Cherubini Andrea, Dinh Nhan Ngo
Cosmo Intelligent Medical Devices, D02KV60 Dublin, Ireland.
Milan Center for Neuroscience, University of Milano-Bicocca, 20126 Milano, Italy.
Bioengineering (Basel). 2023 Mar 24;10(4):404. doi: 10.3390/bioengineering10040404.
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.
人工智能（AI）有潜力辅助内镜检查并改善决策，尤其是在人类可能做出不一致判断的情况下。在此背景下运行的医疗设备的性能评估是台架试验、随机对照试验以及关于医生与人工智能之间相互作用研究的复杂组合。我们回顾了已发表的关于GI Genius的科学证据，GI Genius是首款进入市场的用于结肠镜检查的人工智能驱动医疗设备，也是科学界测试最广泛的设备。我们概述了其技术架构、人工智能训练和测试策略以及监管途径。此外，我们讨论了当前平台的优势和局限性及其对临床实践的潜在影响。为了追求透明的人工智能，算法架构细节和用于训练人工智能设备的数据已向科学界披露。总体而言，首款用于实时视频分析的人工智能医疗设备代表了人工智能在内镜检查应用方面的重大进步，并且有潜力提高结肠镜检查程序的准确性和效率。
