Radiology AI-Driven Clinical Decision-Making with Multi-Modal Exploration
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.
Team
Dr. Farhad Nooralahzadeh, ZHAW School of Engineering
Prof. Dr. Michael Krauthammer, UZH Department of Quantitative Biomedicine
Practice partner
Dr. med. Christian Blüthgen, USZ Institut für Diagnostische und Interventionelle Radiologie
Running time: 2025-2028