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 [DOI: 10.35711/aimi.v7.i1.116377]
Corresponding Author of This Article
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
Research Domain of This Article
Ophthalmology
Article-Type of This Article
review-article
Open-Access Policy of This Article
This article is an open-access article which was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution Non Commercial (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/
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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 [DOI: 10.35711/aimi.v7.i1.116377]
Bijnya Birajita Panda, Thilakraj Koppalu Lingaraju, Priyadarshini Mishra, Bhagabat Nayak, Department of Ophthalmology, All India Institute of Medical Sciences, Bhubaneswar 751019, Odisha, India
Author contributions: Panda BB designed the concept of the review, wrote the manuscript, prepared the final figure and the final version of the manuscript after incorporating the added clinical inputs; Koppalu Lingaraju T, Mishra P, and Nayak B provided clinical inputs and critically analyzed the manuscript.
AI contribution statement: No portion of the Main Text of the manuscript was AI-generated. However, ChatGPT was used to modify the language of the text and then further modified by Grammarly for English grammar correction. AI tool ChatGPT was used for language polishing. It was not used for data analysis, any translation etc. AI tool did not participate in the design of the study or interpretation of the results.
Conflict-of-interest statement: All authors declare no conflict of interest in publishing the manuscript.
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
Received: November 10, 2025 Revised: February 3, 2026 Accepted: March 19, 2026 Published online: September 8, 2026 Processing time: 295 Days and 14.8 Hours
Core Tip
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.
