Artificial intelligence in gastrointestinal endoscopy Evolution to a new era
Ortiz, Oswaldo; Fernández-Esparrach, Glòria; Daca, María; Pellisé, María.
Rev. esp. enferm. dig
; 114(10): 605-615, octubre 2022. ilus, tab
Artículo
en Inglés
| IBECS (España) | ID: ibc-210776
Artificial intelligence (AI) systems based on machine learning have evolved in the last few years with increasing applicability in gastrointestinal endoscopy. Thanks to AI, animage (input) can be transformed into a clinical decision(output). Although AI systems have been studied mainly toimprove detection (CADe) and characterization of colorectalpolyps (CADx), other indications are being currently investigated, including detection of blind spots, scope guidance,and delineation/measurement of lesions.The objective of this review is to summarize the current evidence on the applicability of AI systems in gastrointestinalendoscopy, to highlight the strengths and limitations of thetechnology involved, and to review the relevant regulatoryand ethical aspects for general implementation in gastrointestinal endoscopy. (AU)
Biblioteca responsable:
ES1.1
Ubicación: ES15.1 - BNCS
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