Real-time morphological analysis of spirograms for homogeneous spirometry quality assessment. Compatible with all device brands.
AI-powered
Spirometry Copilot
Real-time morphological analysis of spirograms for homogeneous spirometry quality assessment. Compatible with all device brands.
AI-powered
Spirometry Copilot
Beyond Numbers: Morphology Over Metrics
The displayed charts are from spirometries tagged as A-quality by a first class software, because it is based solely on numerical data
Our results show that it is possible to develop an AI algorithm to assess spirometry acceptability in isolated maneuvers, with a high level of confidence.


Check our Validation Study: An AI-based computer algorithm for assessment of spirometry maneuver acceptability
44,000
15,000
Spirometric maneuvers carefully labeled by highly skilled experts to train the algorithm
Patients with various respiratory conditions and data collected over 15 years
AI-based computer algorithm
What we unlock
Enhances the accuracy and efficiency, facilitating more reliable and streamlined clinical trial processes
Streamlined clinical trials process
Pharma
Integration into the provider's system can help with everyday workflow without compromising human resources
Workflow optimization
Provider
Streamlines manual review time and enhancing overall workflow efficiency
AI-powered Spirometry Copilot
CRO
Spirocal Platform
Sites Risk Monitoring: poor patient performance, operators retraining needs, data accuracy, and precision for better reliability
Site Management and Monitoring CRM
Spirocal.CRO
Calibration record system to detect spirometer device malfunctions and
accuracy degradation
Device Calibration Quality Control
Spirocal.QC
AI-powered real-time morphological and quality analysis of spirometry maneuvers. Avoids human reviewer variability in quality assessment
AI-powered PFT interpretation and analysis
Spirocal.AI
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