Market Research for Medical Device Standalone Software and Consultancy Support

The University of Edinburgh is developing a Clinical Decision Support Tool for diagnosing acute heart attack in the Emergency Department. The research team involved has recently developed and published the research surrounding the machine learning algorithm (XGBoost)(https://www.nature.com/articles/s41591-023-02325-4). An example of the algorithm’s inputs and outputs for educational purposes only are available as a shiny app (https://decision-support.shinyapps.io/code-acs/). The University seeks to commission exter...