In-depth insights into current developments
Artificial intelligence opens up new possibilities in medical applications − from precise diagnostics to personalised treatment approaches. But as technology advances, so do the challenges. How can AI decisions be made transparent? How reliable are intelligent systems in everyday clinical practice? And how can errors be detected, understood and corrected?
The latest event in the MedTalk series, “AI in Medical Applications – Understandable & Reliable,” addresses these questions. Two expert presentations will provide in-depth insights into current developments, challenges and future prospects for medical AI systems. HFU Professor Dr. Holger Ziekow will demonstrate how explainable artificial intelligence can help make complex models understandable and transparent, where the limits of these approaches lie, and what insights can already be derived from current research projects. HFU Professor Dr.-Ing. Maja Temerinac-Ott will highlight how reliable and reproducible AI-supported image recognition is achieved, what matters beyond mere accuracy metrics, and how future developments will enable scalable and interpretable clinical implementation.
Following the presentations, participants and speakers will have the opportunity to engage in conversation, share experiences, and exchange ideas with colleagues from industry, research and development.
The event will take place on Thursday, 11 June, from 4.00 pm to 6.00 pm at the HFU Internal link opens in the same window:Innovation and Research Center (IFC) in Tuttlingen (Katharinenstraße 2). The event is organised by MedicalMountains in cooperation with Internal link opens in the same window:CASE4Med and the Internal link opens in the same window:CoHMed (Connected Health in Medical Mountains) innovation and transfer partnership.
External link opens in a new window:Registration and further information about the programme.