Insights

Foundational Theory vs. Clinical Reality: Governing Clinical AI in 2026

Health systems are now being asked to innovate while simultaneously managing risk, accountability, and patient safety, often without a single, unified playbook.

White Paper--Beyond the Algorithm: Ensuring Clinical Validity at Scale

Most health systems lack the technical infrastructure to generate continuous evidence of AI performance. Instead, they rely on episodic, manual validation that fails to capture real-world shifts in data.

Foundation Models in Healthcare: What You Need to Know

They are rapidly gaining traction in healthcare for their ability to streamline clinical, operational, and patient-facing tasks.

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RSNA 2022: AI Highlights

The Ferrum Health team was on the ground at RSNA, taking customers on an AI Partner Tour and hosting an AI roundtable discussion with radiology experts. The week’s Domain Knowledge shares AI highlights from RSNA 2022.

Gratitude for the Benefits of AI in Healthcare and Our Everyday Life

This week’s Domain Knowledge is a little bit different; the Ferrum Team is thankful for the opportunity to be part of the growing healthcare AI ecosystem.

Healthcare Diversity, Equity, and Inclusion as Seen Through the AI Lens

AI has been used in the early detection of cancer, to manage scheduling and hospital efficiency and as a way to foster equity in healthcare. This week’s Domain Knowledge explores ways AI is being used to drive health equity.

AI Tools Support Lung Cancer Diagnosis

November is lung cancer awareness month and this week’s Domain Knowledge reviews AI tools used in the detection of lung cancer.

AI Tools Used in the Detection of Breast Cancer

When breast cancer is detected early, before it has had the opportunity to spread to the lymph nodes or other parts of the body, the 5-year survival rate is much higher. This week’s Domain Knowledge reviews AI tools used in the early detection of breast cancer.

What Experts are Saying About the Use of AI in Breast Screening

How do we address the burden of breast cancer? What tools and technology are available to support breast screening and early diagnosis? The use of artificial intelligence (AI) is rapidly becoming the norm in breast cancer screening. This week’s Domain Knowledge explores what the experts are saying about the use of AI in breast imaging.

Can AI Improve Breast Cancer Diagnosis?

October is breast cancer awareness month and the perfect opportunity to explore the use of artificial intelligence (AI) in diagnosing breast cancer. When breast cancer is diagnosed at an early stage, patients have a 93 percent or higher survival rate in the first five years. This week’s Domain Knowledge addresses the question… Can AI improve breast cancer diagnosis?

Leveraging Artificial Intelligence to Enhance Peer Review: Missed Liver Lesions on Computed Tomography Pulmonary Angiography

Peer review is one of the main mechanisms of ensuring quality and safety in diagnostic radiology, typically performed via periodic random sampling of a small percentage of a radiologist’s interpreted examinations for blinded secondary review for agreement or disagreement. Artificial intelligence may find a valuable product-market fit when used as a second reader in a well-structured quality assurance program.

AI and Ultrasound: A Needed Combination in Breast Cancer Screening

This week’s Domain Knowledge looks at the role of artificial intelligence (AI) and ultrasound in early breast cancer detection.

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