CINA CHEST
Overview
CINA CHEST by Avicenna.AI is a radiological computer-aided triage and notification software designed to assist hospital networks and trained radiologists. It analyzes Chest and Thoraco-abdominal CT angiography scans to flag and communicate suspected positive findings of Pulmonary Embolism (PE) and Aortic Dissection (AD). The device utilizes advanced artificial intelligence and deep learning algorithms to highlight cases with detected PE and AD on a standalone web application, operating in parallel to the ongoing standard of care image interpretation. Users receive notifications that include compressed preview images for informational purposes, intended to aid in workflow triage and prioritization of medical images. CINA CHEST is not intended for diagnostic use beyond notification and does not alter the original medical image. It aims to accelerate clinical decision-making, enhance care coordination, and improve patient outcomes by enabling faster identification and prioritization of critical cases.
Reviewed by Pouyan Golshani, MD — Interventional Radiologist
Key Features
- Radiological computer-aided triage and notification
- Detection of Pulmonary Embolism (PE) on Chest CT angiography
- Detection of Aortic Dissection (AD) on Chest or Thoraco-abdominal CT angiography
- Flags and communicates suspected positive findings
- Assists hospital networks and trained radiologists in workflow triage
- Utilizes artificial intelligence (deep learning algorithms)
- Operates as a standalone web application
- Provides notifications with compressed preview images (for informational purposes only)
- Seamless integration into existing clinical workflows (PACS/RIS)
- Accelerates clinical decision-making and enhances care coordination
Use Cases
- Emergency triage of Pulmonary Embolism (PE)
- Emergency triage of Aortic Dissection (AD)
- Prioritization of critical cases in radiology workflow
- Reducing time-to-treatment for life-threatening vascular conditions
- Supporting faster decision-making in emergency radiology
- Detection of incidental pulmonary embolisms (CINA-iPE is a related product, but PE detection is core to CINA CHEST)
What Physicians Need to Know
CINA CHEST is designed as a critical aid for emergency room radiology, enabling rapid identification and prioritization of life-threatening conditions like pulmonary embolism and aortic dissection from CT angiography scans. Physicians should leverage its real-time alert capability to accelerate decision-making and improve patient outcomes in time-sensitive emergencies. It serves as a workflow triage tool, flagging suspected positive findings to assist radiologists, but the final diagnosis and treatment decisions remain the responsibility of the clinician based on a comprehensive review of the full images and patient information. The incidental PE detection feature (CINA-iPE) can be particularly valuable in oncology patients or those undergoing scans for other conditions, helping to prevent missed diagnoses.
CINA CHEST is built for seamless integration into existing clinical workflows, operating in parallel to standard image interpretation. It delivers results as secondary images (DICOM SC, GSPS) and can be integrated via AI marketplaces or distribution platforms. Deployment options include local dedicated hardware or virtualized environments (VM, Docker). The broader Avicenna.AI CINA platform has integration partners such as Sectra, Viz.ai, GE Healthcare, and Philips, ensuring compatibility with various hospital networks and PACS/RIS systems.
Details
| Category | Cardiology AI, Radiology & Imaging AI, Triage & ER/ICU AI |
| Pricing | Subscription-based — Subscription-based; details available upon request. |
| Deployment | Cloud-based, On-premise (dedicated hardware), Virtualized (VM, Docker) |
| Compliance | |
| BAA Available | Unknown AI-estimated |
| HIPAA Compliant | Yes AI-estimated |
| FDA Status |
K210237 AI-estimated Cleared on May 19, 2021, for automatic detection and triage capabilities for both Pulmonary Embolism (PE) and Aortic Dissection (AD) from CT-scan imaging. |
| Integrations | |
| EHR | Not specified |
| Specialties | Cardiology, Emergency Medicine, Radiology |
What the Web Says
CINA CHEST by Avicenna.AI is an AI-powered tool designed for the rapid detection and triage of pulmonary embolism (PE) and aortic dissection (AD) from CT scans, aiming to enhance emergency radiology workflows. It has received FDA 510(k) clearance and CE Mark certification, demonstrating its compliance with regulatory standards in the U.S. and European Union. The software is intended to assist radiologists and healthcare providers by flagging suspected positive findings and prioritizing critical cases, thereby accelerating diagnosis and improving patient outcomes.
Overall: PositiveStrengths
- Rapid detection and triage of life-threatening conditions like pulmonary embolism and aortic dissection.
- Enhances emergency radiology workflows and accelerates clinical decision-making.
- Improves diagnostic accuracy and consistency in interpretation.
- Provides real-time alerts to clinicians for timely intervention.
- Reduces the risk of delayed diagnosis and improves patient survival rates in time-sensitive conditions.
- Detects incidental pulmonary embolisms on routine CT scans, preventing missed diagnoses.
Limitations
- Specific user reviews from platforms like Reddit, G2, and Capterra were not found in the search results.
- Pricing details are not publicly available and require contacting the vendor.
- The device is a computer-aided triage and notification software and not intended for diagnostic use beyond notification; clinicians are ultimately responsible for reviewing full images.
- Requires dedicated hardware, virtual machine, Docker, or cloud infrastructure for system requirements.
Based on reviews from: HealthAidb, Bioworld, PRNewswire, ITN Online, Avicenna.AI (Clinical Publications), Avicenna.AI (Accurate AI Tools For Chest Imaging), Avicenna.AI (Newsroom), AuntMinnie, Blackford Analysis, PMC, accessdata.fda.gov, Avicenna.AI (AI Radiology Solutions For CT Scans), Health AI Register, G2
Last updated: 2026-07-17
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