With the emergence of unmanned plane, autonomous vehicles, face recognition, and language processing, the artificial intelligence (AI) has remarkably revolutionized our lifestyle. Recent studies indicate that AI has astounding potential to perform much better than human beings in some tasks, especially in the image recognition field. As the amount of image data in imaging center of ophthalmology is increasing dramatically, analyzing and processing these data is in urgent need. AI has been tried to apply to decipher medical data and has made extraordinary progress in intelligent diagnosis. In this paper, we presented the basic workflow for building an AI model and systematically reviewed applications of AI in the diagnosis of eye diseases. F...
The retinal disease is one of the most important challenges in the field of ophthalmology. Its patho...
Myopia is a global health issue, and the prevalence of high myopia has increased significantly in th...
Artificial intelligence has rapidly evolved from the experimental phase to the implementation phase ...
Artificial intelligence (AI) has emerged as a major frontier in healthcare and finds broad range of ...
With the rapid development of the modern artificial intelligent technology, the machine learning bas...
Technological developments in ophthalmic imaging and artificial intelligence (AI) create new possibi...
Artificial intelligence (AI) has emerged as a major frontier in computer science research. Although ...
Applications of artificial intelligence technology, especially deep learning, in ophthalmology resea...
Artificial intelligence (AI) studies in ophthalmology led to FDA-approved clinical diagnostic tools....
Artificial Intelligence is a rapidly expanding field within computer science that encompasses the em...
Artificial intelligence is a general term that means to accomplish a task mainly by a computer, with...
PURPOSE OF REVIEW: The application of artificial intelligence (AI) technologies in screening and dia...
Artificial Intelligence (AI) has been increasingly used in various fields of medicine. It involves t...
To prevent vision loss from eye diseases like glaucoma and retinopathy it is important to diagnose t...
Background: Having several applications in medicine, and in ophthalmology in particular, artificial ...
The retinal disease is one of the most important challenges in the field of ophthalmology. Its patho...
Myopia is a global health issue, and the prevalence of high myopia has increased significantly in th...
Artificial intelligence has rapidly evolved from the experimental phase to the implementation phase ...
Artificial intelligence (AI) has emerged as a major frontier in healthcare and finds broad range of ...
With the rapid development of the modern artificial intelligent technology, the machine learning bas...
Technological developments in ophthalmic imaging and artificial intelligence (AI) create new possibi...
Artificial intelligence (AI) has emerged as a major frontier in computer science research. Although ...
Applications of artificial intelligence technology, especially deep learning, in ophthalmology resea...
Artificial intelligence (AI) studies in ophthalmology led to FDA-approved clinical diagnostic tools....
Artificial Intelligence is a rapidly expanding field within computer science that encompasses the em...
Artificial intelligence is a general term that means to accomplish a task mainly by a computer, with...
PURPOSE OF REVIEW: The application of artificial intelligence (AI) technologies in screening and dia...
Artificial Intelligence (AI) has been increasingly used in various fields of medicine. It involves t...
To prevent vision loss from eye diseases like glaucoma and retinopathy it is important to diagnose t...
Background: Having several applications in medicine, and in ophthalmology in particular, artificial ...
The retinal disease is one of the most important challenges in the field of ophthalmology. Its patho...
Myopia is a global health issue, and the prevalence of high myopia has increased significantly in th...
Artificial intelligence has rapidly evolved from the experimental phase to the implementation phase ...