With the exponential growth of biomedical data sets, it is increasingly important to combine large data with artificial intelligence (AI) in order to accelerate patient diagnosis.
A study published last year in Theranostics by a group of Taipei Veterans General Hospital found AI-based systems can be used to analyze Age-Related Macular Degeneration (AMD), providing preliminary diagnoses of retinal scans in seconds to determine medical treatment requirements, with over 95% accuracy.
Age-related macular degeneration (AMD) mainly affects elderly people and accounts for 8.7% of all cases of blindness in developed countries. In Taiwan, the prevalence of AMD is 15.0% in individuals over 65 years and 16.9% in those over 80 years.
In past two years, this AI platform has been trained with over 30,000 Optical Coherence Tomography (OCT) images to identify normal, dry or wet macular lesions. Taipei Veterans General Hospital stated that the platform enables users to upload their OCT images to verify whether they have AMD and require treatment. Moreover, this auxiliary diagnostic platform can also be used to help provide assistance to areas with insufficient medical resources.