Artificial intelligence in retinal imaging: current status and future prospects.
Expert Rev Med Devices
; 21(1-2): 73-89, 2024.
Article
em En
| MEDLINE
| ID: mdl-38088362
ABSTRACT
INTRODUCTION:
The steadily growing and aging world population, in conjunction with continuously increasing prevalences of vision-threatening retinal diseases, is placing an increasing burden on the global healthcare system. The main challenges within retinology involve identifying the comparatively few patients requiring therapy within the large mass, the assurance of comprehensive screening for retinal disease and individualized therapy planning. In order to sustain high-quality ophthalmic care in the future, the incorporation of artificial intelligence (AI) technologies into our clinical practice represents a potential solution. AREAS COVERED This review sheds light onto already realized and promising future applications of AI techniques in retinal imaging. The main attention is directed at the application in diabetic retinopathy and age-related macular degeneration. The principles of use in disease screening, grading, therapeutic planning and prediction of future developments are explained based on the currently available literature. EXPERT OPINION The recent accomplishments of AI in retinal imaging indicate that its implementation into our daily practice is likely to fundamentally change the ophthalmic healthcare system and bring us one step closer to the goal of individualized treatment. However, it must be emphasized that the aim is to optimally support clinicians by gradually incorporating AI approaches, rather than replacing ophthalmologists.Palavras-chave
Texto completo:
1
Base de dados:
MEDLINE
Assunto principal:
Inteligência Artificial
/
Retinopatia Diabética
Limite:
Humans
Idioma:
En
Revista:
Expert Rev Med Devices
Assunto da revista:
DIAGNOSTICO POR IMAGEM
/
TERAPEUTICA
Ano de publicação:
2024
Tipo de documento:
Article
País de afiliação:
Áustria