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Knowledge, perceptions and behaviours of endoscopists towards the use of artificial intelligence-aided colonoscopy

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Abstract

Background

Recent developments in artificial intelligence (AI) systems have enabled advancements in endoscopy. Deep learning systems, using convolutional neural networks, have allowed for real-time AI-aided detection of polyps with higher sensitivity than the average endoscopist. However, not all endoscopists welcome the advent of AI systems.

Methods

We conducted a survey on the knowledge of AI, perceptions of AI in medicine, and behaviours regarding use of AI-aided colonoscopy, in a single centre 2 months after the implementation of Medtronic’s GI Genius in colonoscopy. We obtained a response rate of 66.7% (16/24) amongst consultant-grade endoscopists. Fisher’s exact test was used to calculate the significance of correlations.

Results

Knowledge of AI varied widely amongst endoscopists. Most endoscopists were optimistic about AI’s capabilities in performing objective administrative and clinical tasks, but reserved about AI providing personalised, empathetic care. 68.8% (n = 11) of endoscopists agreed or strongly agreed that GI Genius should be used as an adjunct in colonoscopy. In analysing the 31.3% (n = 5) of endoscopists who disagreed or were ambivalent about its use, there was no significant correlation with their knowledge or perceptions of AI, but a significant number did not enjoy using the programme (p-value = 0.0128) and did not think it improved the quality of colonoscopy (p-value = 0.033).

Conclusions

Acceptance of AI-aided colonoscopy systems is more related to the endoscopist’s experience with using the programme, rather than general knowledge or perceptions towards AI. Uptake of such systems will rely greatly on how the device is delivered to the end user.

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Data availability

The data that support the findings of this study are available from the corresponding author upon reasonable request.

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Acknowledgements

The authors would like to thank the Sengkang General Hospital Endoscopy Centre staff and endoscopists who participated in the project: Fung-Joon Foo, Winson J. Tan, Sharmini S. Sivarajah, Leonard M. L. Ho, Jia-Lin Ng, Frederick H. Koh, Cheryl Chong, Darius Aw, Kam Juinn Haur, Alvin Y. H. Tan, Choon-Chieh Tan, Baldwin P. M. Yeung, Wai-Keong Wong, Bin-Chet Toh, Jasmine Ladlad, Jason Barco, Koy-Min Chue, Faith Leong, Christopher Kong, Cui-Li Lin, Eng-Kiong Teo, Yi-Kang Ng, Tze-Tong Tey, Marianne A. De-Roza, Jonathan Lum, Xiaoke Li, Jinliang Li, Nazeemah B Mohd-Nor, and Siok-Peng Ng.

Funding

No funding was provided for this study. However, the GI Genius™ Intelligent Endoscopy Module (US-DG-2000309 © 2021 Medtronic) was provided free to the institution during the study period as a form of loan for trial.

Author information

Authors and Affiliations

  1. Department of General Surgery, Sengkang General Hospital, SingHealth Services, Singapore, Singapore

    Sarah Tham

  2. Colorectal Service, Department of General Surgery, Sengkang General Hospital, SingHealth Services, 110 Sengkang East Way, Singapore, 544886, Singapore

    Frederick H. Koh & Fung-Joon Foo

  3. Endoscopy Centre, Division of Hyperacute Care, Sengkang General Hospital, Singapore, Singapore

    Fung-Joon Foo

  4. Department of Gastroenterology and Hepatology, Sengkang General Hospital, SingHealth Services, Singapore, Singapore

    Eng-Kiong Teo & Cui-Li Lin

Authors
  1. Sarah Tham
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  2. Frederick H. Koh
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  3. Eng-Kiong Teo
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  4. Cui-Li Lin
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  5. Fung-Joon Foo
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Consortia

SKH Endoscopy Centre

  • Fung-Joon Foo
  • , Winson J. Tan
  • , Sharmini S. Sivarajah
  • , Leonard M. L. Ho
  • , Jia-Lin Ng
  • , Frederick H. Koh
  • , Cheryl Chong
  • , Darius Aw
  • , Juinn-Haur Kam
  • , Alvin Y. H. Tan
  • , Choon-Chieh Tan
  • , Baldwin P. M. Yeung
  • , Wai-Keong Wong
  • , Bin-Chet Toh
  • , Jasmine Ladlad
  • , Jason Barco
  • , Koy-Min Chue
  • , Faith Leong
  • , Christopher Kong
  • , Cui-Li Lin
  • , Eng-Kiong Teo
  • , Yi-Kang Ng
  • , Tze-Tong Tey
  • , Marianne A. De-Roza
  • , Jonathan Lum
  • , Xiaoke Li
  • , Jinliang Li
  • , Nazeemah B. Mohd-Nor
  •  & Siok-Peng Ng

Contributions

All authors participated in the conception of the idea, data collection, writing and manuscript revision. All authors approved the final version of the manuscript.

Corresponding author

Correspondence to Frederick H. Koh.

Ethics declarations

Disclosures

Frederick H. Koh is a Key-Opinion-Leader for Medtronic for AI in Endoscopy, Asia Pacific Region. Sarah Tham, Eng-Kiong Teo, Cui Li-Lin, Fung-Joon Foo and co-authors within SKH Endoscopy Centre have no conflicts of interest or financial ties to disclose.

Ethical approval

No ethical approval was requested for the writing of this manuscript.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

We write this paper as a supplementary qualitative analysis as part of our single institution’s prospective cohort study with Medtronic’s GI Genius—of which two articles on the topic have been published in Surgical Endoscopy, the first by Koh et al. [1] in the July 2022 edition, and the second by Chin et al. [2] in the February 2023 edition.

Supplementary Information

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Supplementary file1 (DOCX 19 kb)

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Tham, S., Koh, F.H., SKH Endoscopy Centre. et al. Knowledge, perceptions and behaviours of endoscopists towards the use of artificial intelligence-aided colonoscopy. Surg Endosc 37, 7395–7400 (2023). https://doi.org/10.1007/s00464-023-10412-3

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  • DOI: https://doi.org/10.1007/s00464-023-10412-3

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