Raman spectroscopy with machine learning achieves 100% accuracy for cervical cancer detection in tissue

Raman spectroscopy with PCA-LDA classified cervical cancer vs normal tissue with 100% accuracy, and early vs advanced stage with 70.8% accuracy, in a tissue-sample study. No external validation.

• This study analyzed retrospectively collected cervical tissue samples using Raman spectroscopy and a PCA-LDA model (sample size not reported).
• Staging accuracy for early vs advanced disease was 70.8% (no confidence interval provided).
• Limitations include no external validation, unreported sample size, and single-center design.

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