Abstract Listings 2024

Purpose

Artificial intelligence (AI) is a general term referring to all the techniques that enable computers to mimic human intelligence. In recent years, the application scope of AI has gradually expanded in the medical field, becoming one of the hot spots of medical research. This narrative review aims to analyze whether AI and its subsets, especially digital photography, are implemented in the current clinical field of the ocular surface and to describe its current state of research.

Methods

We performed a narrative review of the literature on Scopus, PubMed and Cochrane databases. The research string comprised various combinations of “artificial intelligence”, “machine learning”, “computer aided”, “ocular surface”, “eyelid”, “periorbital”, “anthropometry”, “three-dimensional imaging”, and “anatomic landmarks”. The databases were searched independently by two authors. A third reviewer would mediate any disagreement between the results of the two screeners.

Results

The application of AI and digital photography has shown excellent results in different aspects of the field of the ocular surface, including the perioperative process, pre-, intra-, and postoperative ones of ophthalmic plastic surgery. Additionally, it can perform different and specific tasks, using various techniques to evaluate ocular surface diseases.

Conclusion

AI is an advanced assistive tool that can reduce time and economic costs and help physicians provide better and more efficient medical care to patients. The advantages of AI make it great potential and social value for solving the pain points and difficulties of the medical industry. It is believed that in the future, AI will be able to show its strengths in the field of ophthalmology and make more outstanding contributions to the development of medical care.

Additional Authors

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