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Presenting a version of our internal benchmark for evaluating large language models (LLMs) on complex patient treatment tasks
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The Functional Medicine Benchmark: measuring the treatment decisions of AI systems

Presenting a version of our internal benchmark for evaluating large language models (LLMs) on complex patient treatment tasks

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Presenting a version of our internal benchmark for evaluating large language models (LLMs) on complex patient treatment tasksInsight

The Functional Medicine Benchmark: measuring the treatment decisions of AI systems

Presenting a version of our internal benchmark for evaluating large language models (LLMs) on complex patient treatment tasks

a wall shelf with neatly organized booksInsight

Diadia Puts Transparency to Work on Clinical AI’s Confidence Problem.

As AI gains momentum in the clinical arena, it’s crucial that we understand the logic behind its conclusions. Diadia’s Transparency Lab helps physicians bring a more thoughtful approach to evaluating results.

Sticky notes scattered across a desk, representing the off-the-clock hours complex cases consume.Insight

Don't Let Complex Cases Limit the Growth of Your Precision Practice

Diadia helps functional and precision practices save valuable time analyzing complex workups, giving you room to grow without adding hours or sacrificing clinical standards.

A glass jar of glowing health-data icons, representing the multi-omic synthesis behind a complex case.Insight

The Problem Your AI Scribe Doesn't Solve

AI scribes save clinicians valuable time on documentation, but they weren't built to analyze the multi-omic data of complex cases. Diadia was.

An arrow striking the center of a target while fragments break away, illustrating AI claims that hit the mark versus those that rest on unproven inference.Insight

Your AI Gave You a Confident Answer. One in Three Steps Behind It Aren't Proven.

Diadia evaluated 3,035 biomedical claims across four frontier AI models. The hallucinations were rare. The inference presented as proof was the larger problem.

New research from Diadia Health evaluating 3,000 biomedical claims across four frontier LLMsTechnical Blogs

When 97% accuracy hides 33% uncertainty: What claim-level verification reveals about AI diagnostics

New research from Diadia Health evaluating 3,000 biomedical claims across four frontier LLMs

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