Cyril DI GRANDI
CEO
Avicenna.ai
Avicenna.ai develops AI solutions for emergency radiology, focusing on the automated detection of critical conditions such as intracranial hemorrhage and large vessel occlusion in CT scans. By reducing interpretation time and prioritizing urgent cases, their technology enhances diagnostic accuracy and improves patient outcomes in high-stakes medical environments.
- Artificial Intelligence
- Healthcare Technology
- Software Only
Updated 23 months ago
Funding
Raised to date
$10.9MRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Funding rounds are not available yet.
Founders
Product
Problem
Emergency radiology faces challenges in the timely and accurate detection of critical conditions in CT scans, leading to potential delays in diagnosis and treatment. The complexity of interpreting these scans, coupled with increasing workloads, can overwhelm radiologists and impact patient outcomes.
Solution
Avicenna.AI develops AI-powered solutions designed to automate the detection of life-threatening conditions in CT scans, enabling faster and more accurate diagnoses. Their suite of tools, including CINA-ICH for intracranial hemorrhage and CINA-LVO for large vessel occlusion, seamlessly integrate into existing radiology workflows to prioritize urgent cases. By automating repetitive tasks and providing a second set of eyes, Avicenna.AI reduces interpretation time, optimizes patient management, and enhances overall radiology workflow efficiency. The AI algorithms are validated on diverse datasets and scanner models, ensuring high accuracy and generalizability across different clinical settings.
Target Audience
The primary target audience includes radiologists, emergency physicians, and healthcare providers who require rapid and accurate detection of critical conditions in CT scans to improve patient outcomes and optimize radiology workflows.
Features
- AI-powered detection of intracranial hemorrhage (ICH) on non-contrast CT scans with CINA-ICH
- Automated detection of large vessel occlusion (LVO) in the anterior circulation on head CT angiographies with CINA-LVO
- AI-based ASPECT scoring for acute ischemic stroke assessment, including heat maps and infarct region outlines with CINA-ASPECTS
- Automatic detection of pulmonary embolism from chest CT scans with CINA-PE
- Identification of acute type A and B aortic dissections on thoraco-abdominal angiography with CINA-AD
- Detection of incidental pulmonary embolisms in various CT scan types with CINA-iPE
- Detection of vertebral compression fractures resulting from osteoporosis with CINA-VCF and automated fracture quantification with CINA-VCF Quantix
- Automatic detection and prioritization of cervical spine fractures on CT scans with CINA-CSpine
- Seamless integration into existing radiology workflows and PACS systems
- Algorithms validated on diverse datasets from multiple scanner vendors