Assessment of Generative Artificial Intelligence (AI) Models in Creating Medical Illustrations for Various Corneal Transplant Procedures
AI is an extremely powerful and efficient tool for many tasks, but it is currently limited in producing accurate medical illustrations for corneal transplant procedures. Further development is required for generative AI models to create medically sound and accurate illustrations for use in ophthalmology.
Authors
- Phillip C. Hoopes (ORCID: https://orcid.org/0000-0002-2567-8331)
- Majid Moshirfar (ORCID: https://orcid.org/0000-0003-1024-6250)
- Bosten A Loveless
- Dallas J Petroff
- Ayesha A Nasir
- Omeed A Moshirfar
- Kayvon A Moin
Institutions
- Rocky Vista University (US)
- Meridian Institute (US)
- University of Louisville (US)
- Washington University in St. Louis (US)
- University of Utah (US)
- University of Louisville Hospital (US)
- Minnesota Lions Eye Bank (US)
- Eye Institute of Utah (US)
- Hoopes Vision (US)
- University of Louisville Physicians (US)
- American University of the Caribbean School of Medicine (SX)
Publication Details
- Journal
- Cureus
- Published
- 2024-08-26
- DOI
- https://doi.org/10.7759/cureus.67833
- Citations
- 11
- Primary Topic
- Corneal surgery and disorders
- Type
- article
- Field-Weighted Citation Impact
- 4.45