Ferrum Case Studies
Avicenna Case Study: Improved Care Coordination
Timely and accurate diagnosis are necessary for the management of acute ICH patients. Unfortunately, 16% of critical findings are never reported to referring clinicians. This drop in communication intuitively impacts patient care, especially those with ICH.
Avicenna Case Study: Acute Subarachnoid Hemorrhage
CINA-ICH uses deep learning to identify suspected intracranial hemorrhage and prioritizes those cases in the worklist, dramatically reducing turnaround time for head trauma and stroke patients.
Gleamer Case Study: Hip Fracture
BoneView has analyzed more than three million images around the world and is deployed in more than 13 countries across Europe, the Middle East, Asia-Pacific and North America. More than 3,500 radiologists and emergency physicians now rely on BoneView in their clinical routines.
Avicenna Case Study: Intracranial Hemorrhage
CINA-ICH uses deep learning to identify suspected intracranial hemorrhage and prioritizes those cases in the worklist, dramatically reducing turnaround time for head trauma and stroke patients.
Gleamer Case Study: Vertebral Compression Fracture
BoneView has analyzed more than three million images around the world and is deployed in more than 13 countries across Europe, the Middle East, Asia-Pacific and North America. More than 3,500 radiologists and emergency physicians now rely on BoneView in their clinical routines.
AI Enhanced Peer Review Finds Undocumented Lung Nodules
Using an artificial intelligence platform, a large health system finds 118 clinically significant undocumented lung nodules that directly impact patient care.