Insights

On May 6, 2024, the Office for Civil Rights at the U.S. Department of Health and Human Services (HHS) published a final rule applying section 1557 of the Affordable Care Act to healthcare algorithms. This rule mandates compliance programs to prevent algorithmic discrimination, including ongoing monitoring and risk management to ensure fairness.

The fundamental advantage of cloud computing lies in facilitating innovation, flexible resource allocation, and economies of scale. Unlike with traditional on-premises infrastructure, organizations leveraging the cloud pay for services per-use, leading to cost optimization and enhanced operational efficiency.

Validation of an AI algorithm refers to assessing its efficacy on a sample dataset after the initial training process. The use of biased data not representative of a hospital’s patient population during algorithm training and validation has been a long-standing issue and can affect the downstream performance and reliability of these applications.

Ferrum Health’s recent partnership with Oracle Cloud Marketplace showcased a huge step towards cloud deployment, combining advanced AI radiology vendors with robust public cloud infrastructure. But what does this really mean?

This week’s Domain Knowledge highlights the top 5 takeaways regarding the use of AI in radiology.

As AI reshapes the radiology landscape, it presents both new opportunities and challenges to the radiology education system. In this blog post, we'll delve into how radiology educators and trainees will be asked to adapt to the era of AI.

This week’s Domaine Knowledge has five healthcare professionals sharing why they’re thankful for the use of AI in their clinical practice.