The Evolving Role of Artificial Intelligence in Gastrointestinal Histopathology: An Update

D Chamil Codipilly; Shahriar Faghani; Catherine Hagan; Jason Lewis; Bradley J Erickson; Prasad G Iyer

doi:10.1016/j.cgh.2023.11.044

The Evolving Role of Artificial Intelligence in Gastrointestinal Histopathology: An Update

Clin Gastroenterol Hepatol. 2023 Dec 26:S1542-3565(23)01050-9. doi: 10.1016/j.cgh.2023.11.044. Online ahead of print.

Authors

D Chamil Codipilly¹, Shahriar Faghani², Catherine Hagan³, Jason Lewis⁴, Bradley J Erickson², Prasad G Iyer⁵

Affiliations

¹ Barrett's Esophagus Unit, Division of Gastroenterology and Hepatology, Mayo Clinic Rochester, Rochester, Minnesota.
² Mayo Artificial Intelligence Laboratory, Department of Radiology, Mayo Clinic, Rochester, Minnesota.
³ Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota.
⁴ Department of Pathology, Mayo Clinic, Jacksonville, Florida.
⁵ Barrett's Esophagus Unit, Division of Gastroenterology and Hepatology, Mayo Clinic Rochester, Rochester, Minnesota. Electronic address: iyer.prasad@mayo.edu.

PMID: 38154727
DOI: 10.1016/j.cgh.2023.11.044

Abstract

Significant advances in artificial intelligence (AI) over the past decade potentially may lead to dramatic effects on clinical practice. Digitized histology represents an area ripe for AI implementation. We describe several current needs within the world of gastrointestinal histopathology, and outline, using currently studied models, how AI potentially can address them. We also highlight pitfalls as AI makes inroads into clinical practice.

Keywords: Artificial Intelligence; Deep Learning; Digital Histopathology.

Publication types

Review