Clinical trial NCT05423964: Impact of AI on Trainee ADR
Official title: Impact of Artificial Intelligence on Trainee Adenoma Detection Rate
Study type: INTERVENTIONAL
Overall status: RECRUITING
Phase: NA
Conditions: Adenoma
Adenoma Colon
Colorectal Cancer
Lead sponsor: University of Southern California
Sponsor class: OTHER
First posted: 2022-06-21
Enrollment: 25
Sex: ALL
Standard ages: CHILD
ADULT
OLDER_ADULT
Accepts healthy volunteers: yes
Allocation: RANDOMIZED
Intervention model: PARALLEL
Primary purpose: DIAGNOSTIC

Brief summary: Adenoma detection rate (ADR) is a validated quality metric for colonoscopy with higher ADR correlated with improved colorectal cancer outcomes. Artificial intelligence (AI) can automatically detect polyps on the video monitor which may allow endoscopists in training to improve their ADR. Objective and Purpose of the study: Measure the effect of AI in a prospective, randomized manner to determine its impact on ADR of Gastroenterology trainees.

Detailed description: Our objective is to determine the impact of AI on the adenoma detection rate of Gastroenterology trainees. The secondary aim of this quality improvement study is to determine the impact of AI based endoscopy on the rate of recording of quality improvement metrics versus historical performance in our program.

Fellows will undergo educational session prior to the start of study, describing commonly used metrics for assessing quality of colonoscopy and how to use the artificial intelligence software. Gastroenterology fellows will be consented for the study prior to initiation. The fellows will be randomized on a daily basis to perform colonoscopies in a room. Outcomes will measure the effects of AI in fellows

Eligibility criteria: Inclusion Criteria:

* All Gastroenterology fellows at USC performing Endoscopies will be included in the study.

Exclusion Criteria:

* If fellows refuse informed consent they will be excluded.
* Procedures performed in the intensive care unit or the operating room will not be counted toward the study metrics as the AI system will only be available in the endoscopy unit.
* If procedures are performed only by faculty, in which the fellow is not the primary operator, they will not be used for study metrics.

Primary outcomes:
measure: Average adenoma detection rate
timeFrame: Throughout study, an average of 2 years
Secondary outcomes:
measure: Average of polyps detection rate
timeFrame: Through out study, an average of 2 years
Other outcomes:
Locations:
city: Los Angeles
country: United States
facility: LAC+USC Medical Center
state: California
Study officials:
affiliation: University of Southern California
name: James L Buxbaum, MD
role: PRINCIPAL_INVESTIGATOR
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