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Publication Name Artificial Intelligence in Medical Imaging
Manuscript ID 116377
Country India
Category Ophthalmology
Manuscript Type Minireviews
Article Title Artificial intelligence in oculoplasty: Current applications and future perspectives
Manuscript Source Invited Manuscript
All Author List Bijnya Birajita Panda, Thilakraj Koppalu Lingaraju, Priyadarshini Mishra and Bhagabat Nayak
Funding Agency and Grant Number
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.
Citation Panda BB, Koppalu Lingaraju T, Mishra P, Nayak B. Artificial intelligence in oculoplasty: Current applications and future perspectives. Artif Intell Med Imaging 2026; In press
Received
2025-11-10 05:08
Peer-Review Started
2025-11-10 05:10
First Decision by Editorial Office Director
2026-01-21 07:29
Return for Revision
2026-01-21 07:29
Revised
2026-02-03 14:23
Publication Fee Transferred
Second Decision by Editor
2026-03-19 02:33
Second Decision by Editor-in-Chief
Final Decision by Editorial Office Director
2026-03-19 06:17
Articles in Press
2026-03-19 06:17
Edit the Manuscript by Language Editor
Typeset the Manuscript
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.
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Publisher Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA
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