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This project uses artificial intelligence to analyse laparoscopic cholecystectomy videos, identifying markers of operative difficulty and intraoperative risk.
North Shore - Kolling Institute of Medical Research
Safe laparoscopic cholecystectomy depends on early recognition of difficult anatomy and timely decision-making. Building on recent collaborations in AI-assisted video analysis, this project will develop computer-vision models to classify operative difficulty, recognise critical anatomical landmarks, and predict when the 'critical view of safety' has been achieved. Students will work with de-identified operative video data and annotations by expert surgeons. The findings could inform real-time safety tools and objective surgical assessment systems.
Suitable for candidates with an interest in computer vision, surgical safety, or human-AI interaction. Basic coding experience is useful but not essential.
The opportunity ID for this research opportunity is 3709