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Articles Published Processes
9/1/2026 7:02:57 AM | Browse: 2 | Download: 0
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Received |
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2025-11-10 05:08 |
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Peer-Review Started |
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2025-11-10 05:10 |
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First Decision by Editorial Office Director |
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2026-01-21 07:29 |
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Return for Revision |
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2026-01-21 07:29 |
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Revised |
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2026-02-03 14:23 |
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Publication Fee Transferred |
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Second Decision by Editor |
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2026-03-19 02:33 |
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Second Decision by Editor-in-Chief |
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Final Decision by Editorial Office Director |
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2026-03-19 06:17 |
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Articles in Press |
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2026-03-19 06:17 |
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Edit the Manuscript by Language Editor |
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Typeset the Manuscript |
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2026-07-07 13:04 |
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Publish the Manuscript Online |
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2026-09-01 07:02 |
| ISSN |
2644-3260 (online) |
| Open Access |
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution-NonCommercial (CC BY-NC 4.0) license. No commercial re-use. See Permissions. Published by Baishideng Publishing Group Inc. |
| Copyright |
©Author(s) (or their employer(s)) 2026. No commercial re-use. See Permissions. Published by Baishideng Publishing Group Inc. |
| Article Reprints |
For details, please visit: http://www.wjgnet.com/bpg/gerinfo/247
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| Permissions |
For details, please visit: http://www.wjgnet.com/bpg/gerinfo/207
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| Publisher |
Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA |
| Website |
http://www.wjgnet.com |
| Category |
Ophthalmology |
| Manuscript Type |
Minireviews |
| Article Title |
Artificial intelligence in oculoplasty: Current applications and future perspectives
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| Manuscript Source |
Invited Manuscript |
| All Author List |
Bijnya Birajita Panda, Thilakraj Koppalu Lingaraju, Priyadarshini Mishra and Bhagabat Nayak |
| ORCID |
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| Funding Agency and Grant Number |
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| Corresponding Author |
Bijnya Birajita Panda, Assistant Professor, Department of Ophthalmology, All India Institute of Medical Sciences, Sijua, Patrapada, Bhubaneswar 751019, Odisha, India. bigyan_panda@yahoo.co.in |
| Key Words |
Artificial intelligence; Machine learning; Deep learning; Oculoplastic surgery; Periocular imaging; Thyroid eye disease; Lacrimal surgery |
| Core Tip |
Artificial intelligence (AI) is rapidly transforming the landscape of oculoplasty, extending its impact beyond retinal and corneal imaging into eyelid, orbital, lacrimal, and reconstructive surgery. AI-driven systems now automate periocular measurements, detect and classify orbital tumors, assist in dacryocystorhinostomy planning, and predict postoperative aesthetic outcomes, enabling greater precision, consistency, and efficiency. However, clinical adoption remains limited by small, heterogeneous datasets, imaging variability, and ethical or regulatory challenges. Continued collaboration between clinicians, data scientists, and engineers is essential to develop validated, transparent, and user-friendly tools. As multimodal AI platforms, robotic-assisted surgery, and tele-oculoplasty advance, they promise to usher in a new era of personalized, data-driven oculoplastic care – seamlessly combining surgical expertise with intelligent technology to enhance both functional and aesthetic outcomes. |
| Publish Date |
2026-09-01 07:02 |
| Citation |
Panda BB, Koppalu Lingaraju T, Mishra P, Nayak B. Artificial intelligence in oculoplasty: Current applications and future perspectives. Artif Intell Med Imaging 2026; 7(1): 116377
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| URL |
https://www.wjgnet.com/2644-3260/full/v7/i1/116377.htm |
| DOI |
https://doi.org/10.35711/aimi.v7.i1.116377 |
Copyright © 1993-2026 Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA. All rights reserved, including rights relating to text and data mining, AI training, and similar technologies. For open-access content, the applicable copyright and licensing terms govern.
