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Updated: Oct 5, 2025

Pulsed Laser Diode-Based Desktop Photoacoustic Tomography for Monitoring Wash-In and Wash-Out of Dye in Rat Cortical Vasculature
Published on: May 30, 2019
Discovering the first US FDA-approved computer-aided polyp detection system
Marco Spadaccini1,2, Alessandro De Marco1,2, Gianluca Franchellucci1,2
1Department of Biomedical Sciences, Humanitas University, Pieve Emanuele, Italy.
Abstract:
Colorectal cancer is the third most common cancer worldwide. Because of the slow progression of the precancerous precursors, an efficient endoscopic surveillance strategy may be expected. It seems that around one-fourth of colorectal malignancies are still missed during colonoscopy. Several endoscopic technologies have been introduced, without radical changes. Interest in the development of artificial intelligence applications in the medical field has grown in the past decade. Artificial intelligence can help to highlight a specific region of interest that needs closer examination for the identification of polyps. The aim of this review is to report the first clinical experiences with the first US FDA-approved, real-time, deep-learning, computer-aided detection system (GI Genius™, Medtronic).
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