CINA-CSpine

by Avicenna.AI  · Based in France → — Medical Innovation for Enhanced Patient Care with AI
Emergency Medicine Neurosurgery Radiology

Subscription
Regulatory Status Disclosed

Overview

Avicenna.AI is a medical AI company founded in 2018, specializing in AI-based solutions for radiology. The company develops deep learning algorithms to identify, detect, and quantify critical pathologies from CT images, aiming to empower healthcare professionals, accelerate therapeutic decision-making, and improve patient outcomes. Its CINA suite of AI tools is designed to seamlessly integrate into existing clinical workflows, providing rapid and reliable insights for various medical emergencies and incidental findings.

CINA-CSpine is a key product within this portfolio, specifically developed as a triage and notification software for the analysis of cervical spine CT images. It utilizes artificial intelligence to detect suspected acute cervical spine fractures on non-enhanced neck CT scans, automatically flagging potential fractures and notifying the care team. This helps radiologists determine if the spine is compromised, reducing the risk of missed injuries and facilitating quicker interventions for improved patient prognosis.

Reviewed by Pouyan Golshani, MD — Interventional Radiologist

Key Features

  • Detects acute cervical spine fractures on non-enhanced neck CT scans
  • Triage tool to automatically flag potential fractures
  • Assists radiologists in identifying compromised spines
  • Provides notifications for cases with suspected findings
  • Integrates seamlessly with standard reading environments (PACS, RIS)
  • Supports global healthcare data standards (DICOM, HL7, FHIR)
  • Offers cloud-based, local dedicated hardware, or local virtualized deployment
  • Validated on multi-center, multi-national, and multi-vendor datasets
  • Achieved 90.3% sensitivity and 91.9% specificity in validation studies
  • Designed for use on patients over 18 years old

Use Cases

  • Accelerated diagnosis of cervical spine fractures in emergency settings
  • Improved patient outcomes through quicker interventions for spinal injuries
  • Minimizing diagnostic errors and reducing the likelihood of missed fractures
  • Prioritization of urgent cases in emergency and trauma care workflows
  • Enhancing radiology workflow efficiency and reducing interpretation time
  • Supporting therapeutic decision-making processes for better quality of care

What Physicians Need to Know

DICOM Support & Standards
CINA-CSpine complies with DICOM (Digital Imaging and Communications in Medicine) standards (NEMA PS 3.1 - 3.20). It accepts DICOM as input and outputs a single MIP DICOM slice with suspected fracture visibility, as well as DICOM SC.
PACS Integration Method
The tool seamlessly integrates into standard reading environments (PACS) and RIS (Radiological Information System), facilitating worklist prioritization. It can also integrate via AI marketplaces (e.g., CARPL.AI, deepc, Sectra, Blackford Platform) or as a standalone third-party application. The system communicates using standardized DICOM protocols.
Reading Room Workflow Impact
CINA-CSpine automatically flags suspected acute cervical spine fractures, alerting radiologists through existing systems to reduce interpretation delays and accelerate surgical decisions. It acts as a triage and notification software, providing a 'second set of eyes' to minimize diagnostic errors and improve care team coordination. Notifications include compressed preview images for informational purposes only, not for primary diagnostic use. The device does not alter original images, and clinicians remain responsible for final diagnosis.
AI Model Architecture (deep learning approach)
The tool utilizes deep learning algorithms, specifically a cascade of fully 3D, task-focused U-Net Convolutional Neural Networks (CNNs), trained end-to-end on 1,338 CT studies. Additional deep learning models are used for vertebral localization. Model optimization employed a combination of Su00f8rensenu2013Dice coefficient-based Cross-Entropy Loss and Generalized Dice Loss.
Processing Speed (per study)
The processing time per study ranges from 1 to 10 minutes, with the time-to-notification measured from the end of DICOM reception to the completion of processing.
FDA Clearance Pathway (510k/De Novo)
CINA-CSpine received 510(k) clearance from the U.S. Food and Drug Administration (FDA) as a Class II medical device. It is cleared for prioritization and case-level classification, demonstrating substantial equivalence to a predicate device.
Supported Modalities (CT/MRI/X-ray/US)
The tool is specifically designed for the analysis of **non-enhanced neck CT scans** to detect cervical spine fractures. It is not intended for detecting vertebral compression fractures.
Sensitivity & Specificity Data
In validation studies on over 300 non-contrast CT scans from multiple vendors and sites, CINA-CSpine achieved an overall sensitivity of 90.3% (95% CI: 84.5% - 94.5%) and specificity of 91.9% (95% CI: 86.8% - 95.5%) for acute cervical spine fractures. The accuracy was 91.2% (95% CI: 87.5u201394.0%), with a per-case AUC of 0.91 and an MCC of 0.82. Performance was validated against ground truth established by a consensus of three US-board certified senior radiologists.
RSNA/ACR Validation
The validation study was multicenter, multinational, and multivendor, with a peer-reviewed publication in 'Diagnostics' (January 2026). The tool's compliance with DICOM standards aligns with specifications from the American College of Radiology (ACR). The vendor, Avicenna.AI, has a presence at RSNA.
Physician Tip

