Discovering the first US FDA-approved computer-aided polyp detection system.
Marco SpadacciniGianluca FranchellucciPrateek SharmaCesare HassanAlessandro RepiciPublished in: Future oncology (London, England) (2022)
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).
Keyphrases
- artificial intelligence
- deep learning
- machine learning
- big data
- ultrasound guided
- loop mediated isothermal amplification
- drug administration
- real time pcr
- label free
- public health
- healthcare
- papillary thyroid
- mental health
- sensitive detection
- young adults
- quantum dots
- chronic rhinosinusitis
- endoscopic submucosal dissection
- lymph node metastasis