Generative artificial intelligence in ophthalmology: current innovations, future applications and challenges
Küçük Resim Yok
Tarih
2024
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Bmj Publishing Group
Erişim Hakkı
info:eu-repo/semantics/openAccess
Özet
The rapid advancements in generative artificial intelligence are set to significantly influence the medical sector, particularly ophthalmology. Generative adversarial networks and diffusion models enable the creation of synthetic images, aiding the development of deep learning models tailored for specific imaging tasks. Additionally, the advent of multimodal foundational models, capable of generating images, text and videos, presents a broad spectrum of applications within ophthalmology. These range from enhancing diagnostic accuracy to improving patient education and training healthcare professionals. Despite the promising potential, this area of technology is still in its infancy, and there are several challenges to be addressed, including data bias, safety concerns and the practical implementation of these technologies in clinical settings.
Açıklama
Anahtar Kelimeler
Public Health, Medical Education, Diagnostic Tests/Investigation, Prognosis
Kaynak
British Journal of Ophthalmology
WoS Q Değeri
N/A
Scopus Q Değeri
Q1
