LungQ-Care | Facilitating personalised Lung Treatment Decisions through a Deeptech AI Clinical Decision Support System

Summary
With the support of EIC funding, Thirona aims to transform their innovative thoracic AI imaging system, LungQ, into an end-to-end clinical decisions support system (CDSS) called LungQ-Care. The current information workflow of thoracic imaging makes it exceedingly complicated to personalise lung treatments. However, LungQ-Care tackles this challenge by enabling radiologists to quantify medical imaging and disease phenotypes to deliver structured analyses to lung doctors. This empowers them to interpret medical imaging effectively and offer personalised treatments to their patients for optimal disease management while reducing costs. LungQ displayed clinical impact by reducing anaesthesia induced bronchoscopic interventions by 81.5% for COPD cases. Additionally, LungQ reduces the time to analyse cystic fibrosis images from days to minutes. With medical and technical expertise, Thirona has the capabilities to lay the foundation for a scalable and ground-breaking AI platform in lung care.
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Web resources: https://cordis.europa.eu/project/id/190100321
Start date: 01-10-2023
End date: 30-09-2025
Total budget - Public funding: 4 756 250,00 Euro - 2 499 999,00 Euro
Cordis data

Original description

With the support of EIC funding, Thirona aims to transform their innovative thoracic AI imaging system, LungQ, into an end-to-end clinical decisions support system (CDSS) called LungQ-Care. The current information workflow of thoracic imaging makes it exceedingly complicated to personalise lung treatments. However, LungQ-Care tackles this challenge by enabling radiologists to quantify medical imaging and disease phenotypes to deliver structured analyses to lung doctors. This empowers them to interpret medical imaging effectively and offer personalised treatments to their patients for optimal disease management while reducing costs. LungQ displayed clinical impact by reducing anaesthesia induced bronchoscopic interventions by 81.5% for COPD cases. Additionally, LungQ reduces the time to analyse cystic fibrosis images from days to minutes. With medical and technical expertise, Thirona has the capabilities to lay the foundation for a scalable and ground-breaking AI platform in lung care.

Status

SIGNED

Call topic

HORIZON-EIC-2023-ACCELERATOROPEN-01

Update Date

12-03-2024
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