Vision: To go beyond the frontier in deep learning research for the best quality of care by data-driven prediction and prevention of postoperative complications.

Objectives: The ambitious overall aim of this project is to take deep learning research to the next level for knowledge extraction from ubiquitous data in healthcare for predicting and preventing postoperative complications. We are focusing on concrete clinical challenges, and have the following sub-objectives:

    • To leverage vast amounts of data from Electronic Health Records (EHRs) for prediction and prevention
    • To analyze and integrate polyp detection from clinical imagery with EHRs for prediction and prevention
    • To analyze imagery and time series data perioperatively for prevention of postoperative complications.

EHR-based prediction and prevention

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Image-based prediction and prevention

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Analysis and guidance of DaVinci surgical procedure

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