Facilitating personalised Lung Treatment Decisions through a Deeptech AI Clinical Decision Support System
Thirona's LungQ-Care project aims to develop an AI-driven clinical decision support system to enhance personalized lung treatment and streamline thoracic imaging analysis.
Projectdetails
Introduction
With the support of EIC funding, Thirona aims to transform their innovative thoracic AI imaging system, LungQ, into an end-to-end clinical decision support system (CDSS) called LungQ-Care.
Current Challenges
The current information workflow of thoracic imaging makes it exceedingly complicated to personalize lung treatments.
Solution Overview
However, LungQ-Care tackles this challenge by enabling radiologists to:
- Quantify medical imaging and disease phenotypes
- Deliver structured analyses to lung doctors
This empowers them to interpret medical imaging effectively and offer personalized treatments to their patients for optimal disease management while reducing costs.
Clinical Impact
LungQ displayed clinical impact by:
- Reducing anaesthesia-induced bronchoscopic interventions by 81.5% for COPD cases.
- Reducing the time to analyze cystic fibrosis images from days to minutes.
Expertise and Future Plans
With medical and technical expertise, Thirona has the capabilities to lay the foundation for a scalable and groundbreaking AI platform in lung care.
Financiële details & Tijdlijn
Financiële details
Subsidiebedrag | € 2.499.999 |
Totale projectbegroting | € 4.756.250 |
Tijdlijn
Startdatum | 1-10-2023 |
Einddatum | 30-9-2025 |
Subsidiejaar | 2023 |
Partners & Locaties
Projectpartners
- THIRONA BVpenvoerder
Land(en)
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