Research Appraisals
Evidence-based critical appraisals of the latest medical research, systematically evaluated using Oxford CEBM methodology.
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Annual review of biomedical engineering
Artificial Intelligence-Based Analysis of Laparoscopic Imaging for Intraoperative Surgical Decision Support
Across surgical specialties, minimally invasive (laparoscopic) surgery has become a standard technique, as it is associated with less trauma, reduced postoperative complication rates, and quicker recovery for patients as compared with open surgery. Due to the limited field of view and limited haptic feedback, the surgical decision-making process in laparoscopic surgery is currently guided solely by surgeons' visual interpretation of the laparoscopic video stream. Modern artificial intelligence (AI) methods excel at the interpretation of visual data and find applications in clinical routine in fields such as radiology and endoscopy. AI methods could help augment laparoscopic surgery through objective real-time analysis of the laparoscopic video stream. Research studies have demonstrated the feasibility of AI-based surgical scene and process understanding. This review provides an overview of these AI applications, focusing on approaches that could, in the next decade, be translated into intraoperative surgical decision support tools for increased surgical quality and patient safety.
9 May 2026
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Vaginal natural orifice transluminal endoscopic surgery versus laparoscopy for ovarian cystectomy: a prospective, open-label, randomized, non-inferiority pilot trial
PURPOSE: Vaginal natural orifice transluminal endoscopic surgery (vNOTES) is an innovative minimally invasive procedure. The study aimed to evaluate whether vNOTES achieves non-inferior results compared to conventional laparoscopy in patients undergoing ovarian cystectomy. METHODS: Participants with benign ovarian tumors were randomly assigned (1:1) to undergo laparoscopy or vNOTES. Randomization was stratified based on the size of the ovarian tumor. Patients and surgeons were aware of the allocated procedures. The primary outcome was the proportion of patients successfully treated by the allocated procedure (non-inferiority hypothesis, margin of 15%). The secondary outcomes included operative time, estimated blood loss, time for specimen retrieval, postoperative pain score, use of analgesics, time to first flatus, and perioperative complications. RESULTS: Sixty-four patients were randomly assigned to laparoscopy (n = 32) and vNOTES (n = 32) and were included in the intention-to-treat analysis. The success rates were 100% and 96.9%, respectively. Non-inferiority of vNOTES was demonstrated, as the lower limit of the one-sided 95% confidence interval for the stratified risk difference was -12.7%, which lies above the pre-specified non-inferiority margin of -15%. The vNOTES group exhibited lower pain scores, with a median difference of -1 (95% CI -1 - -1, p < 0.001). CONCLUSION: vNOTES demonstrates non-inferiority to laparoscopy for ovarian cystectomy in selected patients, with notable advantages in cosmetic outcomes and reduced postoperative pain. CLINICAL TRIAL IDENTIFICATION NUMBER: ChiCTR2300070890.
4 Apr 2026
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