AI4LUNGS will develop and validate novel AI-based tools and computational models to improve patient stratification, optimizing diagnosis and treatment of respiratory diseases. The models aim to incorporate clinical partners’ multiple data sources, registries and open national/international databases, including multiple data types from medical records, imaging data as well as novel data from digital stethoscope and –omics. AI4Lungs stratification strategy will build computational models employing structured and unstructured data modalities, leading to more accurate positioning of patients and enabling them to benefit from global data and knowledge shared during all stages of care, focusing on diagnosis and treatment planning. AI and real-world data combined with innovative holistic diseases modelling, will offer a solution for allocating resources more efficiently, making best treatment pipelines accessible to more patients while complying with FAIR principles and relevant regulatory and ethical guidelines. The main objective of the AI4LUNGS project are:
1. Design and build a guideline-based decision support system.
2. Develop a set of integrated and interpretable computational models using AI.
3. Integrate novel data modalities: a) new modality lung auscultation recordings from digital stethoscope examination; and b) new uses for -omics biomarkers.
4. Design, develop and deploy a secure, easy-to-integrate and scalable infrastructure based on industry-accepted protocols and existing systems of KMPG and Yonalink, managing and processing data according to the GDPR, FAIR principles and ethical principles.
5. Design a personalised interactive dashboard.
6. Create an open-access data repository from retrospective and prospective data of approximately 7000 patients (Medical centres).
7. Demonstrate and validate the AI4Lungs tools.
8. Study the impact at all levels of the AI4Lungs concept by performing a Health Technology Assessment (HTA).
9. Maximize impact and design a sustainable exploitation strategy.
10. Analyse and create awareness of ethical, legal and social implications by operationalizing digital ethics principles by applying the Digital Ethical Risk Assessment (DERA®).
AI4LUNGS’ ambition is to successfully create and validate AI tools and computational models to improve patient stratification, ultimately optimising diagnosing and treating respiratory diseases - Interstitial Lung Diseases (ILDs), Infectious Diseases and cancer. It aims to support physicians in their decision-making during the diagnosis and treatment processes, streamlining and digitalising procedures, potentially saving time and reducing the need for numerous examinations compared to traditional approaches. The feasibility and efficiency of the developed solutions will be incorporated into a single system with a UX/UI dashboard to be evaluated in 2 pilots.
