SymptomTree.ai uses MedGemma and Agentic AI to transform your natural symptoms into clinical-grade intelligence.
Speak or type naturally about how your symptoms.
AI interprets medical context, severity markers and symptom patterns.
AI asks custom follow-up questions to clarify intent based on medical guidelines.
Final data formatted for PDF or FHIR fostering clinician review.
Correlation: Subjective vs. Objective
Most medical data is lost in the "recall gap" between visits. We turn that silence into clinical intelligence.
Patients forget 40-80% of medical information immediately after a visit.
Heart rate spikes exist in a vacuum, disconnected from subjective symptoms.
Doctors spend half the visit just trying to reconstruct the last 30 days.
Agentic AI captures symptoms as they happen, using clinical-grade follow-ups.
Biometric spikes are automatically linked to subjective patient experiences.
Narrative data is exported instantly as FHIR resources for EHR integration.
We leverage MedGemma—a specialized LLM fine-tuned on medical datasets—to ensure safety, accuracy, and clinical relevance.
Accuracy in mapping natural language to SNOMED-CT codes.
Data retention on open-web models. All PHI is locally de-identified.
Native FHIR integration for seamless hospital interoperability.
Don't just give doctors a transcript. Give them an answer. SymptomTree synthesizes weeks of data into a 30-second read, highlighting anomalies and correlating triggers.
Healthcare is facing a "Triple Threat" that only Agentic AI can solve.
By 2030, 1 in 6 people worldwide will be aged 60+. This demographic shift brings a surge in chronic multi-morbidities that require constant, not episodic, monitoring.
Patients are generating billions of data points via Oura, Whoop, and Apple Watch. But data without contextual narrative is just noise to a clinician.
Doctors spend 2 hours on EHR paperwork for every 1 hour of care. They are drowning in manual history-taking and lack the tools to process home-health data.
We use Agentic AI to synthesize the Aging need for care, the Wearable data stream, and the Clinician's need for efficiency into a single, structured FHIR Intelligence layer.
Moving healthcare from reactive crisis to proactive management and preventive care.
Transforming passive data into active alerts. We find the "why" behind the heart rate spike.
Stop chasing history. Start diagnosing. FHIR-ready summaries reduce intake by 70%.
Driving value-based care. Early intervention prevents the most expensive room in the hospital: the ER.
SymptomTree.ai is built from the ground up to exceed global healthcare data standards.
Full compliance with US and EU data protection laws. We act as a Business Associate (BA) for healthcare providers, ensuring strict data governance.
Personal Identifiable Information (PII) is scrubbed locally before analysis. Our MedGemma instance only sees clinical markers, never your identity.
Data is encrypted at rest and in transit using AES-256 bit encryption. Secure tunnels ensure FHIR data moves safely into EHR systems.
Every data access event is logged in a permanent, verifiable audit trail. Complete transparency for institutional compliance officers.