
Kintsugi
Clinical-grade voice biomarkers for real-time mental health detection.

The collective intelligence system for the world's medical expertise.

The Human Diagnosis Project (Human Dx) is a worldwide effort to map the world's medical knowledge by building a collaborative intelligence platform. By 2026, Human Dx has solidified its position as the foundational ground-truth layer for clinical reasoning, bridging the gap between human expertise and generative AI. The platform operates on a consensus-driven model where clinicians contribute, solve, and peer-review complex medical cases. Its technical architecture utilizes a structured knowledge graph that converts unstructured clinical observations into standardized diagnostic paths. This dataset is increasingly utilized by health systems and AI developers to benchmark Large Language Models (LLMs) against human clinical reasoning. The project is led by a 501(c)(3) nonprofit, ensuring that the collective intelligence remains a public good. Its 2026 market position focuses on 'Clinical Intelligence Validation,' providing a verified environment where medical students, residents, and attending physicians can sharpen their diagnostic skills while simultaneously contributing to a global database of medical logic that powers the next generation of safe, evidence-based healthcare AI.
The Human Diagnosis Project (Human Dx) is a worldwide effort to map the world's medical knowledge by building a collaborative intelligence platform.
Explore all tools that specialize in diagnostic simulation. This domain focus ensures Human Diagnosis Project (Human Dx) delivers optimized results for this specific requirement.
Aggregates independent diagnostic opinions from thousands of clinicians to produce a single, weighted consensus.
A daily clinical reasoning challenge delivered via push notification, mapped to standardized medical curricula.
Calculates the 'Diagnostic Differential Index' based on the breadth and accuracy of a user's differential.
Maps symptoms, findings, and diagnoses into a machine-readable graph for AI training.
A double-blind system for verifying the accuracy of submitted medical cases.
Automatically tracks and exports Continuing Medical Education credits based on participation.
Allows cases to be solved by multi-specialty teams to address complex, comorbid patients.
Create a profile at humandx.org using institutional or personal credentials.
Verify medical professional status through NPI or medical school verification for full access.
Complete the 'Introduction to Clinical Reasoning' module to understand the consensus model.
Subscribe to specific specialties (e.g., Cardiology, Neurology) to customize the Global Morning Report.
Review the 'Case Contribution' guidelines to understand anonymization and structural requirements.
Engage with the Global Morning Report by submitting initial differential diagnoses.
Compare personal reasoning against the 'Collective Intelligence' output provided after submission.
Integrate the Human Dx mobile application for on-the-go clinical practice.
Connect with institutional lead to sync Human Dx performance with residency milestones.
Utilize the 'Developer Portal' if building research integrations or LLM benchmarks.
All Set
Ready to go
Verified feedback from other users.
"Highly praised for its pedagogical value and its ability to reduce clinical isolation. Clinicians value the crowdsourced wisdom for difficult cases."
Post questions, share tips, and help other users.

Clinical-grade voice biomarkers for real-time mental health detection.

The AI Cloud for Healthcare Performance.

Precision Medical Diagnostics and Predictive Clinical Decision Support.

The Medical Guidance Platform for smart triage and automated patient intake.

Transforming brain care through AI-driven medical imaging quantification and precision neurology.

Evidence generation at the speed of thought for life sciences and healthcare.

The non-invasive gold standard for coronary artery disease diagnosis using AI and fluid dynamics.

Enterprise-grade clinical intelligence and FHIR-native predictive analytics for 2026 healthcare ecosystems.