Performance of an artificial intelligence tool with real-time clinical workflow integration – Detection of intracranial hemorrhage and pulmonary embolism

Acute pathologies require early detection with prompt communication of critical findings to ensure adequate clinical management. Intra-cranial hemorrhage (ICH) and pulmonary embolism (PE) are two of such frequent life-threatening pathologies, with significant morbidity and mortality, where misdiagnosis can lead to adverse outcome [1-3]. A non-contrast head CT scan is essential to confirm diagnosis and risk stratification of ICH, while contrast enhanced Computed Tomography Pulmonary Angiography (CTPA) is a standard scan for detecting and locating PE [3,4].