AI in Radiology: A Cross-Continental Collaboration for Lung Disease Assessment

Purpose and goal

The staff exchange project seeks to advance strategic competence in Sweden through international mobility with four goals: transferring knowledge to Halmstad University by enhancing AI capacities in healthcare, fostering long-term collaboration for future joint projects and funding, extending knowledge transfer to other industries like manufacturing, and impacting global health innovation by leveraging AI and anonymized data to address health challenges and support sustainability goals.

Expected effects and result

The project aims to draft the next phase of the AIR (Artificial Intelligence in Radiology) project, which currently focuses on using AI to track interstitial lung diseases. The staff exchange will draft a proposal to enhance the algorithm, enabling it to interpret various medical data types—imaging, electronic health records, lab results, genomics, graphs, and medical text—in a multimodal format, ensuring flexible and comprehensive analysis across different medical modalities.

Planned approach and implementation

The project will be implemented in two phases. The first will focus on defining the scope of the second-generation AIR project, while the second will centre on knowledge transfer and collaboration with scholars and industry. Planned activities include mapping multimodal AI improvements, industry collaboration, seminars, conferences, and developing a TRL roadmap. Deliverables will include AI models, documentation, structured data, and a prototype AI algorithm for medical reports.