Barriers and pitfalls for artificial intelligence in gastroenterology: Ethical and regulatory issues
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The "black box" nature of some ML models raises concerns about their transparency and accountability, particularly in the context of public health interventions that can have far-reaching consequences.
“This “black box” nature of some ML models raises concerns about their transparency and accountability, particularly in the context of public health interventions that can have far-reaching consequences [55, 56].”
From Integrating machine learning and artificial intelligence in life-course epidemiology: pathways to innovative public health solutions (2024) · cites this paper as [55]
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Upreti, K., Divakaran, P., Chaturvedi, V. M., Upreti, S., Vats, P., & Goyal, K. (2025) · International Conference on Intelligent Control, Computing and Communications (IC3) · doi:10.1109/ic363308.2025.10956744
Artificial intelligence in the management of inflammatory bowel disease: What’s next?
Bilotta, A. J., Trebilcock, J., Hebda, N., Sasan, C., Cooper, K. M., & Rupawala, A. (2026) · World Journal of Gastrointestinal Pharmacology and Therapeutics · doi:10.4292/wjgpt.v17.i1.112640
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Rosenbloom, A., Gasbeck, T., Mamoun, L., Shah, N. D., Nanda, A., & Lee, G. (2026) · Annals of Plastic Surgery · doi:10.1097/sap.0000000000004667
Τriantafyllou, Κ., Tziatzios, G., Agache, A., Arasaradnam, R. P., González-Suárez, B., Keuchel, M., Kyvik, K. O., Schelde‐Olesen, B., Dray, X., Sidhu, R., et al. (2026) · Endoscopy International Open · doi:10.1055/a-2905-8231
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Madanchian, M., Taherdoost, H., & Farhaoui, Y. (2026) · Lecture notes in networks and systems · doi:10.1007/978-3-032-28097-8_28
Paul, A. K., Chakraborty, G., & Prasad, A. (2026) · Wiley eBooks · doi:10.1002/9781394355396.ch15
- Authors
- Ahmad, O. F., Stoyanov, D., & Lovat, L. B.
- Affiliations
- Wellcome / EPSRC Centre for Interventional and Surgical Sciences (GB)
- Corresponding author
- Ahmad, Omer F.
- Venue
- Techniques and Innovations in Gastrointestinal Endoscopy
- Publisher
- Elsevier BV
- Published
- 2020-04
- Volume
- 22
- Issue
- 2
- Pages
- 80-84
- ISSN
- 2590-0307 (ISSN-L)
- OpenAlex
- W2980098811
- Cited by
- 78
- References
- 21
- Citations by year
- 2026: 8 · 2025: 15 · 2024: 20 · 2023: 8 · 2022: 11 · 2021: 10 · 2020: 6
- FWCI
- 2.18
- Type
- journal article
- Language
- en
- Update notices
- erratum (2022-01-01)
- Open access
- green
- discovery.ucl.ac.uk
- Licence
- Locations
- Techniques and Innovations in Gastrointestinal Endoscopy (publishedVersion)
- UCL Discovery (University College London) (submittedVersion)
- Funders
- Engineering and Physical Sciences Research Council
- Wellcome Trust
- Topics
- Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
- Social Sciences › Safety Research › Ethics and Social Impacts of AI
- Social Sciences › Law › Digitalization, Law, and Regulation
- Keywords
- artificial intelligence, gastroenterology, endoscopy, AI ethics, regulatory pathways, data privacy, data sharing, patient harm, accountability, algorithmic bias, workforce impact, patient safety, clinical implementation
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