Differentiation of Healthy Ex Vivo Bovine Tissues Using Raman Spectroscopy and Interpretable Machine Learning.

Journal: Lasers in surgery and medicine
Published Date: Aug 1, 2025

Abstract

OBJECTIVES: Integrating machine learning with Raman spectroscopy (RS) shows strong potential for intraoperative guidance in orthopedic procedures, but limited algorithm transparency remains a barrier to clinician trust. This study aims to develop interpretable machine learning models capable of accurately classifying bovine tissue types (bone, bone marrow, fat, and muscle) relevant to orthopedic surgery by identifying key Raman biomarkers to improve model transparency.

Authors

  • Soha Yousuf
    Division of Engineering, Laboratory for Advanced Bio-Photonics and Imaging (LAB-π), New York University Abu Dhabi, Abu Dhabi, United Arab Emirates.
  • Mohamed Irfan Karukappadath
    Division of Engineering, Laboratory for Advanced Bio-Photonics and Imaging (LAB-π), New York University Abu Dhabi, Abu Dhabi, United Arab Emirates.
  • Azhar Zam
    Biomedical Laser and Optics Group, Department of Biomedical Engineering, University of Basel, Allschwil, Switzerland.

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