AI for head CT can analyze brain scans with up to 99% accuracy and deliver results within 3 minutes of examination. The system has been trained on more than 94 million images (approximately 300,000 examinations) and can detect a total of 30 findings, including hemorrhages, tumors, infarctions, and edema. Thanks to easy integration via cloud or on-premise solutions, it works without interfering with the existing workflow and is compatible with both PACS and DICOM environments.
Deploying AI for head CT brings measurable results: in emergency departments, the average patient stay was reduced by 69 minutes for strokes, 66 minutes for hemorrhages, and 33 minutes for head injuries. In addition, the system identifies approximately 1 previously overlooked hemorrhage per 100 CT examinations.
AI for head CT is part of the extended Horizon by Carebot portfolio, which brings together solutions from Carebot and our close partners. Within this portfolio, we provide BrainScan CT (developed and owned by BrainScan).
- Speeds up the workflow: Artificial intelligence may one day replace the need for a second reading by a radiologist. Even today, however, it can speed up the entire CT head evaluation process and provide physicians with a tool that helps them efficiently process large volumes of scans. This allows patients to receive the necessary care faster and with a lower risk of delays.
- Helps determine the correct diagnosis: AI can help doctors more accurately identify both positive, false positive, and negative findings in CT head scans – for example, in cases of suspected bleeding, trauma, or stroke. This supports accurate diagnostics and saves time not only for doctors and patients but also resources for the healthcare system.
- Easy implementation: AI systems for CT head analysis can be easily integrated into existing hospital systems. This makes their deployment quick and does not require complex technical adjustments or long-term staff training.
Technical Specifications / Features:
- Accuracy: up to 99%
- Result delivery: within 3 minutes
- Training data: over 94 million images (approx. 300,000 examinations)
- Detectable findings: 30 (including hemorrhages, tumors, infarctions, edema)
- Integration: Cloud or on-premise, compatible with PACS and DICOM
- Workflow impact: Reduces patient stay (69 min for strokes, 66 min for hemorrhages, 33 min for head injuries)
- Additional detection: ~1 previously overlooked hemorrhage per 100 CT exams
- Part of Horizon by Carebot portfolio