Scope of artificial intelligence in screening and diagnosis of colorectal cancer

Hemant Goyal, Rupinder Mann, Zainab Gandhi, Abhilash Perisetti, Aman Ali, Khizar Aman Ali, Neil Sharma, Shreyas Saligram, Benjamin Tharian, Sumant Inamdar

Producción científica: Review articlerevisión exhaustiva

38 Citas (Scopus)

Resumen

Globally, colorectal cancer is the third most diagnosed malignancy. It causes significant mortality and morbidity, which can be reduced by early diagnosis with an effective screening test. Integrating artificial intelligence (AI) and computer-aided detection (CAD) with screening methods has shown promising colorectal cancer screening results. AI could provide a “second look” for endoscopists to decrease the rate of missed polyps during a colonoscopy. It can also improve detection and characterization of polyps by integration with colonoscopy and various advanced endoscopic modalities such as magnifying narrow-band imaging, endocytoscopy, confocal endomicroscopy, laser-induced fluorescence spectroscopy, and magnifying chromoendoscopy. This descriptive review discusses various AI and CAD applications in colorectal cancer screening, polyp detection, and characterization.

Idioma originalEnglish (US)
Número de artículo3313
Páginas (desde-hasta)1-22
Número de páginas22
PublicaciónJournal of Clinical Medicine
Volumen9
N.º10
DOI
EstadoPublished - oct 2020

ASJC Scopus subject areas

  • General Medicine

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