In diesem Semester wird die im WiSe 2022/23 erfolgreich gestartete Vortragsreihe Medical Information Sciences fortgesetzt. Renommierte Wissenschaftlerinnen und Wissenschaftler unterschiedlicher Fachdisziplinen und Forschungsstandorte geben jeden Donnerstag ab 16:00 Uhr Einblicke in aktuelle Fragestellungen und Anwendungsgebiete des breiten Forschungsfeldes Medical Information Sciences.

Artificial intelligence in health is often implemented primarily as a technology for detecting anomalies or diseases. Yet, its true potential reaches further: health AI should not only analyse data and raise alarms, but also support people, healthcare professionals, and care systems in acting early, effectively, and with less burden. This talk provides an overview of current work on AI-based health applications — from the analysis of multimodal data, digital biomarkers, and intelligent early detection to personalised approaches for prevention and intervention. At its core is the question of how heterogeneous data sources such as speech, audio, images, sensors, physiological signals, behavioural data, and everyday interactions can be translated into concrete support: enabling earlier risk detection and adaptive interventions. The talk will discuss methodological perspectives from machine learning, signal processing, and multimodal data analysis, as well as practical requirements for robust, trustworthy, and clinically relevant systems. The aim is to offer a broad view of health AI as a bridge between data and action: moving beyond mere detection towards systems that support prevention and intervention — and thereby contribute to healthcare that acts earlier, more individually, and more effectively, while remaining trustworthy throughout.