Overview
Infermedica is an AI-powered health API that analyzes symptom descriptions in plain text and suggests possible conditions or next steps. It uses NLP to understand patient-reported symptoms and helps developers build symptom checkers, triage tools, and health chatbots. You need an API key from the Infermedica developer portal to get started.
Beginner Tip
Start with the /parse endpoint to extract symptoms from free text before passing them to /diagnosis — this two-step approach gives the most accurate results.
Available Data
Example Response
{
"input": "test@example.com",
"is_valid": true,
"format_valid": true,
"details": "Input passes all validation checks"
} Field Reference
mentions List of clinical concepts (symptoms, risk factors) extracted from the input text. id Infermedica internal identifier for the recognized symptom or condition. name Human-readable name of the extracted clinical concept. common_name Everyday language name for the clinical concept. choice_id Indicates whether the symptom is present, absent, or unknown (present/absent/unknown). type Type of the concept, such as symptom or risk_factor. Implementation Example
// ⚠️ Note: This URL may be a documentation page. Check official docs for actual API endpoint.
const url = "https://developer.infermedica.com/docs/";
// Replace headers or query params with the values required by this API.
const response = await fetch(url, {
headers: {
"X-API-Key": "YOUR_API_KEY"
}
});
if (!response.ok) throw new Error(`Request failed: ${response.status}`);
const data = await response.json();
console.log(data); What Can You Build?
Note: These code examples are AI-generated and unverified. Always refer to the official API documentation for accurate usage.
Common Errors & Troubleshooting
Metadata Score Breakdown
Estimated from metadata — endpoint not independently tested
Metadata estimate · endpoint not independently tested
Technical Specifications
Related Tags
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