TY - JOUR
T1 - Framework and metrics for the clinical use and implementation of artificial intelligence algorithms into endoscopy practice
T2 - recommendations from the American Society for Gastrointestinal Endoscopy Artificial Intelligence Task Force
AU - Parasa, Sravanthi
AU - Repici, Alessandro
AU - Berzin, Tyler
AU - Leggett, Cadman
AU - Gross, Seth A.
AU - Sharma, Prateek
N1 - Publisher Copyright:
© 2022 American Society for Gastrointestinal Endoscopy
PY - 2023
Y1 - 2023
N2 - In the past few years, we have seen a surge in the development of relevant artificial intelligence (AI) algorithms addressing a variety of needs in GI endoscopy. To accept AI algorithms into clinical practice, their effectiveness, clinical value, and reliability need to be rigorously assessed. In this article, we provide a guiding framework for all stakeholders in the endoscopy AI ecosystem regarding the standards, metrics, and evaluation methods for emerging and existing AI applications to aid in their clinical adoption and implementation. We also provide guidance and best practices for evaluation of AI technologies as they mature in the endoscopy space. Note, this is a living document; periodic updates will be published as progress is made and applications evolve in the field of AI in endoscopy.
AB - In the past few years, we have seen a surge in the development of relevant artificial intelligence (AI) algorithms addressing a variety of needs in GI endoscopy. To accept AI algorithms into clinical practice, their effectiveness, clinical value, and reliability need to be rigorously assessed. In this article, we provide a guiding framework for all stakeholders in the endoscopy AI ecosystem regarding the standards, metrics, and evaluation methods for emerging and existing AI applications to aid in their clinical adoption and implementation. We also provide guidance and best practices for evaluation of AI technologies as they mature in the endoscopy space. Note, this is a living document; periodic updates will be published as progress is made and applications evolve in the field of AI in endoscopy.
UR - http://www.scopus.com/inward/record.url?scp=85147678956&partnerID=8YFLogxK
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U2 - 10.1016/j.gie.2022.10.016
DO - 10.1016/j.gie.2022.10.016
M3 - Article
AN - SCOPUS:85147678956
SN - 0016-5107
JO - Gastrointestinal Endoscopy
JF - Gastrointestinal Endoscopy
ER -