Condition: Laparoscopic Cholecystectomy · Sponsor: University Health Network, Toronto
Today, the majority of gallbladder removals surgeries are done using minimally invasive techniques through small cuts to help patients recover faster. However, these procedures are technically more challenging because surgeons have a restricted view of the patient's anatomy, which can increase the risk of serious complications. Artificial intelligence (AI) tools have been developed to guide surgeons during surgery and help them make safer decisions that reduce the risk of injury to the patient. This study will use a randomized controlled trial to compare outcomes between surgeries with AI assistance and standard procedures without AI. Primary Objective: To determine whether the AI improves surgeons' ability to achieve the Critical View of Safety, a key step for safe gallbladder removal, compared to standard procedures. Secondary Objectives: * Determine whether the AI helps the surgeon perform more safe dissections compared to the standard procedures. * Collect surgeon feedback on the use of AI during the procedure
This description comes directly from the study's public registry record.
Ariana Walji, BSc, MSc Candidate · 416-603-5185 · ariana.walji@uhn.ca
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| Toronto General Hospital | Toronto, Ontario, Canada | Recruiting |
| Toronto Western Hospital | Toronto, Ontario, Canada | Recruiting |
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Source record: clinicaltrials.gov/study/NCT07186803