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.
