Methods to increase the Raman spectroscopy efficiency in multimodal diagnostic systems

Abstract

An intraoperative diagnostic is a vital tool in modern surgery, and it improves the accuracy of tumor removal and reduces the likelihood of damage to healthy tissue. The paper considers increasing the accuracy of intraoperative diagnostics through multimodal methods: a combination of Raman spectroscopy and optical coherence tomography. It is shown that when used in conjunction with machine learning methods, the accuracy of the diagnostic system can be up to 98%. To further increase the accuracy, it is advisable to consider other types of Raman spectroscopy as part of a multimodal system.