Models
We explore healthcare-specific AI capabilities, architectures and applications.
HAIHQ / About
Building open foundations for Health AI.
HAIHQ is a nonprofit, open-source research organization focused on models, benchmarks and technical infrastructure for Health AI.
Why HAIHQ Exists
AI is advancing quickly, but healthcare introduces its own technical problems.
Healthcare systems have specialized data structures, terminology, workflows, interoperability requirements, safety constraints and operational realities.
AI systems operating in healthcare also need reliable ways to access current state, use tools, interact with existing systems and remain correct as the environment changes around them.
Those problems need dedicated research and infrastructure.
HAIHQ exists to work on them.
What We Build
Benchmarks
We develop ways to measure how Health AI systems behave beyond simple static tests.
Tooling
We build open infrastructure for healthcare data, interoperability, evaluation and the systems that AI models and agents rely on.
How We Work
HAIHQ is driven by building and experimentation.
A project may produce:
- software
- a benchmark
- a model
- a dataset
- a specification
- a technical report
- a research paper
The goal is to leave behind useful artifacts others can inspect, reproduce and build on.
Principles
Open by default.
Research becomes more valuable when others can inspect and extend it.
Measure before claiming progress.
Health AI systems should be evaluated against clearly defined capabilities and failure modes.
Build to understand.
Working systems reveal problems theory alone may miss.
Healthcare deserves healthcare-specific research.
General AI is not enough to solve every healthcare problem.
Infrastructure matters.
Progress depends on more than models.
Long-Term Direction
HAIHQ aims to become a home for serious open research and infrastructure in Health AI.
Our role is simple:
Research important problems, build useful systems, evaluate them rigorously, and make the work open.