Artificial Intelligence
The European Health and Digital Executive Agency will oversee the €5.1bn EU4Health programme.
A new MIT study found label errors that could destabilize machine learning benchmarks.
A healthcare revenue cycle management expert talks about the two technologies' impact on what can be a time-consuming and error-prone process.
Paul Black points to misplaced records priorities, innovation aimed at the provider experience, artificial intelligence's increasing role and more.
The collaboration, focused on high-performance cloud computing and artificial intelligence for healthcare and life science research, will see an IBM 1,000-plus qubit system deployed in Cleveland.
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03:58 pm |
March 24, 2021
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03:58 pm |
March 24, 2021
Red Hat's Healthcare Market Leader Atif Chaughtai discusses how to find signals in data in a clinical setting to diagnose patients earlier than a typical diagnosis takes.
In two years, the organization eliminated 517 avoidable days monthly, reduced length of stay by six hours on average per patient, and eliminated 200 hours of data collection per week.
The chief technology officer of Royal Philips provides some answers for health system CIOs and other IT leaders.
The new job posting describes collaborating with software engineers and clinicians to implement data collection strategies, among other duties.
Health systems that refuse to see themselves as engineering houses risk falling behind in their ability to properly leverage artificial intelligence and machine learning.