ReviewActa gastroenterologica Latinoamericana
[The Era of Intelligent Endoscopy: How Artificial Intelligence Empowers Digestive Endoscopy].
Review in Acta gastroenterologica Latinoamericana. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Authors and funding
4 authors.
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Abstract
Artificial intelligence is a field of science and engineering that focuses on the computational understanding of intelligent behaviors and the creation of artifacts that exhibit such behaviors, enabling computers to function and think similarly to humans. This technology assists in overcoming the various challenges that healthcare professionals face, contributing to the diagnosis, management, and prognosis of patients. Currently, several artificial intelligence models have been developed in the field of digestive endoscopy, including some that enable the detection of anatomical structures that can aid in the training of medical professionals, serve as guides during endoscopic procedures, or assist in stratifying pre-malignant and malignant lesions. This reduces false negatives, providing timely treatments. Computerized lesion detection and diagnostic system exist for different segments of the digestive tract, each with specific functions that provide assistance during procedures. All of this has been done with the aim of reducing risks stemming from human and environmental factors, among others, which can affect early diagnosis and management of diseases. Artificial intelligence models for digestive endoscopy can not only enhance the visual impression for endoscopists but also reduce the learning curve through the application of precise technologies, thus bridging the gap between experienced and less experienced endoscopists. This article discusses the technological advancements of artificial intelligence in digestive endoscopy and related future aspects.
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