Page 80 - ITPS-8-1

INNOSC Theranostics and
Pharmacological Sciences AI-driven innovations in endoscopy

2. Urban G, Tripathi P, Alkayali T, et al. Deep learning localizes and 8. Repici A, Badalamenti M, Maselli R, et al. Efficacy of real-
identifies polyps in real time with 96% accuracy in screening time computer-aided detection of colorectal neoplasia in a
colonoscopy. Gastroenterology. 2018;155(4):1069-1078.e8. randomized trial. Gastroenterology. 2020;159(2):512-520.e7.
doi: 10.1053/j.gastro.2018.06.037 doi: 10.1053/j.gastro.2020.04.062
3. Wang P, Berzin TM, Glissen Brown JR, et al. Real-time 9. Sanchez A, Ramaswamy A, Ghosh S, et al. Colorectal cancer
automatic detection system increases colonoscopic polyp screening and artificial intelligence. A narrative review.
and adenoma detection rates: A prospective randomised Cancer Med. 2021;10(7):2084-2091.
controlled study. Gut. 2019;68(10):1813-1819. 10. Smith J, Anderson B, Patel A, et al. Impact of AI on
doi: 10.1136/gutjnl-2018-317500 endoscopic skill variability: A global analysis. Endoscopy Int
Open. 2021;9(5):345-352.
4. Klare P, Sander C, Prinzen M, et al. Automated polyp
detection in the colorectum: A prospective study (with doi: 10.1055/a-1388-8884
videos). Gastrointest Endosc. 2019;89(3):576-582.e1. 11. Angermann Q, Staib L, Schmid M, et al. Development of AI
doi: 10.1016/j.gie.2018.09.042 in endoscopic imaging. Endoscopy. 2020;52(9):745-752.
5. Mori Y, Kudo SE, Misawa M, et al. Real-time use of doi: 10.1055/a-1141-1952
artificial intelligence in identification of diminutive polyps 12. Horiuchi A, Nakajima T, Suzuki H, et al. Regional variation
during colonoscopy: A prospective study. Ann Intern Med. in AI performance for lesion detection. World J Gastrointest
2018;169(6):357-366. Endosc. 2020;12(9):215-225.
doi: 10.7326/M18-0249 doi: 10.4253/wjge.v12.i9.215
6. Misawa M, Kudo SE, Mori Y, et al. Artificial intelligence- 13. Domenech P, Garcia J, Lopez L, et al. Ethical concerns
assisted polyp detection for colonoscopy: Initial experience. in AI-assisted diagnostics: Gastroenterology focus. Ann
Gastroenterology. 2018;154(8):2027-2029.e3. Gastroenterol. 2021;34(1):67-74.
doi: 10.1053/j.gastro.2018.04.003 doi: 10.20524/aog.2021.0590
7. Thomaidis T. AI applications in lower GI endoscopy: 14. Müller H, Schneider S, Braun A, et al. AI validation
A new frontier. World J Gastroenterol. 2020;26(12): challenges in gastrointestinal endoscopy: A systematic
1334-1342. review. BMC Gastroenterol. 2022;22(1):105.
doi: 10.3748/wjg.v26.i12.1334 doi: 10.1186/s12876-022-02237-x

Volume 8 Issue 1 (2025) 74 doi: 10.36922/itps.5143