From the reading room

Thinking out loud about AI in radiology.

Clinical insights, machine learning notes, and regulatory thinking from the people building Verityn.

The Finding You Almost Missed

Radiologist fatigue is not a moral failing. It is a predictable consequence of volume, time pressure, and human biology. A second reader addresses it directly.

12 November 20257 min read

Dr. Amara Nkomo

CEO and Co-founder

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Machine Learning

What a Confidence Heatmap Tells You

A model that says it is 87 percent confident should be right about 87 percent of the time. Getting calibration right is harder than it sounds, and matters more than most clinical AI teams acknowledge.

3 October 20258 min read

Dr. Hannah Reyes

Principal ML Engineer

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Regulatory

Decision Support, Not Diagnosis

Regulatory posture and clinical philosophy reach the same place: every decision belongs to the clinician. This is not a caveat. It is the design.

17 September 20256 min read

Priya Shah

Head of Quality and Regulatory

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Stay informed

New posts on clinical AI, calibration, and regulatory practice are published periodically. To be notified when new pieces go out, write to hello@verityn.ai with the subject line blog updates.