Facilitating personalised Lung Treatment Decisions through a Deeptech AI Clinical Decision Support System
Sector: Hospital • Location: Netherlands
Source: EU Funding & Tenders Portal
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 imag
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Participants
Sponsoring Agency | Obfuscated Data |
Company | Obfuscated Data |
Status
Original status | ended |
Taiyo status | Obfuscated Data |
Taiyo last update | 00-00-0000 |
Available timestamps | 00-00-0000 |
Available timestamp type | Obfuscated Data |
Contact
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Phone | 0000000000 |
ObfuscatedData@email.com | |
Address | Obfuscated Data, Obfuscated data, obfuscated data, Obfuscated data |
Description
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. |
Original sub-sector | Obfuscated |
Original Currency | USD |
Original budget | 000000000000000 |
Procurement method | Obfuscated Data |
Budget | 000000000000000 |
Location
Region | Obfuscated |
Country | Obfuscated |
State | Obfuscated Data |
County | Obfuscated |
Location | Obfuscated Data, Obfuscated data, obfuscated data, Obfuscated data |
Source
Source reliability | High |
Data quality score | 100% |
Source | Obfuscated Data |
URL | obfuscated_data,obfuscateddata.com |
More Details
Project Type | Obfuscated Data |
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