CINA-VCF
Overview
Avicenna.AI is a medical AI company specializing in advanced artificial intelligence solutions for emergency radiology and the detection of incidental findings in CT scans. [4, 10, 18] Founded in 2018, the company leverages deep learning and machine learning technologies to develop a suite of AI tools, known as CINA, designed to identify, detect, and quantify severe pathologies within seconds. [4, 9, 15]
CINA-VCF is one such AI-powered triage and notification software. It is specifically indicated for detecting unsuspected vertebral compression fracture (VCF) findings in patients aged 50 years and over undergoing non-enhanced or contrast-enhanced CT scans that include the chest and/or abdomen, regardless of the original clinical indication. [3, 5, 6, 20] The software assists hospital networks and trained medical specialists in workflow triage by flagging and communicating suspected positive findings of VCFs. [20] This early detection is crucial as VCFs, often linked to osteoporosis, can develop silently and significantly increase the likelihood of future fractures if left undiagnosed. [5, 6]
Avicenna.AI’s solutions, including CINA-VCF, are designed to seamlessly integrate into existing clinical workflows, such as PACS and RIS, automatically triggering analysis and reporting algorithm results. [3, 15, 19] This integration aims to optimize care pathways, accelerate therapeutic decision-making, improve patient outcomes, and enhance overall radiology workflow efficiency by reducing interpretation time and alleviating repetitive tasks. [18, 19]
Reviewed by Pouyan Golshani, MD — Interventional Radiologist
Key Features
- Detects unsuspected vertebral compression fractures (VCFs)
- Triage and notification software for VCF findings
- Analyzes non-enhanced or contrast-enhanced chest and/or abdomen CT scans
- Prioritizes positive suspected VCF findings
- Integrates with standard reading environments (PACS, RIS)
- Deployment options: cloud-based, locally on dedicated hardware, or locally virtualized (VM, Docker)
- Fast processing time of 10-60 seconds
- Identifies VCFs in adults aged 50 years and over
- Outputs results in DICOM SC format
- CINA-VCF Quantix (Europe only) provides automated intra- and inter-vertebral height loss calculation, vertebral labeling, and color coding by Genant grade
Use Cases
- Early detection of vertebral compression fractures to prevent complications and improve osteoporosis care
- Triage and prioritization of patients with suspected VCFs for timely intervention
- Optimizing radiology workflow by automating VCF detection
- Reducing interpretation time for CT scans
- Enhancing patient management and outcomes through faster diagnoses
- Identifying incidental VCF findings during routine CT scans performed for other indications
What Physicians Need to Know
CINA-VCF serves as an opportunistic screening tool, flagging potential vertebral compression fractures on routine chest or abdomen CTs, which are often missed. While it provides rapid triage and notification, remember that it is a computer-aided triage and notification software, not a diagnostic device. Always integrate its findings with comprehensive patient information and your professional judgment. The seamless integration into existing PACS/RIS through platforms like AVI means minimal disruption to your current workflow, allowing AI insights to appear automatically without additional clicks or new interfaces.
CINA-VCF is designed for seamless integration into existing radiology ecosystems. It supports DICOM for image input and output (DICOM SC) and can integrate directly with PACS and RIS. Deployment options include cloud-based, local dedicated hardware, or local virtualized environments (VM, Docker). Avicenna.AI's AVI platform further streamlines integration, offering a single point of access for Avicenna's AI portfolio and ensuring compatibility with global standards like DICOM, HL7, and FHIR, minimizing IT overhead and workflow disruption.
Details
| Category | Radiology & Imaging AI, Triage & ER/ICU AI |
| Pricing | Contact for pricing — Subscription-based; pricing based on number of installations and number of users. [3, 10] |
| Deployment | Cloud-based, Locally on dedicated hardware, Locally virtualized (virtual machine, Docker) |
| Compliance | |
| BAA Available | Unknown AI-estimated |
| HIPAA Compliant | Yes AI-estimated |
| FDA Status |
1 AI-estimated CINA-VCF received 510(k) clearance from the U.S. Food and Drug Administration (FDA) on May 31, 2024. It is classified as a Class II radiological computer-assisted triage and notification software. |
| Integrations | |
| EHR | Not specified |
| Specialties | Emergency Medicine, Orthopedics, Radiology |
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