Radiology AI-Driven Clinical Decision-Making with Multi-Modal Exploration (RADICAL)
Description
The rapid digital transformation in healthcare has surged data volume and variety, overwhelming clinicians. Much of this data is unstructured, making it hard to explore. Radiology, a key diagnostic field, faces fragmented records.
We propose RADICAL, an AI tool streamlining workflows with natural language queries, improving decisions and outcomes.
Key data
Projectlead
Co-Projectlead
Project partners
Universität Zürich / Krauthammerlab; Universitätsspital Zürich / Institut für diagnostische und interventionelle Radiologie
Project status
ongoing, started 11/2025
Institute/Centre
Institute of Computer Science (InIT)
Funding partner
Digitalisierungsinitiative der Zürcher Hochschulen DIZH
Project budget
599'393 CHF
Further documents and links
Obere Kirchgasse 2 / Steinberggasse 12/14
8400 Winterthur