How AI in Healthcare is different from other AI-Language Models
Science & Technology
How AI in Healthcare is Different from Other AI-Language Models
In today's tech landscape, numerous AI companies are emerging, with some of the more prominent ones being OpenAI and Anthropic, known for their advancements in large language models (LLMs). However, healthcare presents unique challenges that prevent the direct application of these LLMs without significant modifications. This article delves into the specific guardrails necessary for using AI in healthcare settings.
For example, our approach involves leveraging a knowledge graph. Without diving too deep into technical details, we first tap into the physician directory and systematically scrape all the relevant information about physicians. This data is then structured in a Knowledge Graph format. When queries are made about a physician, unlike typical LLMs that scour the worldwide web for answers, our system consults the knowledge graph. This ensures accurate and reliable information that aligns with healthcare standards. Essentially, the knowledge graph works in tandem with the large language model, providing a robust and dependable solution tailored to the healthcare sector.
Keywords
- AI Companies
- Large Language Models (LLMs)
- OpenAI
- Anthropic
- Healthcare
- Guardrails
- Knowledge Graph
- Physician Directory
- Reliable Information
FAQ
Q1: Why can't large language models be used directly in healthcare? A1: Large language models like those from OpenAI and Anthropic generally search the web for information. In healthcare, this can result in unreliable and non-compliant data. Therefore, healthcare applications require stricter guardrails.
Q2: What is a knowledge graph and why is it important in healthcare AI? A2: A knowledge graph is a structured representation of data. In healthcare, it ensures that AI systems consult a reliable and accurate database, such as a physician directory, instead of searching the internet for potentially unreliable information.
Q3: How does the knowledge graph work with large language models in healthcare? A3: The knowledge graph functions in tandem with large language models by providing them with a verified and structured data source. This collaboration ensures that the AI delivers consistent, trustworthy information tailored to healthcare standards.