The prevention and treatment of diseases via artificial intelligence represents an ultimate goal in computational medicine. Application scenarios of the current medical algorithms are too simple to be generally applied to real-world complex clinical settings. Here, the investigators use "deep learning" and "visionome technique", an novel annotation method for artificial intelligence in medical, to create an automatic detection and classification system for four key clinical scenarios: 1) mass screening, 2) comprehensive clinical triage, 3) hyperfine diagnostic assessment, and 4) multi-path treatment planning. The investigator also establish a telemedicine system and conduct clinical trial and website-based study to validate its versatility.
Study Type
OBSERVATIONAL
Enrollment
615
An artificial intelligence to make comprehensive evaluation and treatment decision of ocular diseases.
Zhongshan Ophthalmic Center, Sun Yat-sen University
Guangzhou, Guangdong, China
The proportion of accurate, mistaken and miss detection of the ophthalmology diagnostic system.
Time frame: Up to 5 years
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