What if AI models in health care autocorrected to maintain peak model and clinician performance?
PRECISE-AI (Performance and Reliability Evaluation for Continuous Modifications and Useability of Artificial Intelligence)
The Performance and Reliability Evaluation for Continuous Modifications and Useability of Artificial Intelligence (PRECISE-AI) program aims to develop capabilities that can automatically detect and mitigate AI model degradation. These tools will monitor the performance of clinical AI models, identify if a degradation has occurred, and provide capabilities that can correct for performance degradations without the need for human oversight, thereby reducing the burden on individual operators. Importantly, this technology will also communicate clear and actionable information about the sources of degradation and allow users to better interpret model uncertainty, and thus help them use their software more effectively.
Program Manager: Dr. Berkman Sahiner
Learn more at: https://arpa-h.gov/research-and-fundi...