Who is Nobra Calculator designed for?

It's ideal for developers and researchers building medical AI applications, clinical decision support systems, or integrating medical calculations with large language models (LLMs).

Can I integrate Nobra Calculator with large language models (LLMs)?

Yes, it is specifically designed to provide a seamless REST API for LLMs to query and obtain medical calculation results and interpretations.

Is Nobra Calculator suitable for direct clinical use?

No, it is intended solely for educational and research purposes. Always consult a qualified healthcare professional for medical diagnosis and treatment.

What unique features does Nobra Calculator offer?

Key features include a modular architecture, scalability, automatic OpenAPI documentation, robust Pydantic validation, and the ability to return clinical interpretations.

What is Nobra Calculator?

Nobra Calculator is a modular REST API providing calculations for various medical scores and indices, along with their clinical interpretations.

Nobra Calculator

Name: Nobra Calculator
Author: danielxmed

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Provides a modular REST API for calculating various medical scores and indices, designed for integration with large language models.

Nobra Calculator is a scalable REST API developed with FastAPI, offering a centralized service for medical calculations and scores. Its modular architecture is organized by medical specialties, allowing for the easy and progressive addition of new calculations. Beyond just providing numerical results, the API also returns clinical interpretations, making it a powerful tool for integrating precise medical score functionality into AI-driven applications and clinical decision support systems.

主な機能

01Returns both calculation results and their clinical interpretations

02Modular architecture with specialty-organized structure for easy expansion

030 GitHub stars

04Robust parameter validation using Pydantic for data integrity

05Automatic API documentation via Swagger/OpenAPI UI

06Scalable design optimized for growth and performance

ユースケース

01Developing new medical calculators within a structured and extensible framework

02Integrating medical score calculations into LLM-powered applications

03Building standardized API endpoints for clinical decision support systems