Session 4: Theme - Health & Biomedical AI
Running from 11.20-12.30
- EEG-based brain–computer interface for robotic assistance with user intention prediction (Jae Kim)
- Data representation and algorithmic choices in sports cardiology: a bias-aware neural architecture search-driven arrhythmia classification (Erik Vanegas Muller)
- Estimating the potential health impacts of community-wide vaccination against Klebsiella pneumoniae infections in older adults in England: a mathematical modelling study (Lay Dewi)
- From sensors to systems: building low-latency, privacy-preserving remote health monitoring with in-network machine learning (Yvonne Lu)
- The role of multi-annotator datasets in medical segmentation uncertainty (Sophie Fischer)