Machine Learning
Three startups recently were named to participate in a 24-week Quantum Innovation Catalyzer Program. The companies will connect with Cleveland Clinic experts and working groups to learn and share best practices and new applications.
Over the next five years, hospitals and health systems will need to make greater use of artificial intelligence (AI) and patient data to glean valuable insights that can help them differentiate their services, according to AHA’s recently released Futurescan 2023.
With the recent launch of AWS Omics, Amazon Web Services is using artificial intelligence, machine learning and other AWS and partner products and services to speed the translation of this data into actionable intelligence.
Mayo Clinic and Mercy will take advantage of advances in artificial intelligence, machine learning and secure cloud-based environments that help researchers make better use of aggregated data, as well as their immense volumes of de-identified data collected over the years, to partner on finding…
A new study indicates that social factors, when built into sepsis readmission models, can help predict which patients are at risk of an unplanned readmission within 30 days.
Walmart recently partnered with Health at Scale, a company that uses predictive artificial intelligence to direct patients to providers who match their specific health needs.
Carbon Health, a San Francisco-based startup founded in 2015, has a simple but audacious goal: to become the largest provider of primary care services in the U.S. Whether it ever approaches that goal, there’s no question that the omnichannel provider is attracting investors’ attention with its…
How artificial intelligence can be used to address health care-associated infections. Learn more about patient surveillance in this AHA Transformation Talks video.
Enthusiasm for and adoption of commercial artificial intelligence (AI) tools to aid clinical decision-making and patient care have been accelerating at a rapid pace. A new study, though, cautions that critical information often is missing from the Food and Drug Administration (FDA) clearance…
As artificial intelligence (AI) and machine learning (ML) continue expanding into health care, its full potential remains unknown.