Your browser doesn't support javascript.
loading
Guidelines for image quality assessment of artificial intelligence ophthalmic disease imaging database / 中华实验眼科杂志
Chinese Journal of Experimental Ophthalmology ; (12): 937-941, 2019.
Article in Chinese | WPRIM | ID: wpr-800115
ABSTRACT
Medical artificial intelligence (AI) is an important technical strategy to promote medical supply-side reforms and national development.Images of ophthalmic disease are the important data resource for the development and application of ophthalmic AI-aided diagnosis and treatment systems based on medical big data.In order to establish an AI ophthalmic disease imaging database that can be effectively utilized as big data resources, improve the efficiency of ophthalmic AI research, and promote the development of ophthalmic AI research based on big data in the new era, the International Ophthalmic Artificial Intelligence Research and Development Alliance drafted and adopted the "Guidelines for image quality assessment of artificial intelligence ophthalmic diseases imaging database" . Specifications and recommendations of the image quality assessment for the AI ophthalmic disease image database were formulated on data types, data related information, data quality, informed consent, and data sharing.

Full text: Available Index: WPRIM (Western Pacific) Type of study: Practice guideline Language: Chinese Journal: Chinese Journal of Experimental Ophthalmology Year: 2019 Type: Article

Similar

MEDLINE

...
LILACS

LIS

Full text: Available Index: WPRIM (Western Pacific) Type of study: Practice guideline Language: Chinese Journal: Chinese Journal of Experimental Ophthalmology Year: 2019 Type: Article