Development of artificial intelligence for keloids

2023 Fiscal Year Final Research Report

• Project/Area Number: 21K09795
• Research Category: Grant-in-Aid for Scientific Research (C)
• Allocation Type: Multi-year Fund
• Section: 一般
• Review Section: Basic Section 56070:Plastic and reconstructive surgery-related
• Research Institution: Oita University
• Principal Investigator: Shimizu Fumiaki 大分大学, 医学部, 准教授 (50347027)
• Project Period (FY): 2021-04-01 – 2024-03-31
• Keywords: ケロイド / 人工知能

Outline of Final Research Achievements

The JSW scar scale was useful to decide the treatment of keloid and follow up the condition of scars. The artificial intelligence developed by deep learning of patient’s pictures could score the severity of keloids from picture data. The were not significant difference between the results made by artificial intelligence and human.　From this study, some possibility was shown that artificial intelligence could evaluate the severity of keloid using picture data by JSW scar scale.
Now, the result was submitted to the international journal.

Free Research Field

形成外科

Academic Significance and Societal Importance of the Research Achievements

正確な診断には、十分な臨床経験を要する。そのため、正確な評価が可能な人工知能開発が望まれるが、現在のところ国内外で、傷跡を評価する人工知能の作成に成功した報告はない。本研究が、世界初の、傷跡を評価する人工知能作成に貢献する可能性が高いと思われる。また、本研究成果を皮切りに、今まで困難とされていた「整容的の改善」の客観的評価を行う人工知能開発につながる可能性もあると思われる。