Cluster: AI-Diagnostic
AI methods for medical diagnostics are being developed in this cluster. The focus is on multimodal sensor data fusion and machine learning for the detection and assessment of complex conditions such as pain, depression or postoperative stress.
Focus area:
- Analysis of physiological and behavioural characteristics (speech, facial expressions, activity)
- Prediction of individual risks and changes using learning systems
- Personalized assistance systems for aftercare or to support chronically ill patients
- Automated pain detection and quantification using multimodal sensor technology
- Development of adaptive pain measurement methods for real-time monitoring and treatment
- Detection and classification of depressive symptoms using multimodal data sources
Relevante Projekte:
- DFG: PAIN-MM (Multi modal AI based pain detection)
- DFG: PAIN-IMC (Intermediate Care Patients)
- EFRE: ORAKEL-Depression