# Diadia Health > Diadia is clinical-reasoning AI for clinicians: it applies your clinical reasoning across diagnostics, analysis, patient visits, and follow-up, synthesizing labs, symptoms, and genetic context into transparent analysis for complex cases. Links point to clean Markdown versions of each page. For the complete content bundle in a single file, see https://www.diadiahealth.com/llms-full.txt. ## Pages - [Home](https://www.diadiahealth.com/md): An AI that practices like you do — helping functional and precision-medicine clinicians take on more patients in their own clinical style, without adding hours. - [Our Technology](https://www.diadiahealth.com/md/technology): Learn how Diadia applies your clinical reasoning across diagnostics, analysis, patient visits, and follow-up. - [About Us](https://www.diadiahealth.com/md/about): Diadia is built by researchers who deployed AI in high-stakes environments long before healthcare began debating whether AI could be trusted in medicine. - [Request a Demo](https://www.diadiahealth.com/md/request-demo): See how Diadia helps clinicians synthesize labs, symptoms, and genetic context into transparent AI reasoning for complex cases. - [Resources](https://www.diadiahealth.com/md/resources): Read the latest Diadia talks, patient resources, and technical articles. - [Clinician alignment](https://www.diadiahealth.com/md/research/functional-medicine-benchmark/clinician-alignment): How closely each model's plan matches the clinicians' plan across six areas of care, from sleep to cognitive decline. Scores run from 0 to 100, and 100 is an exact match. - [Examples](https://www.diadiahealth.com/md/research/functional-medicine-benchmark/examples): The numbers show how often frontier models make unsafe calls. These examples show what those calls look like. An independent judge flagged each one, and next to it is the patient fact that makes it dangerous. - [Functional Medicine Benchmark](https://www.diadiahealth.com/md/research/functional-medicine-benchmark): We gave Diadia and five frontier AI models the same anonymized patient records and asked each one to write a treatment plan. For every patient, a panel of practicing clinicians reviewed and signed off on a reference plan. We scored each AI plan against it on four things: did it find the same root causes, choose the same treatments, follow the clinicians' own rules, and avoid five known ways a plan can harm a patient? - [Headline results](https://www.diadiahealth.com/md/research/functional-medicine-benchmark/headline-results): Diadia against the frontier average on four measures: overall match with the clinicians' plan, root causes found, treatments chosen, and clinician rules followed. - [Methodology](https://www.diadiahealth.com/md/research/functional-medicine-benchmark/methodology): How the benchmark is measured: what the answer keys are, who the contestants are, where a language-model judge is used and where plain code does the work, and how every number on the results page is computed. - [Patient safety](https://www.diadiahealth.com/md/research/functional-medicine-benchmark/patient-safety): Five ways a treatment plan can hurt a patient: starting a treatment too early, adding one the clinicians never prescribed, leaving out one they did, getting a dose wrong, and putting steps in the wrong order. Lower is better. - [Research](https://www.diadiahealth.com/md/research): Benchmarks, audits and open methods for AI in functional medicine. We score what an AI's plan would do for a real patient, check it against practicing clinicians, and publish the method with every result. ## Resources - [The Functional Medicine Benchmark: measuring the treatment decisions of AI systems](https://www.diadiahealth.com/resources/functional-medicine-benchmark/md): Presenting a version of our internal benchmark for evaluating large language models (LLMs) on complex patient treatment tasks - [Diadia Puts Transparency to Work on Clinical AI’s Confidence Problem.](https://www.diadiahealth.com/resources/introducing-the-transparency-lab/md): 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. - [Don't Let Complex Cases Limit the Growth of Your Precision Practice](https://www.diadiahealth.com/resources/off-the-clock-off-the-pl/md): Diadia helps functional and precision practices save valuable time analyzing complex workups, giving you room to grow without adding hours or sacrificing clinical standards. - [The Problem Your AI Scribe Doesn't Solve](https://www.diadiahealth.com/resources/the-problem-your-ai-scribe-will-never-solve/md): AI scribes save clinicians valuable time on documentation, but they weren't built to analyze the multi-omic data of complex cases. Diadia was. - [Your AI Gave You a Confident Answer. One in Three Steps Behind It Aren't Proven.](https://www.diadiahealth.com/resources/your-ai-gave-you-a-confident-answer/md): Diadia evaluated 3,035 biomedical claims across four frontier AI models. The hallucinations were rare. The inference presented as proof was the larger problem. - [When 97% accuracy hides 33% uncertainty: What claim-level verification reveals about AI diagnostics](https://www.diadiahealth.com/resources/when-97-accuracy-hides-33-uncertainty-what-claim-level-verification-reveals-about-ai-diagnostics/md): New research from Diadia Health evaluating 3,000 biomedical claims across four frontier LLMs ## Legal & Privacy - [Consent to Sharing of Consumer Health Data](https://www.diadiahealth.com/md/health-data-notice) - [Consumer Health Data Privacy Notice](https://www.diadiahealth.com/md/consumer-health-privacy-notice) - [Privacy Notice](https://www.diadiahealth.com/md/privacy-notice) - [Terms of Service](https://www.diadiahealth.com/md/terms-of-service)