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Blog

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.

Blog

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.

Blog

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.

AI Workflow

An Emerging Utility of AI Radiology: Workflow Optimization

In this blog post, we will explore how AI radiology services address burnout issues by optimizing workflow, improving image quality, and helping reduce the burden on radiologists. We will highlight current tools, such as AIR Recon DL and Rad AI Nexus, to illustrate how they contribute to workload optimization.

AI Workflow

AI Matchmaking in Mammography: A Radiologist’s Guide to Quality and Safety

Having discussed how quality can be defined for your institution, in this blog post, we’ll delve into how various stakeholders design quality and safety standards for the industry. We’ll aslo look at how to ensure that you, as a radiologist, are equipped with the knowledge and tools necessary to provide the highest standard of patient care amidst the challenges and opportunities presented by the emergence and adoption of AI in breast imaging.

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CASE STUDY

ARA Health Specialists

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.

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.