Health and tech experts address how data processes are creating new efficiencies in the federal health sector.
The agency’s AI efforts are progressing to include new capabilities in image search using machine-learning and automation.
Predictive analytics with machine learning capabilities can get ahead of the curb in fraud and waste prevention.
The Joint Pathology Center's effort to upload 55 million samples of tissues could pave new opportunities in medical research and patient care.
The pandemic accelerated various IT modernization efforts across the agency, with a heavy emphasis on security.
Artificial intelligence, facial recognition and machine learning could streamline and accelerate technology amid the pandemic.
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.