Workshop
Application of Graph Neural Networks to surgical complication prediction
- Nithya Bhasker (National Center for Tumor Diseases (NCT/UCC) Dresden, Dresden, Germany)
Abstract
Most complex tumour resections are associated with severe complications. These complications cause delays in adjuvant therapy resulting in worsened treatment response or death. Machine learning-based prediction of postoperative patient outcomes, before the surgery, enables individualised treatment planning and improved postoperative patient management. In this talk, I will describe such a surgical complication prediction framework and present the challenges associated with its practical implementation. Additionally, with the help of a case study, I will demonstrate the use of Graph Neural Networks for complication prediction and the challenges thereof.