AI画像解析を用いた運動機能デジタルバイオマーカーに基づく転倒リスク予測法の開発

• Project/Area Number: 23K14711
• Research Category: Grant-in-Aid for Early-Career Scientists
• Allocation Type: Multi-year Fund
• Review Section: Basic Section 52010:General internal medicine-related
• Research Institution: Osaka University
• Principal Investigator: 伊藤 祐規 大阪大学, 大学院医学系研究科, 特任研究員 (30907671)
• Project Period (FY): 2023-04-01 – 2028-03-31
• Project Status: Declined (Fiscal Year 2023)
• Budget Amount: ¥4,420,000 (Direct Cost: ¥3,400,000、Indirect Cost: ¥1,020,000); Fiscal Year 2027: ¥520,000 (Direct Cost: ¥400,000、Indirect Cost: ¥120,000); Fiscal Year 2026: ¥520,000 (Direct Cost: ¥400,000、Indirect Cost: ¥120,000); Fiscal Year 2025: ¥780,000 (Direct Cost: ¥600,000、Indirect Cost: ¥180,000); Fiscal Year 2024: ¥780,000 (Direct Cost: ¥600,000、Indirect Cost: ¥180,000); Fiscal Year 2023: ¥1,820,000 (Direct Cost: ¥1,400,000、Indirect Cost: ¥420,000)