Intracranial Hemorrhage Detection

Intracranial Hemorrhage Detection

Description

This study demonstrates that machine learning models can achieve generalizable performance in medical imaging, specifically in detecting intracranial hemorrhage on non-contrast CT scans, validated through real-world clinical data.

Creator

Unity Health

Information

Pediatrics or Adult

Adult

Speciality

Neurology

Modality

CT-Scan

Training

Trained using 21,784 scans from the RSNA Intracranial Hemorrhage CT dataset.

Github

Publication

FDA

Scroll to Top