The Medtronic GI Genius ColonPro polyp detection system identifies potential signs of colon cancer in real-time during colonoscopies. [Photo courtesy of Medtronic]
The Medtronic GI Genius’ ColonPro app is one of the best examples of how artificial intelligence in medtech can save lives — and Cosmo Intelligent Medical Devices deserves much of the credit.
The Cosmo Pharmaceuticals division developed the neural networks that allow ColonPro to spot signs of colon cancer that physicians might miss during a colonoscopy. It was the first and only AI system for colonoscopy when it won FDA de novo clearance in 2021 .
This year, Medtronic and the Cosmo AI team unveiled the latest version , which improved polyp detection, included new features like automated procedure highlights, and opened the GI Genius operating system up to third-party software developers .
Medical Design & Outsourcing interviewed Cosmo Intelligent Medical Devices President Nhan Ngo Dinh and Science, AI and Data SVP Andrea Cherubini to learn more about the system’s development and what tips and advice they had for other device developers.
(Editor’s note: While MDO prefers live interviews to offer readers medtech expertise without the filter of marketing or public relations staff, we conducted this Q&A by email through a Medtronic representative because Cherubini and Ngo Dinh live and work in Italy. The following has been lightly edited for space and clarity.) MDO: How did you improve the system’s ability to detect polyps?
Andrea Cherubini is SVP of science, AI and data at Cosmo Intelligent Medical Devices [Photo courtesy of Cosmo]
Cherubini: “We improved the system’s ability to detect polyps by combining innovative AI training strategies, advanced machine learning algorithms, and expert annotations from gastroenterologists.
“First, we significantly expanded our training dataset for colonoscopy procedures, doubling the number of patients used for training our AI. This was achieved through partnerships with 50% more endoscopy centers worldwide, providing a broader range of images and scenarios to train on.“Second, we focused on understanding why lesions were missed during colonoscopies. We leveraged generative AI techniques to artificially augment these situations, simulating the types of errors that human clinicians might make when performing colonoscopies.“Finally, […]
How Cosmo cranked up the cancer-catching AI behind Medtronic’s GI Genius ColonPro
