人工知能（AI）による肩関節レントゲンを用いた腱板断裂の診断

• Project/Area Number: 23K19927
• Research Category: Grant-in-Aid for Research Activity Start-up
• Allocation Type: Multi-year Fund
• Review Section: 0909:Sports sciences, physical education, health sciences, and related fields
• Research Institution: Kyushu University
• Principal Investigator: 美山 和毅 九州大学, 大学病院, 助教 (90980003)
• Project Period (FY): 2023-08-31 – 2025-03-31
• Project Status: Declined (Fiscal Year 2023)
• Budget Amount: ¥2,470,000 (Direct Cost: ¥1,900,000、Indirect Cost: ¥570,000); Fiscal Year 2024: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000); Fiscal Year 2023: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)