Publication Name	World Journal of Clinical Oncology
Manuscript ID	107246
Country	Türkiye

Category	Surgery
Manuscript Type	Minireviews
Article Title	Edge learning applications in the prediction and classification of combined hepatocellular-cholangiocarcinoma: A comprehensive narrative review
Manuscript Source	Invited Manuscript
All Author List	Sami Akbulut and Cemil Colak
Funding Agency and Grant Number
Corresponding Author	Sami Akbulut, Department of Surgery and Liver Transplantation, Inonu University Faculty of Medicine, Elazig Yolu 10. Km, Malatya 44280, Türkiye. akbulutsami@gmail.com
Key Words	Edge learning; Combined hepatocellular-cholangiocarcinoma; Artificial intelligence; Disease prediction; Diagnostic accuracy
Core Tip	Edge learning presents a novel approach in combined hepatocellular-cholangiocarcinoma diagnosis and classification, leveraging decentralized artificial intelligence for real-time processing and enhanced data privacy. Unlike traditional cloud-based artificial intelligence, edge learning enables on-site analysis of histopathological features and medical imaging (computed tomography, magnetic resonance imaging) while reducing latency and bandwidth usage. This review explores its technical integration, including federated learning, deep learning optimizations (convolutional neural networks, pruning, quantization), and privacy-preserving artificial intelligence frameworks. By overcoming challenges like diagnostic complexity and data security, edge learning enhances clinical decision-making, treatment planning, and diagnostic accuracy, offering a transformative potential in precision oncology and liver cancer management.
Citation	Akbulut S, Colak C. Edge learning applications in the prediction and classification of combined hepatocellular-cholangiocarcinoma: A comprehensive narrative review. World J Clin Oncol 2025; In press

Received	2025-03-19 13:16
Peer-Review Started	2025-03-19 13:16
To Make the First Decision
Return for Revision	2025-04-16 10:40
Revised	2025-04-26 18:07
Second Decision	2025-06-18 02:39
Accepted by Journal Editor-in-Chief
Accepted by Executive Editor-in-Chief	2025-06-18 10:44
Articles in Press	2025-06-18 10:44
Publication Fee Transferred
Edit the Manuscript by Language Editor
Typeset the Manuscript

ISSN	2218-4333 (online)
Open Access	This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: https://creativecommons.org/Licenses/by-nc/4.0/
Copyright	© The Author(s) 2024. Published by Baishideng Publishing Group Inc. All rights reserved.
Permissions	For details, please visit: http://www.wjgnet.com/bpg/gerinfo/207
Publisher	Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA
Website	http://www.wjgnet.com