Use of Artificial Intelligence in Endoscopic Training: Is Deskilling a Real Fear?

Sinagra, Emanuele; Rossi, Francesca; Raimondo, Dario

doi:10.1053/j.gastro.2020.12.065

Cited by 5 publications

(2 citation statements)

References 4 publications

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“…The others are the level of bowel preparation and the limitations of AI devices, the developed algorithms, sample size, and technical aspects (processors, etc.) [60,82].…”

Section: Limitations and Controversiesmentioning

confidence: 99%

“…Although this makes screening more efficient, it might impair the capability of young trainee endoscopists to rely on their skills. This issue was brought up by Sinagra et al in a commentary [82]. According to the authors, future studies on AI in endoscopy should include endoscopists of various experiences, and AIaided systems should be carefully implemented in training programs.…”

Section: Limitations and Controversiesmentioning

confidence: 99%

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Third Eye? The Assistance of Artificial Intelligence (AI) in the Endoscopy of Gastrointestinal Neoplasms

Leśniewska,

Patryn,

Kopystecka

et al. 2023

JCM

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Gastrointestinal cancers are characterized by high incidence and mortality. However, there are well-established methods of screening. The endoscopy exam provides the macroscopical image and enables harvesting the tissue samples for further histopathological diagnosis. The efficiency of endoscopies relies not only on proper patient preparation, but also on the skills of the personnel conducting the exam. In recent years, a number of reports concerning the application of artificial intelligence (AI) in medicine have arisen. Numerous studies aimed to assess the utility of deep learning/ neural network systems supporting endoscopies. In this review, we summarized the most recent reports and randomized clinical trials regarding the application of AI in screening and surveillance of gastrointestinal cancers among patients suffering from esophageal, gastric, and colorectal cancer, along with the advantages, limitations, and controversies of those novel solutions.

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“…The others are the level of bowel preparation and the limitations of AI devices, the developed algorithms, sample size, and technical aspects (processors, etc.) [60,82].…”

Section: Limitations and Controversiesmentioning

confidence: 99%

Section: Limitations and Controversiesmentioning

confidence: 99%