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Ai-Driven Multi-Modal Imaging Analysis for Enhanced Diagnosis and Surgical Planning of Adult Spinal Deformity

Project: National Science and Technology Council › National Science and Technology Council Academic Grants

Project Details

Abstract

本計畫旨在開發人工智慧驅動的影像分析系統，以提升成人脊柱畸形（ASD）的診斷準確性及手術規劃效率，整合MRI、CT與X光等多模態影像，提供全面的脊柱結構與功能評估。該系統通過骨質指數（BQI）與脊髓幾何指數（SCGI）的自動計算，縮短診斷與治療流程時間，降低手術風險與醫療成本，同時提升患者生活品質。學術層面將推動醫學影像分析與人工智慧融合的創新研究，並促進學界與臨床合作。此外，該系統的應用有助於為未來醫學技術革新奠定基礎。

Project IDs

Project ID:PB11407-13183
External Project ID:NSTC114-2221-E182-034
StatusActive
Effective start/end date01/08/25 → 31/07/26

Keywords

  • Deep Learning
  • Adult Spinal Deformity (ASD)
  • Vertebral Segmentation
  • Bone Quality Index (BQI)
  • Spinal Cord Segmentation
  • Spinal Cord Geometric Index (SCGI)
  • Multi-Modal Imaging Analysis
  • Automated Diagnosis
  • Surgical Planning
  • Medical AI.

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