BLANDISH: Design and Internal Validation of an AI System to Support and Optimize Management of Spontaneous Intracranial Hemorrhage Patients in the NeuroICU

What this Trial Is About

The trial investigates spontaneous intracranial hemorrhage (sICH), focusing on developing a machine learning (ML) system to analyze clinical data and predict patient outcomes. Researchers aim to identify links between actual clinical practice, patient results, and predictive factors to improve management of sICH patients in neuro-intensive care units. This observational study is sponsored by IRCCS Ospedale San Raffaele and addresses the limited progress in treatment outcomes for sICH despite existing guidelines. Participants are observed under standard clinical care, with data collected on therapeutic approaches including radiological, medical, and surgical treatments. The study includes two groups: retrospective patients treated before March 13, 2024, and prospective patients treated after this date. The collected data will be used to develop and validate the BLANDISH ML algorithm, which aims to stratify patient risk and support personalized therapeutic strategies. During the study, researchers will gather detailed clinical data stored in a structured database to train and validate the ML system. They will monitor mortality over 12 months as the primary outcome to assess the algorithm's predictive accuracy and potential impact on patient management. This study involves ongoing data collection and analysis, aiming to enhance treatment decisions and healthcare resource use for sICH patients.

BLANDISH (Brain, Loss of Function, Aneurism, Disease, Injury, Stroke, Hemorrhage)