The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Artificial Intelligence-Assisted Polyp Detection for Colonoscopy: Initial Experience
Open accessAbstract
The adenoma detection rate is an established quality indicator for colonoscopy. For instance, a 1% increase in the adenoma detection rate was associated with a 3% decrease in interval colorectal cancer incidence.1 However, a previous meta-analysis showed that approximately 26% of neoplastic diminutive polyps were missed in single colonoscopy.2 Two factors are considered to affect this rate; one is blind spots and the other is human error. The first factor could be solved using a wide-angle scope or distal attachments, but human error is not easily overcome.
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Cites
Learning Spatiotemporal Features with 3D Convolutional Networks
Tran, D., Bourdev, L., Fergus, R., Torresani, L., & Paluri, M. (2015) · 2015 IEEE International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.2015.510 · Cited by 9,593
Adenoma detection rate and risk of colorectal cancer and death
Corley, D. A., Jensen, C. D., Marks, A. R., Zhao, W. K., Lee, J. K., Doubeni, C. A., Zauber, A. G., de Boer, J., Fireman, B. H., Schottinger, J. E., et al. (2014) · New England Journal of Medicine · doi:10.1056/nejmoa1309086 · Cited by 2,270
Fernández-Esparrach, G., Bernal, J., López-Cerón, M., Córdova, H., Sánchez-Montes, C., Rodríguez de Miguel, C., & Sánchez, F. (2016) · Endoscopy · doi:10.1055/s-0042-108434 · Cited by 146
Cited by
Wang, P., Berzin, T. M., Glissen Brown, J. R., Bharadwaj, S., Becq, A., Xiao, X., Liu, P., Li, L., Song, Y., Zhang, D., et al. (2019) · Gut · doi:10.1136/gutjnl-2018-317500 · Cited by 865
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
Signaling pathways involved in colorectal cancer: pathogenesis and targeted therapy
Li, Q., Geng, S., Luo, H., Wang, W., Mo, Y.-Q., Luo, Q., Wang, L., Song, G.-B., Sheng, J.-P., & Xu, B. (2024) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-024-01953-7 · Cited by 546
Application of artificial intelligence in gastroenterology
Yang, Y. J., & Bang, C. S. (2019) · World Journal of Gastroenterology · doi:10.3748/wjg.v25.i14.1666 · Cited by 263
Xu, 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
Metadata
- Authors
- Misawa, M., Kudo, S.-E., Mori, Y., Cho, T., Kataoka, S., Yamauchi, A., Ogawa, Y., Maeda, Y., Takeda, K., Ichimasa, K., Nakamura, H., Yagawa, Y., Toyoshima, N., Ogata, N., Kudo, T., Hisayuki, T., Hayashi, T., Wakamura, K., Baba, T., Ishida, F., Itoh, H., Roth, H., Oda, M., & Mori, K.
- Venue
- Gastroenterology
- Publisher
- Elsevier BV
- Published
- 2018-06
- Volume
- 154
- Issue
- 8
- Pages
- 2027-2029.e3
- ISSN
- 0016-5085 (ISSN-L)
- OpenAlex
- W2797069348
- Cited by
- 394
- References
- 3
- FWCI
- 15.92
- Type
- journal article
- Language
- en
- Open access
- hybrid
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- Misawa, M., Kudo, S.-E., Mori, Y., Cho, T., Kataoka, S., Yamauchi, A., Ogawa, Y., Maeda, Y., Takeda, K., Ichimasa, K., Nakamura, H., Yagawa, Y., Toyoshima, N., Ogata, N., Kudo, T., Hisayuki, T., Hayashi, T., Wakamura, K., Baba, T., . . . Mori, K. (2018). Artificial Intelligence-Assisted Polyp Detection for Colonoscopy: Initial Experience. Gastroenterology. https://doi.org/10.1053/j.gastro.2018.04.003
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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