icolung
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About
icolung is a cloud-based artificial intelligence software designed for the automated analysis of non-contrast chest CT scans. Developed through the icovid project and co-funded by the EU Horizon 2020 program, it was created to assist healthcare professionals in the detection and quantification of COVID-19 related lung lesions. The tool provides objective measurements of lung involvement, helping clinicians understand the severity of the disease and monitor its progression over time. Users can also find webinars and blogs on the project website that detail the role of imaging AI in a post-critical COVID-19 phase and the neurological associations of the virus. The software functions by processing CT images to identify specific patterns associated with viral pneumonia. It provides automated quantification, which results in a standardized report that includes severity scoring. This process can be integrated directly into existing hospital Picture Archiving and Communication Systems or accessed via a simple web upload. The AI is trained to increase the sensitivity and specificity of CT imaging, providing diagnostic support that is fast and consistent across different clinical settings. It is primarily intended for radiologists, pulmonologists, and emergency room clinicians who require rapid triage and risk assessment for patients suspected of having COVID-19. By providing a standardized quantification of lung involvement, it helps these medical professionals make better-informed treatment decisions and improve resource allocation within hospitals. It is particularly useful in multicenter settings where consistency in reporting is crucial for managing high patient volumes. What sets icolung apart is its large-scale clinical validation, having impacted the care paths of over 58,000 patients across 180 hospitals globally. Unlike many experimental AI models, it is offered free of charge to clinical practices and has been developed through a massive European collaboration. Furthermore, the project maintains high standards of data security and regulatory compliance, being ISO13485 and ISO27001 certified, and is available for clinical use in Europe.
Pros & Cons
Impacted care paths for 58,000+ patients across 180 hospitals globally
Available free of charge for routine clinical practice
Open-source code available via GitHub for transparency and research
Certified under ISO13485 and ISO27001 standards
Supports both web upload and full PACS integration
Regulatory approval is still pending for use in the United States
Specifically designed for COVID-19 and may not cover other lung pathologies
Research project phase officially ended in February 2023
Use Cases
Radiologists can automate the detection and measurement of lung lesions to provide faster and more objective diagnostic reports.
Emergency room physicians can utilize severity scoring to quickly triage patients and allocate hospital resources during pandemic surges.
Medical researchers can utilize the open-source GitHub repositories to develop and refine AI models for chest imaging.
Pulmonologists can track the progression of lung damage over time using consistent, objective measurements from the software.
Hospital IT managers can implement a secure, cloud-based solution that integrates directly with existing clinical workflows and imaging systems.
Platform
Features
• gdpr and hipaa compliance
• pacs integration
• early covid-19 detection
• standardized clinical reporting
• cloud-based automated updates
• severity scoring for triage
• non-contrast chest ct analysis
• automated lung lesion quantification
FAQs
Is icolung available for clinical use?
Yes, icolung is available for clinical use in Europe and has been used in over 180 hospitals globally. Regulatory approval for use in the United States is currently pending.
How is the data integrated into a hospital's workflow?
The software offers two primary integration methods: a simple web-based upload or a fully integrated solution within the hospital’s PACS. This allows for automated updates and seamless reporting within existing clinical environments.
Is the software secure and compliant with data regulations?
The platform is ISO13485 and ISO27001 certified, ensuring high standards for medical device quality and information security. It is also fully compliant with GDPR and HIPAA regulations regarding patient data privacy.
Can researchers access the underlying data or code?
All code developed during the icovid project is publicly available on GitHub via the MONAI and masadcv repositories. Researchers can also request access to collected data for bona fide research purposes by contacting the creators.
Pricing Plans
Free
Free Plan• Automated lung quantification
• PACS integration
• Web upload access
• Standardized reporting
• Severity scoring
• GDPR/HIPAA compliance
Job Opportunities
There are currently no job postings for this AI tool.
Ratings & Reviews
No ratings available yet. Be the first to rate this tool!
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