AIMC Topic: Cholecystectomy, Laparoscopic

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Novel multimodal sensing and machine learning strategies to classify cognitive workload in laparoscopic surgery.

European journal of surgical oncology : the journal of the European Society of Surgical Oncology and the British Association of Surgical Oncology
BACKGROUND: Surgeons can experience elevated cognitive workload (CWL) during surgery due to various factors including operative technicalities and the environmental demands of the operating theatre. This can result in poorer outcomes and have a detri...

LapBot-Safe Chole: validation of an artificial intelligence-powered mobile game app to teach safe cholecystectomy.

Surgical endoscopy
BACKGROUND: Gaming can serve as an educational tool to allow trainees to practice surgical decision-making in a low-stakes environment. LapBot is a novel free interactive mobile game application that uses artificial intelligence (AI) to provide playe...

A surgical activity model of laparoscopic cholecystectomy for co-operation with collaborative robots.

Surgical endoscopy
BACKGROUND: Laparoscopic cholecystectomy is a very frequent surgical procedure. However, in an ageing society, less surgical staff will need to perform surgery on patients. Collaborative surgical robots (cobots) could address surgical staff shortages...

Surgical Intelligence Can Lead to Higher Adoption of Best Practices in Minimally Invasive Surgery.

Annals of surgery
OBJECTIVE: To examine the use of surgical intelligence for automatically monitoring critical view of safety (CVS) in laparoscopic cholecystectomy (LC) in a real-world quality initiative.

Artificial intelligence applied to laparoscopic cholecystectomy: what is the next step? A narrative review.

Updates in surgery
Artificial Intelligence (AI) is playing an increasing role in several fields of medicine. AI is also used during laparoscopic cholecystectomy (LC) surgeries. In the literature, there is no review that groups together the various fields of application...

One-shot skill assessment in high-stakes domains with limited data via meta learning.

Computers in biology and medicine
Deep Learning (DL) has achieved robust competency assessment in various high-stakes fields. However, the applicability of DL models is often hampered by their substantial data requirements and confinement to specific training domains. This prevents t...

Using neural networks to autonomously assess adequacy in intraoperative cholangiograms.

Surgical endoscopy
BACKGROUND: Intraoperative cholangiography (IOC) is a contrast-enhanced X-ray acquired during laparoscopic cholecystectomy. IOC images the biliary tree whereby filling defects, anatomical anomalies and duct injuries can be identified. In Australia, I...

Novel navigation for laparoscopic cholecystectomy fusing artificial intelligence and indocyanine green fluorescent imaging.

Journal of hepato-biliary-pancreatic sciences
This preliminary study is the first to demonstrate that AI can precisely identify loose connective tissue during laparoscopic cholecystectomy and ICG fluorescent cholangiography. Tashiro and colleagues conclude that this novel real-time navigation mo...

Use of artificial intelligence in the detection of the critical view of safety during laparoscopic cholecystectomy.

Journal of gastrointestinal surgery : official journal of the Society for Surgery of the Alimentary Tract
BACKGROUND: This study aimed to evaluate the use of artificial intelligence (AI) to detect the critical view of safety during elective laparoscopic cholecystectomy.

Comparative analysis of robotic single-site cholecystectomy outcomes between novice and expert surgeons.

Journal of robotic surgery
Single-incision laparoscopic cholecystectomy (SILC) has declined in popularity, posing a challenge for novice surgeons. However, robotic single-site cholecystectomy (RSSC) has gained popularity in hepatopancreatic surgery, suggesting a paradigm shift...