AI Solutions for Regulated Industries
Custom AI Systems for Healthcare & Compliance
My Expertise
Healthcare AI
Developing the Monti Platform for continuous patient monitoring using wearables and ML
- Real-time vital sign analysis
- Early complication detection
- Published in European Heart Journal
Complex Data Analysis
Real-time processing of vital data, pattern recognition, predictive models
- Deep Learning & Contrastive Learning
- Time series analysis
- Anomaly detection
Regulated Markets
Experience with healthcare compliance, data protection, and regulatory requirements
- GDPR-compliant data processing
- Document intelligence
- Auditable AI systems
About Me
I am Lars Müller, AI developer at University Hospital Düsseldorf, where I develop the Monti Platform - a system for monitoring intensive care patients using wearables and AI. Our research team published our findings in the European Heart Journal - Digital Health.
In parallel, I consult companies in regulated markets on implementing custom AI solutions. My focus is on processing complex data in real-time, whether for healthcare applications or compliance documentation.
Projects
Monti Platform - AI for Patient Monitoring
My primary research at University Hospital Düsseldorf
Development of an AI system for early detection of complications in heart patients through continuous wearable data analysis. The platform uses self-supervised contrastive learning for anomaly detection in vital signs.
BSI Compliance Document Search
From 30 minutes to 30 seconds
AI-powered search across 1000+ pages of BSI IT-Grundschutz documentation. The system provides precise answers to compliance questions with exact source citations.
Example Query:
"What are the requirements for access control?"
→ Instant answer with reference to BSI INF.1.M13
Incl. Robotics, Reinforcement Learning, and other research projects
Ready for Your AI Solution?
Let's discuss how AI can solve your challenges.
or email me: [email protected]