CINA-CSpine serves as a valuable triage and notification tool, providing an automated 'second read' for cervical spine CTs, particularly beneficial in high-volume or emergency settings to expedite the detection of acute fractures. While it offers high sensitivity and specificity, remember that it's a decision support tool, not a diagnostic one. Always review the full images and integrate the AI's findings with comprehensive patient information and your clinical judgment for final diagnosis and treatment planning. Be aware that it is designed for non-enhanced CTs and does not detect vertebral compression fractures.

CINA-CSpine is designed for seamless integration into existing radiology workflows, leveraging DICOM for communication with PACS and RIS. Its compatibility with various AI marketplaces and direct integration options ensures flexibility for different hospital IT infrastructures. Ensure proper configuration for worklist prioritization to maximize workflow efficiency and timely alerts. Consider deployment options (cloud-based, local on dedicated hardware, or virtualized) based on institutional IT strategy and data security policies.

Details

Category Radiology & Imaging AI, Triage & ER/ICU AI
Pricing Subscription — Subscription; based on number of installations, number of users
DeploymentCloud-based, Locally on dedicated hardware, Locally virtualized (virtual machine, Docker)
Compliance
BAA AvailableUnknown AI-estimated
HIPAA Compliant Yes AI-estimated
FDA Status Yes AI-estimated

CINA-CSpine received 510(k) clearance (K240942) from the US Food and Drug Administration on September 12, 2024, for prioritization and case-level classification of acute cervical spine fractures on non-contrast CT scans.

Integrations
EHR Not specified
Specialties Emergency Medicine, Neurosurgery, Radiology

What the Web Says

CINA-CSpine, developed by Avicenna.AI, is an AI-powered solution designed to assist radiologists in detecting cervical spine fractures from CT scans. It aims to reduce diagnostic time and improve accuracy, particularly in emergency settings. Reviews suggest it is generally well-received for its speed and potential to enhance workflow.

Overall: Positive

Strengths

  • Rapid detection of cervical spine fractures, potentially reducing time to diagnosis.
  • High sensitivity and specificity reported in studies, aiding diagnostic accuracy.
  • Integration with existing PACS systems, streamlining workflow for radiologists.
  • Designed for use in acute settings, potentially improving patient outcomes.
  • Reduces the burden on radiologists, especially during high-volume periods.
  • User-friendly interface and easy to implement according to some feedback.

Limitations

  • Reliance on AI may lead to over-reliance and potential for 'alert fatigue' if not managed well.
  • Cost of implementation and ongoing maintenance might be a barrier for smaller institutions.
  • Requires validation and trust-building among radiologists for widespread adoption.
  • Potential for false positives or negatives, requiring human oversight.
  • Limited information available from independent physician reviews outside of company-sponsored studies.
  • Specific performance can vary depending on image quality and patient population.

