SG Leaders: Oh Nam Kee
Alfred Kow Wei Chieh
AI imaging software defining the GO Zone and No Go Zone may potentially enhance the understanding and learning future surgeons in performing MIS Donor hepatectomy for LDLT
Background/rationale
MIS donor hepatectomy is getting more commonly adopted in the World now. The clear benefits is to the patients when the surgery is done safely. As such, ways to enhance the safety and learnig curve of the surgery will help to elevate the standard of care for donor surgery in the future. MIS donor surgery will slowly become the standard when more and more younger surgeons start adopting this technique, especially since MIS liver surgery is quickly becoming the standard of care nowadays.
Objectives
To validate the AI software which is created to compartmentalise steps of MIS Donor hepatectomy and to study the feasibilty of widespread aoption of this technology in the near future.
Study design
Using the AI software developed by the Samsung Medical Center team in Korea, the study group will invite participants with recorded videos of Laparoscopic donor hepatectomy to submit the videos to the archive (anonymously) so that the study team can carry out validation studies. In addition, large data analysis can also be used to validate the accuracy of the surgery.
