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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Preventing Sticker Shock in AI Radiology

This week we explore the importance of price transparency, provide an overview of how pricing in AI radiology works, and offer insights from an interview with an AI radiology business expert on the current state and future of pricing.

Everybody Gets Sued: Stakeholders and Liability Mitigation Strategies in Healthcare AI

When errors with AI tools inevitably occur, determining where the responsibility lies becomes pivotal. Radiologists are the sixth most likely to be sued amongst all medical specialties.

Beyond Image Interpretation: Impact of Natural Language Processing in Radiology

NLP is a promising technology that has the potential to revolutionize the field of radiology and streamline workflow.

Ferrum Health Spotlights Commitment to Prostate Cancer Detection and Awareness during National Prostate Cancer Awareness Month

During National Prostate Cancer Awareness Month, Ferrum Health affirms its commitment to positively impact the 1 in 8 men who will be diagnosed with prostate cancer in his lifetime.

AI in Radiology: Enhancing Patient Care or Impeding Radiologist Performance?

Artificial intelligence (AI) will change the way radiology is practiced. While AI has the potential to significantly improve patient care, there are also concerns that it may adversely alter radiologist behavior and productivity.

Ferrum Health launches as the first comprehensive imaging AI platform on Oracle Cloud Marketplace

Ferrum Health developed an Enterprise AI deployment platform to improve patient outcomes by democratizing health systems' access to the most innovative and impactful clinical AI technologies worldwide. The solution provides a private, end-to-end AI environment able to run countless applications across many service lines and seamlessly integrate clinical imaging and administrative data.

Radiologists and AI, The Perfect Duo for Early Cancer Detection

Radiologists play a key role in cancer detection and AI can be an invaluable tool in assisting with the identification of cancer in medical imaging studies.

Challenges Associated with Getting New Technology in the Hands of Patients, Part 2

As the field of AI in medicine continues to evolve, it is essential that payment models follow suit. Therefore, collaboration among stakeholders, payers, and regulatory bodies is crucial.

AI-Driven Radiomics: A Needle-Free Way to Detect Cancer

The current standard of care for cancer treatment is based on a one-size-fits-all approach, which often leads to suboptimal outcomes for patients. However, the horizon holds a potential game-changer: AI-driven radiomics.

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