Assessing the Role of Artificial Intelligence in the Creation of Patient Educational Videos for Corneal Refractive Surgery
In their current state, AI text-to-video generators can produce surgical educational videos for patients with accurate script narration and high image clarity, although these platforms are not yet capable of producing medically accurate images to go along with these scripts. Further improvements in the medical accuracy of these images must be made to make these videos more appropriate for patient consumption.
Authors
- Phillip C. Hoopes (ORCID: https://orcid.org/0000-0002-2567-8331)
- Majid Moshirfar (ORCID: https://orcid.org/0000-0003-1024-6250)
- Kenneth D Han (ORCID: https://orcid.org/0009-0003-0830-4981)
- Muhammed A. Jaafar
- Kayvon A Moin
Institutions
- University of Phoenix (US)
- University of Utah (US)
- Minnesota Lions Eye Bank (US)
- Hoopes Vision (US)
- Phoenix College (US)
- American University of the Caribbean School of Medicine (SX)
Publication Details
- Journal
- Cureus
- Published
- 2024-10-14
- DOI
- https://doi.org/10.7759/cureus.71447
- Citations
- 5
- Primary Topic
- Surgical Simulation and Training
- Type
- article
- Field-Weighted Citation Impact
- 2.86