Differentiation of Healthy Ex Vivo Bovine Tissues Using Raman Spectroscopy and Interpretable Machine Learning
The integration of interpretable machine learning models with RS enabled accurate differentiation of bovine tissues relevant to orthopedic surgery, while enhancing model transparency through biomarker identification. Linking model predictions to biologically meaningful Raman features supports the development of RS as a reliable tool for precision-guided surgical procedures.
Authors
- Soha Yousuf (ORCID: https://orcid.org/0000-0002-5002-4487)
- Azhar Zam (ORCID: https://orcid.org/0000-0001-7789-5680)
- Mohamed Irfan Karukappadath
Institutions
- New York University Abu Dhabi (AE)
- New York University (US)
Publication Details
- Journal
- Lasers in Surgery and Medicine
- Published
- 2025-05-28
- DOI
- https://doi.org/10.1002/lsm.70031
- Citations
- 2
- Primary Topic
- Spectroscopy Techniques in Biomedical and Chemical Research
- Type
- article
- Field-Weighted Citation Impact
- 3.27
Funders
- New York University Abu Dhabi
- York University