Ferrum Team

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Ensuring Validation in AI Radiology Algorithms to Meet Growing Regulations

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.

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Exploring the Applications of Cloud Computing and Services in Radiology

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.

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Healthcare AI Algorithm Validation: Challenges and Solutions

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.

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ARA Health Specialists

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CASE STUDY

Sutter Health

Use the button below to download your free case study and learn how our approach to validation has improved the number of clinically significant findings in AI software.