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REVIEW article

Front. Med.

Sec. Ophthalmology

Volume 12 - 2025 | doi: 10.3389/fmed.2025.1563891

This article is part of the Research TopicReviews in: Ophthalmology 2024View all 11 articles

AI-driven Strategies for Advancing Corneal Cell Therapy: A Promising Frontier

Provisionally accepted
Mahsa  Fallah TaftiMahsa Fallah Tafti1Masoud  Khorrami-NejadMasoud Khorrami-Nejad2Masoud  ArabfardMasoud Arabfard3Fatemeh  AfkhamizadehFatemeh Afkhamizadeh1Khosrow  JadidiKhosrow Jadidi1*Hossein  AghamollaeiHossein Aghamollaei1*
  • 1Vision Health Research Center, Semnan University of Medical Science, Semnan, Iran
  • 2Tehran University of Medical Sciences, Tehran, Iran
  • 3Molecular Biology Research Center, Baqiyatallah University of Medical Sciences, Tehran, Alborz, Iran

The final, formatted version of the article will be published soon.

Abstract 1 Cell-based therapies offer an alternative to corneal transplantation for the management of corneal 2 diseases. However, these approaches require a deeper understanding of the principles of cell 3 therapy, and the ability to predict and diagnose outcomes pre-and postoperatively is highly 4 desirable. Recently, the development of innovative techniques that leverage predefined data from 5 multiple cohorts with corneal diseases has received considerable attention. Approaches using 6 artificial intelligence (AI) can address major concerns in corneal cell therapy, including the 7 identification of novel biomarkers, improvements in cell delivery processes, and the acceleration 8 of personalized treatments. This review summarizes real-world examples of AI applications from 9 preclinical through clinical studies, with a focus on corneal cell-based therapies.

Keywords: artificial intelligence, Cornea, cell therapy, Regenerative Medicine, personalized medicine

Received: 20 Jan 2025; Accepted: 09 Sep 2025.

Copyright: © 2025 Fallah Tafti, Khorrami-Nejad, Arabfard, Afkhamizadeh, Jadidi and Aghamollaei. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence:
Khosrow Jadidi, Vision Health Research Center, Semnan University of Medical Science, Semnan, Iran
Hossein Aghamollaei, Vision Health Research Center, Semnan University of Medical Science, Semnan, Iran

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