AI-powered surgical training programme for medical students

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A new AI-powered tool has been developed to address the constant supervision needed to train medical students, as the programme provides real-time feedback and automatic instruction.

Usman Roshan

As medical students conduct surgical exercises, the AI software scans a live video feed and provides immediate, personalised feedback for them.

The tool is being developed by associate professor Usman Roshan from Ying Wu College of Computing’s Department of Data Science at the New Jersey Institute of Technology, with colleagues from Robert Wood Johnson Medical School (RWJ) and Robust AI, a software company focused on AI-powered human activity recognition products.

Roshan, collaborating with transplant surgeon and director of surgical simulation at RWJ, Dr Advaith Bongu, and AI engineer Yunzhe Xue from Robust AI, have been developing the platform since 2023 and are refining it for student training at RWJ, with an expectation of having it embedded to the curriculum in 2025.

The researchers said that simulation has become an accepted part of the surgical educational curriculum. Surgical trainees develop laparoscopic skills over time and have to gain a Fundamentals of Laparoscopic Surgery (FLS) certification before graduation.

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medical AI