AI-Based Image Analysis Algorithms for Clinical Diagnostic Decision Support

Main Objective

The main objective of this challenge is to identify, evaluate, and integrate advanced AI algorithms for image analysis into an AI-based Clinical Decision Support System (CDSS) in order to support healthcare professionals in the clinical diagnostic process.

Challenge Description

In the context of the rapid digitalization of healthcare and the increasing volume and complexity of medical imaging data, we are focused on strengthening our AI-based Clinical Decision Support System (CDSS) through the integration of advanced image processing algorithms. This challenge specifically aims to identify external AI solutions that can be effectively integrated into our CDSS architecture, enabling automated image analysis capabilities that enhance clinical interpretation and support more informed diagnostic decision-making.

We seek research groups, healthtech startups, SMEs, scale-ups, and technology providers with validated or advanced-stage AI solutions in medical imaging (e.g., CT, MRI, X-ray, ultrasound) that demonstrate strong technical performance, clinical relevance, and readiness for integration. Regulatory awareness and experience in real-world clinical environments are considered valuable.

We are open to collaboration models such as technology integration, co-development, pilot projects, or joint research initiatives, aiming to establish strategic partnerships that generate measurable clinical impact.