DHS and DARPA are using AI to address public health concerns.
Successful AI and machine-learning capacities within health systems require a foundational attention to data quality and the broader care environment.
Data-mining techniques will allow health researchers to sharpen COVID-19 literature and clinical trial database search results.
Leaders from health agencies across government are progressing in applications for the technology.
Federal agencies can harness the power of their data with the right strategies.
A GAO report highlights policy areas as the FDA considers regulatory rules around the technology.
Helping researchers answer most pressing questions in health advancements with machine-learning.
The agency is creating datasets to foster artificial intelligence development through private-public partnerships.
The CIO pitches a strategy to uniformly modernize an otherwise federated and globally dispersed agency.
The agency aims to explore the value of artificial intelligence in clinical applications.
IT leaders recommend identifying use cases to apply the technology.
Automation processes first need a solid foundation for the management of data.
VA representatives emphasized private-public partnerships and tying research initiatives to improving business lines.
The emerging technologies can predict, anticipate and protect against dangerous chemicals in the U.S. food supply.
Among Jose Arrieta's initiatives as new CIO include engaging with industry partners and testing advanced technology.
Various agencies are finding success in early use cases for AI, machine learning and RPA.
The VA enterprise cloud streamlines agency services and fosters advances in big data analysis and machine learning.
Emerging technologies and regional hubs are part of the solution to increase efficiencies in background investigations.
DHA and GSA executives provide updates and insights on federal agency IT modernization projects and training.