Based on reviews from: Avicenna.AI official website, Radiology Today, AuntMinnie.com, Healthcare IT News, PubMed (for research papers/studies), LinkedIn (for professional discussions)

Last updated: 2026-07-18

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Press & Coverage

AuntMinnie
Avicenna.AI lands FDA clearance for CINA-CSpine
Avicenna.AI received 510(k) clearance from the U.S. FDA for its CINA-CSpine tool, designed to detect and triage cervical spine fractures from CT images. The tool demonstrated high sensitivity and specificity in validation studies.
2024-09
PR Newswire
Avicenna.AI lands FDA clearance for AI tool for cervical spine fracture detection
Avicenna.AI announced FDA 510(k) clearance for its CINA-CSpine tool, an AI algorithm that supports the detection and triage of cervical spine fractures from CT images, aiming to reduce delays in diagnosis.
2024-09
Healio
Avicenna.AI receives FDA 510(k) clearance for cervical spine fracture AI tool
Avicenna.AI's CINA-CSpine tool, utilizing deep learning and machine learning, has received FDA 510(k) clearance for detecting and assessing cervical spine fractures on CT imaging. This aims to improve timely medical attention for serious injuries.
2024-09
Radiology Business
FDA Grants 510(k) Clearance for AI Detection and Triage of Cervical Spine Fractures
The CINA-CSpine AI software received FDA 510(k) clearance for detecting and triaging cervical spine fractures on CT scans, demonstrating a 90.3% sensitivity rate in validation testing.
2024-09
PR Newswire
Avicenna.AI Secures CE Mark for Two Spine-Focused Medical Imaging AI Tools
Avicenna.AI announced CE Mark certification for CINA-CSpine, an AI tool for detecting and triaging cervical spine fractures from CT images, enabling its deployment across the European Economic Area.
2025-06
Diagnostics (MDPI)
Multicenter, Multinational, and Multivendor Validation of an Artificial Intelligence Application for Acute Cervical Spine Fracture Detection on CT
A peer-reviewed study validated CINA-CSpine (version 1.0) for acute cervical spine fracture detection on CT, reporting an overall per-case sensitivity of 90.3% and specificity of 91.9%.
2026-01
Avicenna.AI (Product Page)
CINA-CSpine - Avicenna.AI
CINA-CSpine is a triage tool designed to detect cervical spine fractures on non-enhanced neck CT scans, aiming to help radiologists identify potential fractures and reduce the risk of permanent neurological damage.
unknown
Avicenna.AI (Press Release)
Avicenna.AI Launches AVI: A Seamless Platform For Medical Imaging AI
Avicenna.AI launched its AVI Platform, a new platform that seamlessly delivers AI results into healthcare ecosystems, including its CINA-CSpine solution for cervical spine fractures.
2025-11

Videos

Product demos, reviews, and walkthroughs for CINA-CSpine.

View all on YouTube

Frequently Asked Questions

CINA-CSpine integrates seamlessly into existing PACS/RIS systems, automatically analyzing non-contrast CT scans of the neck. Its primary function is to detect and triage suspected acute cervical spine fractures, flagging them for radiologists to reduce interpretation delays and facilitate timely treatment.
CINA-CSpine has received 510(k) clearance from the U.S. FDA and CE Mark certification in Europe. The device complies with DICOM standards and is subject to Quality System (QS) regulations, ensuring a framework for data handling, though specific detailed data privacy protocols beyond general compliance are not publicly detailed.
CINA-CSpine is a triage and notification tool, not intended for primary diagnostic use; clinicians remain responsible for the final diagnosis. In validation studies, it demonstrated an overall sensitivity of 90.3% and specificity of 91.9% for acute cervical spine fractures.
The primary alternative is traditional radiologist interpretation of CT images without AI assistance. While other AI solutions for various conditions exist from Avicenna.AI and other vendors, specific direct competitors focused solely on cervical spine fracture detection were not prominently detailed in the provided information.
The search results indicate that CINA-CSpine is typically offered under a subscription-based pricing model, which can be based on factors like the number of installations or users. Specific cost implications for a department would depend on the negotiated terms with Avicenna.AI or its distribution partners.
CINA-CSpine aims to reduce the delay between CT scan acquisition and interpretation by automatically flagging suspected acute cervical spine fractures. This accelerated detection allows for quicker intervention and treatment, which is critical for improving patient prognosis and minimizing long-term neurological damage or paralysis.

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Suggest an Edit → | Last Verified: 2026-04-17 | First Added: 2026-04-17
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