Author Correction: A novel AI device for real-time optical characterization of colorectal polyps

Biffi, Carlo; Salvagnini, Pietro; Dinh, Nhan Ngo; Hassan, Cesare; Sharma, Prateek; Antonelli, Giulio; Awadie, Halim; Bernhofer, Sebastian; Carballal, Sabela; Dinis-Ribeiro, Mário; Fernández-Clotet, A; Esparrach, Glòria Fernández; Gralnek, Ian M.; Higasa, Yuta; Hirabayashi, Taku; Hirai, Tatsuki; Iwatate, Mineo; Kawano, Miki; Mader, Markus; Maieron, A; Mattes, Sebastian; Nakai, Tastuya; Ordás, Íngrid; Ortigão, Raquel; Zúñiga, Oswaldo Ortiz; Pellisé, María; Pinto, Cláudia Lúcia de Oliveira; Riedl, Florian; Sánchez, Ariadna; Steiner, E; Tanaka, Yukari; Cherubini, Andrea

doi:10.1038/s41746-022-00669-8

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“…In this work, we provide an overview of the technology and scientific evidence behind GI Genius, the first AI-empowered medical device for colonoscopy to enter the endoscopy market [ 13 , 14 , 15 , 16 , 17 , 18 , 19 , 20 , 21 , 22 , 23 , 24 , 25 , 26 , 27 , 28 , 29 ]. In the following sections, we briefly describe the technical architecture of the hardware and software configuration, the AI algorithm training and testing strategies, and an update of the regulatory path.…”

Section: Introductionmentioning

confidence: 99%

A Review of the Technology, Training, and Assessment Methods for the First Real-Time AI-Enhanced Medical Device for Endoscopy

Cherubini

Dinh

2023

Bioengineering

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Artificial intelligence (AI) has the potential to assist in endoscopy and improve decision making, particularly in situations where humans may make inconsistent judgments. The performance assessment of the medical devices operating in this context is a complex combination of bench tests, randomized controlled trials, and studies on the interaction between physicians and AI. We review the scientific evidence published about GI Genius, the first AI-powered medical device for colonoscopy to enter the market, and the device that is most widely tested by the scientific community. We provide an overview of its technical architecture, AI training and testing strategies, and regulatory path. In addition, we discuss the strengths and limitations of the current platform and its potential impact on clinical practice. The details of the algorithm architecture and the data that were used to train the AI device have been disclosed to the scientific community in the pursuit of a transparent AI. Overall, the first AI-enabled medical device for real-time video analysis represents a significant advancement in the use of AI for endoscopies and has the potential to improve the accuracy and efficiency of colonoscopy procedures.

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