Computer-aided detection in real-world colonoscopy: enhancing detection or offering false hope?
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Most of those studies also found increased detection of diminutive adenomas (≤5 mm), which are very rarely malignant.
“However, most of these same studies also found an increased detection rate of diminutive adenomas (defined as polyps ≤5 mm in size), which are very rarely malignant (23,24).”
From Artificial Intelligence in Oncology: Current Landscape, Challenges, and Future Directions (2024) · cites this paper as [24]
Cites
Colonoscopic Polypectomy and Long-Term Prevention of Colorectal-Cancer Deaths
Zauber, A. G., Winawer, S. J., O’Brien, M. J., Lansdorp‐Vogelaar, I., van Ballegooijen, M., Hankey, B. F., Shi, W., Bond, J. H., Schapiro, M., Panish, J. F., et al. (2012) · New England Journal of Medicine · doi:10.1056/nejmoa1100370 · Cited by 3,185 · see citing works
Quality Indicators for Colonoscopy and the Risk of Interval Cancer
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Polyp Miss Rate Determined by Tandem Colonoscopy: A Systematic Review
van Rijn, J. C., Reitsma, J. B., Stoker, J., Bossuyt, P. M., van Deventer, S. J. H., & Dekker, E. (2006) · The American Journal of Gastroenterology · doi:10.1111/j.1572-0241.2006.00390.x · Cited by 1,343 · see citing works
Efficacy of real-time computer-aided detection of colorectal neoplasia in a randomized trial
Repici, A., Badalamenti, M., Maselli, R., Correale, L., Radaelli, F., Rondonotti, E., Ferrara, E., Spadaccini, M., Alkandari, A., Fugazza, A., et al. (2020) · Gastroenterology · doi:10.1053/j.gastro.2020.04.062 · Cited by 646 · see citing works
Barua, I., Vinsard, D. G., Jodal, H. C., Løberg, M., Kalager, M., Holme, Ø., Misawa, M., Bretthauer, M., & Mori, Y. (2021) · Endoscopy · doi:10.1055/a-1201-7165 · Cited by 271 · see citing works
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Current status and future perspective on artificial intelligence for lower endoscopy
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Clinical trial designs for artificial intelligence in gastrointestinal endoscopy
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Artificial Intelligence in Oncology: Current Landscape, Challenges, and Future Directions
Lotter, W., Hassett, M. J., Schultz, N., Kehl, K. L., Van Allen, E. M., & Cerami, E. (2024) · Cancer Discovery · doi:10.1158/2159-8290.cd-23-1199 · Cited by 196 · see citing works
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Precision Oncology: Current Landscape, Emerging Trends, Challenges, and Future Perspectives
Qiao, D., Wang, R. C., & Wang, Z. (2025) · Cells · doi:10.3390/cells14221804 · Cited by 38 · see citing works
Lui, T. K.-L., Ko, M. K.-L., To, E. W.-P., & Leung, W. K. (2025) · Gastrointestinal Endoscopy · doi:10.1016/j.gie.2025.01.036 · Cited by 7 · see citing works
Ma, B., & Meng, Q. (2024) · Gastrointestinal Endoscopy · doi:10.1016/j.gie.2024.02.034 · Cited by 1 · see citing works
Hernández, D. B. P. (2025) · Revista Colombiana de Gastroenterología · doi:10.22516/25007440.1444
- Authors
- Misawa, M., Kudo, S.-E., & Mori, Y.
- Affiliations
- SHOWA Medical University Northern Yokohama Hospital (JP)
- University of Oslo (NO)
- Corresponding author
- Misawa, Masashi
- Venue
- The Lancet Gastroenterology & Hepatology
- Publisher
- Elsevier BV
- Published
- 2023-08
- Volume
- 8
- Issue
- 8
- Pages
- 687-688
- ISSN
- 2468-1156 (ISSN-L)
- 2468-1253
- OpenAlex
- W4379014262
- Cited by
- 6
- References
- 10
- Citations by year
- 2025: 4 · 2024: 2
- FWCI
- 0.73
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- The Lancet. Gastroenterology & hepatology (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Japan Society for the Promotion of Science (23K24615)
- Topics
- Health Sciences › Medicine › Oncology › Colorectal Cancer Screening and Detection
- Physical Sciences › Computer Science › Artificial Intelligence › AI in cancer detection
- Health Sciences › Medicine › Oncology › Colorectal Cancer Surgical Treatments
- Keywords
- computer-aided detection, colonoscopy, colorectal cancer screening, adenoma detection rate, colorectal neoplasia, missed lesions, interval colorectal cancer, quality indicators
- MeSH terms
- Colonic Polyps, Colonoscopy, Computers, Humans
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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