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 {{:sds2020.001.jpeg?600|Our approach for surgical data science}}<html><br></html>
-Our objective is to study methods for modelling and analysis surgical and interventional knowledge and processes allowing the development of a new generation of computer assisted surgical (CAS) systems with full decision-making support. In this context, we are addressing the general problems of conception of **the surgical room of the future**. We address the issue of modelling through two complementary approaches: numeric with data fusion inspired approaches and symbolic with conceptual modelling and formal ontologies.
+Our objective is to study methods for modelling and analysis surgical and interventional knowledge and processes allowing the development of a new generation of computer assisted surgical (CAS) systems with full decision-making support. In this context, we are addressing the general problems of conception of **the surgical room of the future**. We address the issue of modelling relying on the [[Surgical Data Science|https://www.nature.com/articles/s41551-017-0132-7.epdf?shared_access_token=j-PFv8jY7hCUiQt79CCITNRgN0jAjWel9jnR3ZoTv0N9Xfj1RzhQDVxo6_1L34HRKUkkxoEvYNN5GLPkydk5FJ2B7f7Bw-YwfNNkeV67Uqa-fJtccgSUFtytexSCj-z2xvWzJ8R1D_pVfamTrlge9iBMogFGXvG_EtLr8nKLUkk%3D]] methodology.