Optical Diagnosis of Neoplasia Using Artificial Intelligence
FAIR
Assistance for Optical Diagnosis of Neoplasia Using Artificial Intelligence (FAIR Study)
1 other identifier
interventional
70
2 countries
2
Brief Summary
Computer-aided diagnosis (CADx) for colonoscopy aims to enhance optical diagnosis but often underperforms when used alongside humans due to under-reliance on AI. Psychological interventions like cognitive forcing, such as delaying CADx suggestions, may improve human-AI interaction by fostering critical assessment. However, their impact on patient-important outcomes remains unexplored. The investigators will conduct an ex-vivo randomized study with 70 endoscopists assessing 100 polyp videos (≤5 mm) using a CADx tool (GI Genius, Medtronic). Participants will be randomized to either:
- Intervention group: CADx suggestions will be shown in the last 3 seconds of the 15 second polyp video.
- Control group: CADx suggestions will be shown in real-time throughout the playback of the 15 second polyp video. The primary endpoint is sensitivity for high-confidence neoplasia detection, with secondary endpoints assessing endoscopists' reliance on AI. CADx systems on the market function in various ways, such as real-time, delayed, or on-demand diagnosis. Our study aims to inform users and manufacturers whether cognitive forcing through delayed CADx suggestions enhances human-AI interaction, leading to improved clinical outcomes.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P50-P75 for not_applicable
Started Sep 2025
Shorter than P25 for not_applicable
2 active sites
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
Click on a node to explore related trials.
Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
April 29, 2025
CompletedStudy Start
First participant enrolled
September 1, 2025
CompletedFirst Posted
Study publicly available on registry
September 5, 2025
CompletedPrimary Completion
Last participant's last visit for primary outcome
November 1, 2025
CompletedStudy Completion
Last participant's last visit for all outcomes
December 1, 2025
CompletedSeptember 5, 2025
April 1, 2025
2 months
April 29, 2025
August 28, 2025
Conditions
Keywords
Outcome Measures
Primary Outcomes (1)
Sensitivity of the optical diagnosis of neoplastic lesions.
\- Sensitivity of each endoscopist and in each arm in the optical diagnosis of neoplastic or non-neoplastic lesions with high confidence level
Through study completion, an average of 1 year
Secondary Outcomes (12)
The reliance level on artificial intelligence, measured using the C value of the signal detection theory
Through study completion, an average of 1 year
Discrimination (d´) level of neoplastic lesions based on the signal detection theory
Through study completion, an average of 1 year
Receiver Operating characteristic (ROC) curve to determine overall discrimination in the signal detection theory
Through study completion, an average of 1 year
Proportion of high confidence diagnosis
Through study completion, an average of 1 year
Association between the reliance level (C value) on AI and endoscopists age,sex, level of expertise in colonoscopy or CADx, confidence level and area of procedence
Through study completion, an average of 1 year
- +7 more secondary outcomes
Study Arms (2)
CADx suggestions will be shown in 15 second polyp video.
ACTIVE COMPARATORCADx suggestions will be shown in real-time throughout the playback of the 15 second polyp video.
CADx suggestions will be shown in the last 3 seconds of the 15 second polyp video.
EXPERIMENTALCADx suggestions will be shown in the last 3 seconds of the 15 second polyp video.
Interventions
The investigators showed the CADx suggestion during the 15-second playback of the video
During the 15-seconds polyp video the CADx suggestion appear only in the last 3 seconds of the video
Eligibility Criteria
You may not qualify if:
- Endoscopists who are involved in the development of the protocol of the present study.
- Videos with a duration of 15 seconds including both WL and NBI.
- Videos with no clear image of the polyps.
- Videos with more than one polyp on-screen.
- Inflammatory bowel disease
- Polyposis
- Hereditary colorectal disease
- Videos which CADx cannot provide sufficient number of outputs.
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (2)
Clinical Effectiveness Research Group
Oslo, 0424, Norway
Research Group in Gastrointestinal Oncology Ourense
Ourense, 32005, Spain
Related Publications (13)
Zana Buçinca, Maja Barbara Malaya, and Krzysztof Z. Gajos. 2021. To Trust or to Think: Cognitive Forcing Functions Can Reduce Overreliance on AI in AI-assisted Decision-making. Proc. ACM Hum.-Comput. Interact. 5, CSCW1, Article 188 (April 2021), 21 pages. https://doi.org/10.1145/3449287
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PMID: 10495845BACKGROUNDKim J, Lim SH, Kang HY, Song JH, Yang SY, Chung GE, Jin EH, Choi JM, Bae JH. Impact of 3-second rule for high confidence assignment on the performance of endoscopists for the real-time optical diagnosis of colorectal polyps. Endoscopy. 2023 Oct;55(10):945-951. doi: 10.1055/a-2073-3411. Epub 2023 May 12.
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PMID: 37106592BACKGROUNDSuna N, Koksal AS, Yildiz H, Parlak E, Kuzu UB, Yuksel M, Aydinli O, Turhan N, Sakaogullari SZ, Yalinkilic ZM, Ozin Y, Sasmaz N. Prevalence of advanced histologic features in diminutive colon polyps. Acta Gastroenterol Belg. 2015 Jul-Sep;78(3):287-91.
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PMID: 30395813BACKGROUNDDjinbachian R, Haumesser C, Taghiakbari M, Pohl H, Barkun A, Sidani S, Liu Chen Kiow J, Panzini B, Bouchard S, Deslandres E, Alj A, von Renteln D. Autonomous Artificial Intelligence vs Artificial Intelligence-Assisted Human Optical Diagnosis of Colorectal Polyps: A Randomized Controlled Trial. Gastroenterology. 2024 Jul;167(2):392-399.e2. doi: 10.1053/j.gastro.2024.01.044. Epub 2024 Feb 7.
PMID: 38331204BACKGROUND
MeSH Terms
Conditions
Study Officials
- PRINCIPAL INVESTIGATOR
Yuichi Mori, MD, PhD
Clinical Effectiveness Research group
- PRINCIPAL INVESTIGATOR
Pedro Davila Piñón, Masters degree biotechnology
Research Group in Gastrointestinal Oncology Ourense / Galicia-Sur Public Galician Foundation
- PRINCIPAL INVESTIGATOR
Joaquin Cubiella, MD, PhD
University Hospital of Ourense
Central Study Contacts
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- RANDOMIZED
- Masking
- SINGLE
- Who Masked
- OUTCOMES ASSESSOR
- Masking Details
- The endoscopists are not blinded to study intervention. Those who analyze the data will be blinded to randomization allocation.
- Purpose
- DIAGNOSTIC
- Intervention Model
- PARALLEL
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
April 29, 2025
First Posted
September 5, 2025
Study Start
September 1, 2025
Primary Completion
November 1, 2025
Study Completion
December 1, 2025
Last Updated
September 5, 2025
Record last verified: 2025-04
Data Sharing
- IPD Sharing
- Will not share