Using Deep Learning to Construct an AI Model for Assisting in the Diagnosis of Bronchoscopy

• Project/Area Number: 24K19111
• Research Category: Grant-in-Aid for Early-Career Scientists
• Allocation Type: Multi-year Fund
• Review Section: Basic Section 53030:Respiratory medicine-related
• Research Institution: Yokohama City University
• Principal Investigator: 陳 昊 横浜市立大学, 医学研究科, 客員研究員 (10909170)
• Project Period (FY): 2024-04-01 – 2028-03-31
• Project Status: Granted (Fiscal Year 2024)
• Budget Amount: ¥4,810,000 (Direct Cost: ¥3,700,000、Indirect Cost: ¥1,110,000); Fiscal Year 2027: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000); Fiscal Year 2026: ¥910,000 (Direct Cost: ¥700,000、Indirect Cost: ¥210,000); Fiscal Year 2025: ¥520,000 (Direct Cost: ¥400,000、Indirect Cost: ¥120,000); Fiscal Year 2024: ¥2,210,000 (Direct Cost: ¥1,700,000、Indirect Cost: ¥510,000)
• Keywords: Deep learning / AI / bronchoscopy / lung cancer

Outline of Research at the Start

AIを活用して気管支鏡検査の画像から中心型肺癌を診断し、肺がん治療に関わるEGFR変異とPD-L1の発現割合を評価する画像診断補助ソフトウェアの開発を目指す。この技術により、診断精度の向上と個別化医療の実現を目指す。