Advanced Imaging and Sampling in Barrett's Esophagus: Artificial Intelligence to the Rescue?

Maarten R. Struyvenberg, Albert J. de Groof, Jacques J. Bergman, Fons van der Sommen, Peter H.N. de With, Vani J.A. Konda, Wouter L. Curvers (Corresponding author)

Onderzoeksoutput: Bijdrage aan tijdschriftArtikel recenserenpeer review

1 Citaat (Scopus)

Samenvatting

Because the current Barrett's esophagus (BE) surveillance protocol suffers from sampling error of random biopsies and a high miss-rate of early neoplastic lesions, many new endoscopic imaging and sampling techniques have been developed. None of these techniques, however, have significantly increased the diagnostic yield of BE neoplasia. In fact, these techniques have led to an increase in the amount of visible information, yet endoscopists and pathologists inevitably suffer from variations in intra- and interobserver agreement. Artificial intelligence systems have the potential to overcome these endoscopist-dependent limitations.

Originele taal-2Engels
Pagina's (van-tot)91-103
Aantal pagina's13
TijdschriftGastrointestinal Endoscopy Clinics of North America
Volume31
Nummer van het tijdschrift1
DOI's
StatusGepubliceerd - jan 2021

Vingerafdruk Duik in de onderzoeksthema's van 'Advanced Imaging and Sampling in Barrett's Esophagus: Artificial Intelligence to the Rescue?'. Samen vormen ze een unieke vingerafdruk.

Citeer dit