How the Diagnostic Engine Works
We use a probabilistic graphical model mapped to established clinical guidelines, rather than generic large language model text generation.
The 3-Step Analysis
1. Symptom Extraction
When you describe what you're feeling, our NLP extracts specific medical concepts (e.g., "head hurts" → Cephalgia). It maps severity, duration, and anatomical location.
2. Differential Generation
The reasoning engine queries a graph of 10,000+ conditions. It calculates probabilities based on Bayesian inference, weighing your demographic risk factors against symptom prevalence.
3. Triage Recommendation
Finally, it cross-references the top differentials against triage protocols (e.g., Manchester Triage System) to recommend appropriate care levels (Emergency, Urgent, Primary Care, Self-care).
Why not just use ChatGPT?
Standard LLMs are trained to predict the next word, leading to plausible but clinically inaccurate medical advice (hallucinations). They often over-diagnose rare conditions ("zebra hunting"). Our engine is constrained by strict, peer-reviewed clinical pathways.
Frequently Asked Questions
Is this a medical diagnosis?
No, Dr. Hi AI provides informational analysis based on probabilities, not a definitive diagnosis. Always consult a physician.
How accurate is the system?
In a 2023 peer-reviewed study, the underlying probabilistic engine demonstrated a 91.5% top-3 diagnostic accuracy against standardized clinical vignettes.
Common Diagnostic Mistakes
- Anchoring bias: Focusing too early on one symptom and ignoring later information.
- Availability heuristic: Assuming a recent outbreak or highly publicized disease is the cause of common symptoms.
Your Natural Next Step
If you are experiencing severe symptoms, go to the nearest emergency room. Otherwise, Start a free AI symptom check.