Machine learning analysis of spontaneous intracranial hemorrhage outcomes

Is this trial a fit for you?

A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.

What this trial studies

This observational study aims to train a machine learning system using data from patients with spontaneous intracranial hemorrhage (sICH) to identify correlations between clinical practices, outcomes, and predictive factors. Participants will receive standard clinical care while their data is collected and analyzed to develop a supervised machine learning algorithm named BLANDISH. This algorithm seeks to stratify patients based on prognosis and improve understanding of treatment strategies for neurocritical patients. The study addresses the limitations of existing guidelines and aims to uncover data patterns linked to patient outcomes.

Why it matters

Who can join: the full rules

Inclusion Criteria:

* Patients who enter the NICU for acute spontaneous intracranial hemorrhage
* Adult patients (≥ 18 years)
* Sex: female, male, intersex

Exclusion Criteria:

* All patients affected by non-spontaneous ICH
* Patients with sICH determined by brain tumor or brain metastases
* All patients affected by chronic ICH
* Pregnant and puerperal women
* Refusal to participate in the protocol

Where it's running

• IRCCS Ospedale San Raffaele
  Milan, Michigan, Italy Recruiting

Study contacts

• Principal investigator: Francesca Guzzo, MD — IRCCS Ospedale San Raffaele
• Study coordinator: Francesca Guzzo, MD
• Email: guzzo.francesca@hsr.it
• Phone: +393470830669

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How to take part

1. Review the eligibility criteria above with your treating physician.
2. Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
3. Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.