How it Works

The main page contains a free-text box where you can type a short description - for example, a clinical note fragment or the phrase you might normally enter into your EMR’s search field.

When you click Analyze, the text is processed on our server to identify key medical terms, their relationships, and meaning. From this, the system suggests possible ICD-10 results that match the intent of your input - even if the exact wording differs from official ICD titles.

Workflow example

1. Type: “chest pain when breathing deeply.”
2. The analyzer highlights related concepts such as pleuritic pain or respiratory symptom.
3. The ICD-10 result panel then lists codes such as R07.1 - Chest pain on breathing and other potential results.

Language handling

ICDhelp.ai automatically detects the language of your input text and, by default, provides results in the same language whenever available. You can also manually choose the preferred language for ICD-10 names and AI-generated descriptionse.

Understanding the result panel

Each result line shows the ICD-10 code and its description from the local ICD-10 database. If the database entry for a particular code is missing (for example, because it isn’t included in the local dataset or was suggested by the AI as a broader or non-standard code), the field may appear blank. The ICD code will still open the corresponding category and related diagnoses where available.

On the right side, the tool displays the AI-generated interpretation of the code description in your selected language. This can help clarify meaning or provide quick translation support, but it is not an official ICD-10 text and should be treated as explanatory only.

What the tool does not do

• It does not determine which diagnosis is clinically correct for a patient.
• It does not store patient data or generate documentation inside your EMR.
• It does not replace official ICD-10 lookup software required for billing or reporting.

Data & privacy

Inputs are processed only to generate suggestions and are not stored permanently. Do not include identifiable patient data. See our Privacy Policy for details.

Technical overview

ICD-10 data is loaded from public classification tables. Semantic analysis and suggestion generation are performed on the server using a large-language model (LLM) tuned for medical terminology.