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9/3/2025 2:13:54 AM | Browse: 46 | Download: 57
Publication Name Artificial Intelligence in Medical Imaging
Manuscript ID 108028
Country United States
Received
2025-04-03 03:10
Peer-Review Started
2025-04-03 03:11
To Make the First Decision
Return for Revision
2025-05-12 10:16
Revised
2025-05-25 16:14
Second Decision
2025-08-11 02:52
Accepted by Journal Editor-in-Chief
Accepted by Executive Editor-in-Chief
2025-08-12 02:48
Articles in Press
2025-08-12 02:48
Publication Fee Transferred
Edit the Manuscript by Language Editor
Typeset the Manuscript
2025-08-21 06:32
Publish the Manuscript Online
2025-09-03 02:10
ISSN 2644-3260 (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: http://creativecommons.org/licenses/by-nc/4.0/
Copyright ©The Author(s) 2025. Published by Baishideng Publishing Group Inc. All rights reserved.
Article Reprints For details, please visit: http://www.wjgnet.com/bpg/gerinfo/247
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
Category Surgery
Manuscript Type Systematic Reviews
Article Title Applications and challenges of artificial intelligence in plastic surgery imaging: A narrative review
Manuscript Source Invited Manuscript
All Author List Mohammed Ahmed Yamin, Tricia Mae Raquepo, Micaela Tobin, Agustin N Posso and Ryan P Cauley
Funding Agency and Grant Number
Corresponding Author Ryan P Cauley, Assistant Professor, FACS, MD, Division of Plastic and Reconstructive Surgery, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA 02115, United States. rcauley@bidmc.harvard.edu
Key Words Artificial intelligence; Plastic surgery; Medical imaging; Machine learning; Augmented reality; Surgical navigation; Postoperative monitoring; Risk prediction
Core Tip This narrative review demonstrates the promise of artificial intelligence (AI) applications in medical imaging for plastic and reconstructive surgery, such as preoperative planning with augmented reality, intraoperative surgical guidance, and deep learning for detecting postoperative complications. However, concerns remain regarding regulatory processes, AI bias, and data standardization. Understanding AI-driven imaging technologies will be crucial for safe clinical implementation.
Publish Date 2025-09-03 02:10
Citation <p>Yamin MA, Raquepo TM, Tobin M, Posso AN, Cauley RP. Applications and challenges of artificial intelligence in plastic surgery imaging: A narrative review. <i>Artif Intell Med Imaging</i> 2025; 6(2): 108028</p>
URL https://www.wjgnet.com/2644-3260/full/v6/i2/108028.htm
DOI https://dx.doi.org/10.35711/aimi.v6.i2.108028
Full Article (PDF) AIMI-6-108028-with-cover.pdf
PRISMA 2009 Checklist 108028-PRISMA-2009-Checklist.pdf
Manuscript File 108028_Auto_Edited_013605.docx
Answering Reviewers 108028-answering-reviewers.pdf
Audio Core Tip 108028-audio.aac
Biostatistics Review Certificate 108028-biostatistics-statement.pdf
Conflict-of-Interest Disclosure Form 108028-conflict-of-interest-statement.pdf
Copyright License Agreement 108028-copyright-assignment.pdf
Peer-review Report 108028-peer-reviews.pdf
Scientific Misconduct Check 108028-scientific-misconduct-check.png
Scientific Editor Work List 108028-scientific-editor-work-list.pdf
CrossCheck Report 108028-crosscheck-report.pdf