The purpose of this pilot study is to determine the feasibility and usability of a surgical software training platform called the SOAR Webapp that will allow Johns Hopkins surgical trainees to receive rapid qualitative and quantitative feedback on both technical skills and surgical decision-making. The SOAR Webapp is a software device comprised of artificial intelligence (AI) computer vision algorithms embedded in a standalone mobile application. The software will be able to take laparoscopic videos as input and output the automated assessments for users. The investigators will also set up the clinical and logistical infrastructure needed to conduct a pilot study to evaluate the effectiveness of the SOAR computer vision system in facilitating video-based review of trainee performed operations with feedback from an expert attending surgeon. The investigators hypothesize that the video review features of the SOAR Webapp will be an effective training aid and has the potential to improve surgical education and training.
Age range
18 Years
Sex
ALL
See this in plain English?
AI-rewrites the medical criteria so a patient or caregiver can understand them. Always confirm with the trial site.
Bring these to your next appointment. They're a starting point for a shared conversation — not a sign you qualify or a recommendation to enrol.
Generated to help you prepare — always confirm anything about your own eligibility and care with the study team and your doctor.
The trial coordinator is the person who runs the study day to day. These cover the practical side — logistics, costs, and what taking part would actually mean for your life. The study team confirms whether you meet the criteria; these are questions to ask, not a sign you qualify.
A starting point for the conversation — always confirm anything about your own eligibility, costs, and care with the study team and your doctor.
Perceived resident educational impact and accuracy of operative performance assessment as measured by the SOAR Post-Intervention Evaluation Survey
Timeframe: 2 years