CTxAI: Quality by design of clinical studies using explainable AI (Innolink: 101.466 IP-ICT)

• Forschungsstelle: INNOSUISSE
• Projektnummer: 101.466 IP-ICT
• Projekttitel Englisch: CTxAI: Quality by design of clinical studies using explainable AI (Innolink: 101.466 IP-ICT)

Schlüsselwörter (Englisch)

ICT, Deep learning

Abstract (Englisch)

To improve CT protocol design, the proposed research topic is to assess micro-level risks through data-driven modelling supported by deep learning and NLP technologies. The micro risk analysis empowers explainability of individual risk factors within the trial protocol and support risk mitigation.