The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Navigating the “Trough of Disillusionment” for CADe Polyp Detection: What Can We Learn About Negative AI Trials and the Physician-AI Hybrid?
Abstract
1Center for Advanced Endoscopy, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, Massachusetts, USA; 2Division of Gastroenterology, Duke University Medical Center, Durham, North Carolina, USA. Correspondence: Tyler M. Berzin, MD. E-mail: [email protected].
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In the citing paper
“The introduction of AIbased tools to assist MDs during this complex procedure has garnered considerable interest, even though some negative observations also started to emerge [92] .”
From Enhancing human-AI collaboration: The case of colonoscopy (2024) · cites this paper as [92]
Citations
Cites
Experimental evidence of effective human–AI collaboration in medical decision-making
Reverberi, C., Rigon, T., Solari, A., Hassan, C., Cherubini, P., GI Genius CADx Study Group, Antonelli, G., Awadie, H., Bernhofer, S., Carballal, S., et al. (2022) · Scientific Reports · doi:10.1038/s41598-022-18751-2 · Cited by 281
Glissen Brown, J. R., Mansour, N. M., Wang, P., Chuchuca, M. A., Minchenberg, S. B., Chandnani, M., Liu, L., Gross, S. A., Sengupta, N., & Berzin, T. M. (2022) · Clinical Gastroenterology and Hepatology · doi:10.1016/j.cgh.2021.09.009 · Cited by 235
Self-citationXu, H., Tang, R. S. Y., Lam, T. Y. T., Zhao, G., Lau, J. Y. W., Liu, Y., Wu, Q., Rong, L., Xu, W., Li, X., et al. (2023) · Clinical Gastroenterology and Hepatology · doi:10.1016/j.cgh.2022.07.006 · Cited by 209
Research works printed but not linked: 14
- Shah, 2023, Effect of computer-aided colonoscopy on adenoma miss rates and polyp detection: A systematic review and meta-analysis, J Gastroenterol Hepatol, 38, 162, 10.1111/jgh.16059 · DOI · Paper page
- Li, 2022, Performance and comparison of artificial intelligence and human experts in the detection and classification of colonic polyps, BMC Gastroenterol, 22, 517, 10.1186/s12876-022-02605-2 · DOI
- Rondonotti, 2022, Efficacy of a computer-aided detection system in a fecal immunochemical test-based organized colorectal cancer screening program: A randomized controlled trial (AIFIT study), Endoscopy, 54, 1171, 10.1055/a-1849-6878 · DOI
- Gimeno-Garcia, 2023, Usefulness of a novel computer-aided detection system for colorectal neoplasia: A randomized controlled trial, Gastrointest Endosc, 97, 528, 10.1016/j.gie.2022.09.029 · DOI · Paper page
- Yao, 2022, Effect of an artificial intelligence-based quality improvement system on efficacy of a computer-aided detection system in colonoscopy: A four-group parallel study, Endoscopy, 54, 757, 10.1055/a-1706-6174 · DOI · Paper page
- Ladabaum, 2023, Computer-aided detection of polyps does not improve colonoscopist performance in a pragmatic implementation trial, Gastroenterology, 164, 481, 10.1053/j.gastro.2022.12.004 · DOI · Paper page
- Levy, 2022, Artificial intelligence-aided colonoscopy does not increase adenoma detection rate in routine clinical practice, Am J Gastroenterol, 117, 1871, 10.14309/ajg.0000000000001970 · DOI · Paper page
- Ahmad, 2022, Evaluation of a real-time computer-aided polyp detection system during screening colonoscopy: AI-DETECT study, Endoscopy, 55, 313
- Wei, 2023, Evaluation of computer aided detection during colonoscopy in the community (AI-SEE): A multicenter randomized clinical trial, Am J Gastroenterol, 118, 1841, 10.14309/ajg.0000000000002239 · DOI
- Troya, 2022, The influence of computer-aided polyp detection systems on reaction time for polyp detection and eye gaze, Endoscopy, 54, 1009, 10.1055/a-1770-7353 · DOI
- Quan, 2022, Clinical evaluation of a real-time artificial intelligence-based polyp detection system: A US multi-center pilot study, Sci Rep, 12, 6598, 10.1038/s41598-022-10597-y · DOI
- Shaukat, 2022, Computer-aided detection improves adenomas per colonoscopy for screening and surveillance colonoscopy: A randomized trial, Gastroenterology, 163, 732, 10.1053/j.gastro.2022.05.028 · DOI
- Fitting, 2022, A video based benchmark data set (ENDOTEST) to evaluate computer-aided polyp detection systems, Scand J Gastroenterol, 57, 1397, 10.1080/00365521.2022.2085059 · DOI
- Brand, 2022, Frame-by-frame analysis of a commercially available artificial intelligence polyp detection system in full-length colonoscopies, Digestion, 103, 378, 10.1159/000525345 · DOI
Cited by
Sorted by citations
Enhancing human-AI collaboration: The case of colonoscopy
Introzzi, L., Zonca, J., Cabitza, F., Cherubini, P., & Reverberi, C. (2024) · Digestive and Liver Disease · doi:10.1016/j.dld.2023.10.018 · Cited by 28
Metadata
- Authors
- Berzin, T. M., & Glissen Brown, J.
- Affiliations
- Beth Israel Deaconess Medical Center (US)
- Division of Gastroenterology, Duke University Medical Center, Durham, North Carolina, USA.
- Corresponding author
- Berzin, Tyler M.
- ORCID
- Berzin, Tyler M.
- Venue
- American Journal of Gastroenterology
- Published
- 2023-08-22
- Volume
- 118
- Issue
- 10
- Pages
- 1743-1745
- ISSN
- 0002-9270 (ISSN-L)
- 1572-0241
- OpenAlex
- W4368360415
- Cited by
- 10
- References
- 3
- Citations by year
- 2025: 1 · 2024: 5 · 2023: 4
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- The American Journal of Gastroenterology (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Medicine › Oncology › Colorectal Cancer Screening and Detection
- Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
- Physical Sciences › Computer Science › Artificial Intelligence › AI in cancer detection
- Keywords
- CADE, computer-aided detection, colorectal polyp detection, artificial intelligence in endoscopy, colorectal cancer screening
- MeSH terms
- Colonic Polyps, Colonoscopy, Diagnosis, Computer-Assisted, Humans, Polyps, Colorectal Neoplasms, Juniperus
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- CoChat. (2026). Citation check: Navigating the “Trough of Disillusionment” for CADe Polyp Detection: What Can We Learn About Negative AI Trials and the Physician-AI Hybrid? https://app.cochat.ai/papers/10.14309/ajg.0000000000002286
- The paper
- Berzin, T. M., & Glissen Brown, J. (2023). Navigating the “Trough of Disillusionment” for CADe Polyp Detection: What Can We Learn About Negative AI Trials and the Physician-AI Hybrid? American Journal of Gastroenterology. https://doi.org/10.14309/ajg.0000000000002286
