PROJECT

AI data for skin diseases diagnosis of children, adolescents and the elderly

 

MAIN DESCRIPTION

○ Building data for learning

- Pediatric skin: 44,000 images of 40 types of pediatri and adolescent skin diseases established

- Bedsore: 12,000 bedsores for each stage, 6,000 differential ulcers for 6 other types, and 2,000 normal cases

 

○ Data management and verification, development of AI algorithm

- Production and distribution of program

- Data quality verification

- Algorithm development

 

○ Data Utilization

- University hospital: Can play the role in collecting and labeling addigional skin disease data and upgrading models

- Demanding institutions: Maximize data utilization through providing customized additional labeling

 

○ The ripple effect

- Revitalizing patient transfer-return business between nursing hospitals/health centers/primary hospitals and advanced hospitals

- Used to enter oversesas markets such as China, Japan, Vietnam, and Mongolia, which have similar skin to Korea - also contributes to the development of AI-based national industries