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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Overcome the Challenges of AI Implementation

Though the adoption of AI strategy is becoming commonplace in healthcare institutions, implementation is lagging. This week’s Domain Knowledge explores the challenges of AI implementation and offers a solution, an Enterprise AI Hub, to orchestrate and launch your AI strategy.

Podcast: Democratizing Healthcare AI

A democratized approach to adopting new technology may be foreign to healthcare, but this shift could have an immediate impact on the quality of patient care and health equity.

What healthcare can learn from the energy industry about catching errors

The final article in our series on cross industry learnings has us focusing on energy – specifically nuclear energy. By carefully studying these errors, as well as how similar industries manage mistakes, we can learn to prevent them in the future.

Podcast: A New Approach to Reducing Medical Error

During this podcast, Pelu Tran, CEO of Ferrum Health, explains how medical error is often just dismissed as cognitive error rather than system error.

BoneView® AI Software Immediately Available on Ferrum Health’s AI Platform for United States Healthcare Providers

BoneView is a recent addition to Ferrum’s healthcare AI Hub, which offers a revolutionary and sophisticated infrastructure with user-friendly tools to manage a suite of AI algorithms.

Podcast: Can we reduce medical error with artificial intelligence?

The most recent generation of artificial intelligence technologies is introducing a host of ethical problems to radiology practice and health care delivery. Join Dr. John Banja, a medical ethicist at Emory University’s Center for Ethics, and his guests discuss the ethical challenges that artificial intelligence presents.

PODCAST: Can AI save us from medical mistakes?

Thousands die from medical errors each year. Ferrum Health is building an AI technology platform to help doctors save lives.

Clinical AI Education Series: Oncology

On-demand educational program exploring the use of artificial intelligence (AI) in providing a population-level safety net to address medical errors and care gaps.

Future of AI in Cancer Care

What will the future of oncology look like as AI becomes more prevalent? This week’s Domain Knowledge explores ways AI will transform our approach to cancer care.

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