A5057546611- Artificial Intelligence in Healthcare and Education
- AI in cancer detection
- Radiomics and Machine Learning in Medical Imaging
- Explainable Artificial Intelligence (XAI)
- Ethics and Social Impacts of AI
- Machine Learning in Healthcare
Technische Universität Berlin
2022-2023
Medical University of Graz
2022
The increasing prevalence of digitised workflows in diagnostic pathology opens the door to life-saving applications artificial intelligence (AI). Explainability is identified as a critical component for safety, approval and acceptance AI systems clinical use. Despite cross-disciplinary challenge building explainable (xAI), very few application- user-centric studies this domain have been carried out. We conducted first mixed-methods study user interaction with samples state-of-the-art...
Automated image analysis and artificial intelligence (AI) are becoming increasingly common in digital pathology software. While various proprietary systems exist, there no fully vendor-agnostic integration approaches for AI apps. This makes it difficult vendors of solutions to integrate their products into the multitude non-standard software pathology. The EMPAIA Consortium is developing an open decentralized platform allowing AI-based apps different be integrated with existing clinical IT...