Diagnostic performance of artificial intelligence-based computed tomography methods in detecting pancreatic cancer: A systematic review and meta-analysis

Authors

Ibrahim Shanti, Marshall University, Huntington, WV
Malik Samardali, St. Elizabeth Youngstown Hospital/NEOMED Program, Youngstown, OH
Tejas V. Joshi, LSU Health Sciences Center - New Orleans
Adamsegd Isac Gebremedhen, Marshall University, Huntington, WV
Wesam M . Frandah, TTUHSC, Lubbock, TX

Document Type

Conference Proceeding

Publication Date

5-28-2025

Publication Title

Journal of Clinical Oncology

Abstract

2025 ASCO Annual Meeting I, May 30-June 3, 2025, Chicago, IL

Volume

43

Issue

16, Supplement

Comments

Abstract e16372

Rights

© 2024, Wolters Kluwer Health

Recommended Citation

Shanti, Ibrahim; Samardali, Malik; Joshi, Tejas V.; Gebremedhen, Adamsegd Isac; and Frandah, Wesam M ., "Diagnostic performance of artificial intelligence-based computed tomography methods in detecting pancreatic cancer: A systematic review and meta-analysis" (2025). School of Medicine Faculty Publications. 4135.
https://digitalscholar.lsuhsc.edu/som_facpubs/4135
10.1200/JCO.2025.43.16_suppl.e16372