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SOAR: Surgery Objective Analysis and Review

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Johns Hopkins University

Status

Not yet enrolling

Conditions

Surgical Education and Skill Acquisition

Treatments

Other: SOAR Webapp-Based Video Review and Feedback

Study type

Observational

Funder types

Other

Identifiers

NCT07344155
IRB00487162

Details and patient eligibility

About

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.

Enrollment

100 estimated patients

Sex

All

Ages

18+ years old

Volunteers

Accepts Healthy Volunteers

Inclusion criteria

Surgery Residents:

  • General surgery trainee or attending surgeon at Johns Hopkins.
  • Must be able to operate.
  • 18 years or older

Patients:

  • Undergoing laparoscopic surgery at Johns Hopkins

Exclusion criteria

  • None for surgery residents
  • Patients: cases without record of video

Trial design

100 participants in 1 patient group

SOAR Webapp
Description:
surgical residents through all years of training
Treatment:
Other: SOAR Webapp-Based Video Review and Feedback

Trial contacts and locations

0

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Central trial contact

Natalie A Moreno, MD, MHS; Sherry Leung

Data sourced from clinicaltrials.gov

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