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AI-READI Modules

The project team is structured into several modules, each leading a key aspect. A list of the modules and links to their pages is below.

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Data Acquisition


Develop and implement a protocol that will generate a diverse and ethically-sourced dataset for the study of type 2 diabetes

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Ethical and Trustworthy Artificial Intelligence


Establishing ethical guidelines for sharing AI-ready datasets

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Plan for Enhancing Diverse Perspectives


A cross disciplinary PEDP Committee focused on better understanding and finding tangible, equitable strategies to enhance diversity in the realm of AI/ML and health.

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Skills & Workforce Development


Developing a diverse AI/ML-biomedical research workforce.

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Standards


Establishing standards for preparing and sharing AI-ready datasets

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Teaming


Applying and advancing team science while transforming our AI-READI project from a multidisciplinary endeavor into a high-performing, interdisciplinary collaboration.

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Tools


Developing tools and software for managing, curating, and sharing AI-ready datasets

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Administration


Managing the project and its resources.