Artificial Intelligence in Oculoplastics: A Survey-Based Study on Provider Perspective
Purpose This survey aims to explore the attitudes of ophthalmologist oculoplastic surgeons in the United Kingdom (UK) towards specific advances in artificial intelligence (AI). Methods A web-based anonymised survey was distributed to oculoplastic surgeons in the UK between October 2023 and March 2024. The survey evaluated attitudes towards specific AI advances using a five-point scale. Questions were designed to ascertain understanding, application, as well as attitudes towards anticipated future developments, barriers and challenges of AI within the current oculoplastic clinical landscape. Results In total, 77 survey responses were analysed from oculoplastic surgeons practising around the UK. The majority of the responses were from oculoplastic consultants (64%, 44/69), with other responses from oculoplastic fellows (12%, 8/69), ophthalmology consultants (10%, 7/69), speciality training surgeons (6%, 4/69) and other ophthalmology clinicians (9%). The responses highlighted that there is a widespread level of subjective understanding of the topic of AI, a low level of current AI in clinical practice and an anticipation that AI will have a noticeable impact in the next one to five years (45%, 29/64) or five to 10 years (36%, 23/64) in the UK. Specific applications of applications of AI are also discussed in further detail. Conclusions Oculoplastic surgeons feel that AI will have an imminent role in this speciality, but there is a low level of self-rated knowledge and low current use of AI in clinical practice. Given the potential of this technology, further resources need to be invested into equipping Oculoplastic surgeons to feel more prepared for this technological revolution.
Authors
- Malik Moledina (ORCID: https://orcid.org/0000-0003-3554-7797)
- Balázs Fazekas
- Nehal Singhania
- Katya Tambe
Institutions
- Nottingham University Hospitals NHS Trust (GB)
- Queen Victoria Hospital (GB)
Publication Details
- Journal
- Cureus
- Published
- 2025-03-27
- DOI
- https://doi.org/10.7759/cureus.81271
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 0.00