AI security risk is now a CEO- and board-level issue. Mark Watts outlines 12 AI risk domains healthcare executives must assign clear ownership for.
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The year 2026 finds the radiology department at a critical juncture. As a radiology professional, I have witnessed firsthand how the sheer velocity of imaging demand threatens to outpace the human capacity for nuanced interpretation.
We are a species obsessed with measuring the wrong things. In the annals of evolutionary cognition, Frans de Waal recounts a frequent absurdity: a squirrel failing a human-designed counting test.
A radiologist’s two-word answer — “culture and ownership” — explains why AI and innovation in medical imaging transform some health systems and stall in others.
For the radiology director, the challenge of the current decade is not merely the adoption of technology, but the stewardship of its integrity.
If a health system applies AI to accelerate patient access but provides the same care delivery model built upon perverse incentives, you’ll accelerate all the broken consequences after that. More patients seen, same suboptimal outcomes.
We are leading different teams and must recognize the needs of progressing at the rate of artificial intelligence.
Infusion pumps sit in a special place in healthcare. They are everywhere, they touch medication delivery, and they run quietly in the background while clinicians focus on the patient.
I wrote my first article for Imaging Community Exchange (ICE) Magazine, “Will AI Replace Radiologist” for the January 1, 2020, issue.
Artificial intelligence (AI) is in healthcare systems and there has been a recent change to the post-deployment requirement from the FDA. My goal is to raise awareness of the requirements and help define roles for responsibility.
