised controlled trials.

Surgical endoscopy
BACKGROUND: The current evidence is inconclusive on whether robotic or laparoscopic surgery is the optimal platform for minimally invasive surgery. Existing comparisons techniques focus on short-term outcomes only, while potentially being confounded ...

Robotic donor nephrectomy: optimizing outcomes beyond the limitations of laparoscopy.

Surgical endoscopy
BACKGROUND: Robotic donor nephrectomy (RDN) has emerged as a safe alternate to laparoscopic donor nephrectomy (LDN), offering improved visualization, instrument dexterity and ergonomics. There is still concern about how to safely transition from LDN ...