Prediction of Outcomes After Surgery for Unruptured Intracranial Aneurysms

Accurate preoperative identification of patients at high risk for adverse outcomes would be clinically advantageous, as it would allow enhanced resource preparation, better surgical decision-making, enhanced patient education and informed consent, and potentially even modification of certain modifiable risk factors. The aim of the Prediction of adverse events after microsurgery for intracranial unruptured aneurysms (PRAEMIUM) study is therefore to develop and externally validate a clinically applicable, robust ML-based prediction tool based on multicenter data from a range of international centers.