La inteligencia artificial (IA) en tiempo real para la detección de pólipos colorrectales: retos y desafíos

Autores

DOI:

https://doi.org/10.22516/25007440.1444

Palavras-chave:

inteligencia artificial, pólipos colorrectales

Downloads

Não há dados estatísticos.

Biografia do Autor

David Páramo-Hernández, GutMédica Instituto de salud digestiva

Médico gastroenterólogo y epidemiólogo clínico. GutMédica, Instituto de salud digestiva. Editor Revista colombiana de Gastroenterología. Bogotá, Colombia.

Referências

Gómez Zuleta MA, Cano Rosales DF, Bravo Higuera DF, Ruano Balseca JA, Romero Castro E. Detección automática de pólipos colorrectales con técnicas de inteligencia artificial. Rev Colomb Gastroenterol. 2021:36(1):7-17. https://doi.org/10.22516/25007440.471

Páramo Hernández DB, Cepeda Vásquez RA. Inteligencia artificial: el futuro hecho realidad. Rev Colomb Gastroenterol. 2024:39(2):131-2. https://doi.org/10.22516/25007440.1236

Aponte-Martín DM, Salas-Robayo JS, Gaitán L, Huertas-Pacheco SJ, Córdoba AC, Vergara H, et al. Uso de inteligencia artificial en tiempo real durante la colonoscopia para la detección y caracterización de pólipos colorrectales. Revista. colomb. Gastroenterol. 2025;40(3):279-283. https://doi.org/10.22516/25007440.1425

Wang P, Berzin TM, Glissen Brown JR, Bharadwaj S, Becq A, Xiao X, et al. Real-time automatic detection system increases colonoscopic polyp and adenoma detection rates: a prospective randomised controlled study. Gut. 2019;68(10):1813-1819. https://doi.org/10.1136/gutjnl-2018-317500

Repici A, Badalamenti M, Maselli R, Correale L, Radaelli F, Rondonotti E, et al. Efficacy of Real-Time Computer-Aided Detection of Colorectal Neoplasia in a Randomized Trial. Gastroenterology. 2020;159(2):512-520.e7. https://doi.org/10.1053/j.gastro.2020.04.062

Hassan C, Spadaccini M, Mori Y, Foroutan F, Facciorusso A, Gkolfakis P, et al. Real-Time Computer-Aided Detection of Colorectal Neoplasia During Colonoscopy : A Systematic Review and Meta-analysis. Ann Intern Med. 2023;176(9):1209-1220. https://doi.org/10.7326/M22-3678

Bretthauer M, Ahmed J, Antonelli G, Beaumont H, Beg S, Benson A, et al. Use of computer-assisted detection (CADe) colonoscopy in colorectal cancer screening and surveillance: European Society of Gastrointestinal Endoscopy (ESGE) Position Statement. Endoscopy. 2025;57(6):667-673. https://doi.org/10.1055/a-2543-0370

Budzyń K, Romańczyk M, Kitala D, Kołodziej P, Bugajski M, Adami HO, et al. Endoscopist deskilling risk after exposure to artificial intelligence in colonoscopy: a multicentre, observational study. Lancet Gastroenterol Hepatol. 2025 Oct;10(10):896-903. https://doi.org/10.1016/S2468-1253(25)00133-5. Epub 2025 Aug 12. Erratum in: Lancet Gastroenterol Hepatol. 2025:S2468-1253(25)00294-8. https://doi.org/10.1016/S2468-1253(25)00294-8

Misawa M, Kudo SE, Mori Y. Computer-aided detection in real-world colonoscopy: enhancing detection or offering false hope? Lancet Gastroenterol Hepatol. 2023;8(8):687-688. https://doi.org/10.1016/S2468-1253(23)00166-8

Hassan C, Povero M, Pradelli L, Spadaccini M, Repici A. Cost-utility analysis of real-time artificial intelligence-assisted colonoscopy in Italy. Endosc Int Open. 2023;11(11):E1046-E1055. https://doi.org/10.1055/a-2136-3428

Lai WY, Lin KW, Ling LP, Li JW, Lau LHS, Chiu PWY. Artificial Intelligence in Colonoscopy: Where Are We Now in 2024? Digestion. 2025:1-14. https://doi.org/10.1159/000544030

Publicado

2025-09-30

Como Citar

Páramo Hernández, D. B. (2025). La inteligencia artificial (IA) en tiempo real para la detección de pólipos colorrectales: retos y desafíos. Revista Colombiana De Gastroenterologia, 40(3), 277–278. https://doi.org/10.22516/25007440.1444

Edição

Seção

Editorial