Using AI based decision support for improving outcomes in cancer surgery

Ismail Gögenur, Professor, Head of Surgical Science Center, Køge University Hospital

Despite improvements in the surgical and perioperative care of patients undergoing cancer surgery, there are considerable challenges in in both short and long term outcomes.

In the recent years it has been shown that introducing bundles of care with prehabilitation, closer observation in the in-hospital phase of patients undergoing cancer surgery, may improve outcomes considerably.

These initiatives are resource demanding and it is crucial to identify the right patients for the right treatment at the right time of their surgical trajectory. In this presentation the early clinical results of implementing an AI based decision support in patients undergoing cancer surgery will be described. A special emphasis will be made concerning the importance of developing scalable solutions.

A Professor of Surgery at Copenhagen University heading Center for Surgical sciences, a translational research unit focusing on individualizing care in cancer surgery.

This is from the conference "Artificial Intelligence in Healthcare".

Join the discussion about the future of healthcare at our conference, where AI's power to transform patient care through swift, accurate data processing and task automation takes center stage.