Buy vs. DIY: Why Open-Source AI Can’t
Understand Healthcare Data

Components of the data-processing pipeline
Healthcare-specific AI
Benefits of an end-to-end solution
The role of human abstraction
The role of human abstraction
How Mendel uses human reasoning at machine scale
Unlock the power of unstructured clinical data
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Open-source AI can read, but it often doesn’t understand the language of medicine —prompting time consuming post-processing and loss or misunderstanding of crucial information.

What if there was a healthcare-specific AI capable of reading data like a physician?

An AI built for healthcare would offer:

Extraction and abstraction processes informed by clinical expertise

The ability to resolve conflicting information, and to do so across time

A relational infrastructure for deeper analysis

Unlock the power of unstructured clinical data

Read our whitepaper for a succinct exploration of the data-processing pipeline, and learn how healthcare-specific AI enables human reasoning at machine scalehuman reasoning at machine scalehuman reasoning at machine scalehuman reasoning at machine scalehuman reasoning at machine scale to unlock the potential of your clinical data.

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