Health AI Developer Foundations Overview
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Developing AI for health applications can be challenging for several reasons:
- data availability is limited;
- modelling experimentation requires a lot of compute
- expert labeling is expensive; and
- the number of potential applications to tackle is vast.
Health AI Developer Foundations (HAI-DEF) turbocharges AI development for
healthcare applications with open weight models specialized for health domains.
These models can be adapted for the use-cases you care about requiring less data
and compute than traditional approaches. HAI-DEF includes rich examples of how
to use the models in the form of
Google Colab Notebooks. It also includes
libraries to streamline ingestion of processing of specialized medical data like
3D imaging and digital pathology. HAI-DEF is tightly integrated into Google
Cloud so developers can take ideas from research through to productionization on
the same platform. HAI-DEF is an evolving effort; we will continue to add new
models and resources to cover more healthcare applications.
Except as otherwise noted, the content of this page is licensed under the Creative Commons Attribution 4.0 License, and code samples are licensed under the Apache 2.0 License. For details, see the Google Developers Site Policies. Java is a registered trademark of Oracle and/or its affiliates.
Last updated 2025-02-11 UTC.
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