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.

Ultrasound is safe, real-time, portable, and inexpensive, yet its clinical use remains heavily constrained by operator dependence. High-quality scans require substantial expertise, and trained sonographers or radiologists are not always available across hospitals, outpatient settings, or underserved regions. This talk presents a research vision for democratizing ultrasound imaging through robotics and artificial intelligence.

The presentation will outline intelligent ultrasound systems that can understand the imaging task, guide or automate scan acquisition, assess image quality, estimate anatomical coverage, flag uncertainty or suspicious findings, and support expert review when necessary. This shifts ultrasound from a purely expert-driven procedure toward a scalable workflow in which robotic platforms, AI-based perception, and decision-making modules assist acquisition, while clinicians remain responsible for final validation and diagnosis.

The talk will further discuss key methodological components underlying this vision, including ultrasound image understanding, quality assessment, anatomical completion, robot-assisted scanning, high-level orchestration with foundation models, learning-based scan policies, trustworthy human–AI interaction, and neural rendering methods such as Ultra-NeRF for retrospective virtual re-scanning. Together, these directions aim to make ultrasound imaging more accessible, reproducible, and clinically useful at scale.