超高精細CTと人工知能を組み合わせた原発性肺癌の予後予測

• Project/Area Number: 25K19135
• Research Category: Grant-in-Aid for Early-Career Scientists
• Allocation Type: Multi-year Fund
• Review Section: Basic Section 52040:Radiological sciences-related
• Research Institution: Nagoya University
• Principal Investigator: 神谷 晋一朗 名古屋大学, 医学部附属病院, 助教 (60868305)
• Project Period (FY): 2025-04-01 – 2028-03-31
• Project Status: Adopted (Fiscal Year 2025)
• Budget Amount: ¥4,810,000 (Direct Cost: ¥3,700,000、Indirect Cost: ¥1,110,000); Fiscal Year 2027: ¥1,560,000 (Direct Cost: ¥1,200,000、Indirect Cost: ¥360,000); Fiscal Year 2026: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000); Fiscal Year 2025: ¥2,210,000 (Direct Cost: ¥1,700,000、Indirect Cost: ¥510,000)