AI Clinical Assessment
Advanced symptom analysis and clinical decision support system
Thomas Müller
AI Processing
Data Collection
Patient data is collected from multiple sources including self-reported symptoms, medical history from EHR, and real-time vital signs when available.
AI Processing
Specialized medical AI models analyze the data to identify potential conditions, assess urgency, and determine the most appropriate specialty.
Clinical Integration
Results are integrated into clinical workflows with transparent reasoning, confidence scores, and healthcare provider verification.
About the AI Assessment
The AI assessment is designed to support clinical decision-making, not replace it. All assessments are verified by healthcare providers before final decisions are made. The AI provides recommendations based on pattern recognition from millions of similar cases while highlighting key risk factors and potential concerns.