contextual med

Clinical alignment for Large Language Models

about

Building Medical AI systems require capabilities across different axes:

  • Breadth: Formulating the right questions to pull the right information
  • Depth: Understanding the clinical intent to modulate input and outputs accordingly
  • Quality: Evaluate factual correctness and adherence to clinical guidelines



Contextual Med provides a plug-and-play API for clinically-aligned LLMs — with greater factual accuracy, deeper understanding of user intent, and verification of outputs.


Build more accurate, reliable Medical LLM tools with a plug-and-play API

Contextual Med can help frame the right questions to ask, obtain relevant information & resources, and modulate LLM generations for various medical use-cases -- all based on the specific clinical context.

All available through an API call.



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features

Semantic Search from Clinical Intent

Build contexts based on the right questions to ask for the clinical use-case

Context-based Generation

Modulate LLM generations based on clinical circumstance

Factual Verification

Self-validation and evaluation of generated outputs per clinical guidelines

At-Cost API

Bring Your Own (OpenAI) API Key model 😊

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Ask Contextual Med

Built on our API, Ask Contextual Med is a clinical reference tool designed to provide a flexible interface for clinical knowledge.

You can use natural language to ask it to provide information specific clinical questions, provide a bulleted outline of a particular topic, generate differential diagnoses, and more!

Ask Contextual Med combines the flexibility and information synthesis capabilities of LLMs with the domain-driven design and factual accuracy of the Contextual Med API.

Visit Ask ContextualMed