Towards multimodal assessment of surgical skills

Xavier Intes

doi:10.1117/12.2588573

5 March 2021 Towards multimodal assessment of surgical skills

Xavier Intes

Proceedings Volume 11634, Multimodal Biomedical Imaging XVI; 116340F (2021) https://doi.org/10.1117/12.2588573
Event: SPIE BiOS, 2021, Online Only

Abstract

The FLS program is being embraced internationally for training and credentialing surgeons. Manual skills assessment is performed during a proctored exam. In spite of its growing popularity, there are several major problems with the manual skills component of the FLS. Herein, we will summarize our efforts in establishing functional Near InfraRed Spectroscopy (fNIRS) as a fast and robust method to support this segment of the FLS program, especially leveraging recent development in Machine Learning. Moreover, we will report on the potential of using concurrent video stream towards enhanced multimodal surgical skill assessment.

Conference Presentation

Citation Download Citation

Xavier Intes "Towards multimodal assessment of surgical skills", Proc. SPIE 11634, Multimodal Biomedical Imaging XVI, 116340F (5 March 2021); https://doi.org/10.1117/12.2588573

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