*Update: Only the livestream webcast has registration available as of July 8*
This workshop is sponsored by the National Institutes of Health (NIH) National Center for Advancing Translational Sciences (NCATS) and has been organized jointly with the National Institute of Biomedical Imaging and Bioengineering (NIBIB) and the National Cancer Institute (NCI).
We are inviting members of the extramural scientific community, government agencies, health care providers, industry and the public to share their perspectives with us on current issues associated with incorporation of machine intelligence (MI) tools into healthcare. In the context of this meeting, MI is defined as the ability of a trained computer system to provide rational, unbiased guidance to humans in such a way that achieves optimal outcomes in a range of environments and circumstances. Meeting outputs from this workshop will be used to develop a whitepaper on translating MI for clinical applications and the associated process improvement needed when implementing MI tools in healthcare environments.
We are interested in exploring current issues associated with incorporation of MI tools into healthcare. As such, we are primarily aiming to expand our knowledge in the following areas:
- How can we better stimulate data sharing and open access to training data/MI algorithm development?
- How can we identify and prevent bias in MI healthcare tools?
- How should we address quality control and use of standards?
- What tools are needed to ensure usability of MI systems in multiple environments?
- What tools are needed to evaluate MI output reliability and safety?
- What methods would allow for introduction of data updates to MI systems without altering trustworthiness of outputs?
- What lessons have already been learned?
For those unable to attend in person, the meeting will also be videocast live. Access to the videocast can be obtained by registering at the link below and selecting “videocast”.
View the Agenda and Register (In person and videocast):