TY - JOUR
T1 - The Evolving Role of Artificial Intelligence in Gastrointestinal Histopathology
T2 - An Update
AU - Codipilly, D. Chamil
AU - Faghani, Shahriar
AU - Hagan, Catherine
AU - Lewis, Jason
AU - Erickson, Bradley J.
AU - Iyer, Prasad G.
N1 - Publisher Copyright:
© 2023 AGA Institute
PY - 2024
Y1 - 2024
N2 - 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.
AB - 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.
KW - Artificial Intelligence
KW - Deep Learning
KW - Digital Histopathology
UR - http://www.scopus.com/inward/record.url?scp=85185508926&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85185508926&partnerID=8YFLogxK
U2 - 10.1016/j.cgh.2023.11.044
DO - 10.1016/j.cgh.2023.11.044
M3 - Review article
C2 - 38154727
AN - SCOPUS:85185508926
SN - 1542-3565
JO - Clinical Gastroenterology and Hepatology
JF - Clinical Gastroenterology and Hepatology
ER -