Real-time feedback for colonoscopy in a multicenter clinical trial

Wallapak Tavanapong, Jung Hwan Oh, Gavin Kijkul, Jacob Pratt, Johnny Wong, Piet Degroen

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

We report the technical challenges, solutions, and lessons learned from deploying real-time feedback systems in three hospitals as part of a multi-center controlled clinical trial to improve quality of colonoscopy. Previous clinical trials were conducted in one center. The technical challenges for our multicenter clinical trial include 1) reducing additional work by the endoscopists to utilize real-time feedback, 2) handling different colonoscopy practices at different hospitals, and 3) training an effective CNN-based classification model with a large variety of patterns of data in day-to-day colonoscopy practice. We report performance of our real-time systems over a period of 20 weeks at each hospital. We conclude that CNN-based classification can achieve very good performance in real-world deployment when trained with high quality data.

Original languageEnglish (US)
Title of host publicationProceedings - 2020 IEEE 33rd International Symposium on Computer-Based Medical Systems, CBMS 2020
EditorsAlba Garcia Seco de Herrera, Alejandro Rodriguez Gonzalez, KC Santosh, Zelalem Temesgen, Bridget Kane, Paolo Soda
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages13-18
Number of pages6
ISBN (Electronic)9781728194295
DOIs
StatePublished - Jul 2020
Event33rd IEEE International Symposium on Computer-Based Medical Systems, CBMS 2020 - Virtual, Online, United States
Duration: Jul 28 2020Jul 30 2020

Publication series

NameProceedings - IEEE Symposium on Computer-Based Medical Systems
Volume2020-July
ISSN (Print)1063-7125

Conference

Conference33rd IEEE International Symposium on Computer-Based Medical Systems, CBMS 2020
CountryUnited States
CityVirtual, Online
Period7/28/207/30/20

Bibliographical note

Funding Information:
This work was supported in part by the National Institutes of Health Grant No. #1R01DK106130-01A1. Findings, opinions, and conclusions expressed in this paper do not necessarily reflect the view of the funding agency.

Publisher Copyright:
© 2020 IEEE.

Copyright:
Copyright 2020 Elsevier B.V., All rights reserved.

Keywords

  • Convolution neural network (CNN)
  • Multi-center clinical trial
  • Real-time feedback of colonoscopy quality

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