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When AI Sounds Certain: The Medical Writer's Hardest Review Problem
One of the most persistent risks in AI-assisted medical writing is not obviously incorrect content. It is content that appears confident, coherent, and professionally written while subtly distorting evidence, context, or interpretation.

Jeanette Towles
4 days ago


Acceptance Criteria Before Automation: How Regulatory Teams Should Evaluate AI-Assisted Medical Writing
An effective AI medical writing validation process begins before validation activities, testing protocols, or performance metrics are discussed.

Jeanette Towles
Aug 25


The Button Medical Writers Already Have: AI Slop, Ethics, and AI Evaluation in Medical Writing
What This Means for Medical Writers LinkedIn’s addition of a reporting option for “AI slop” is a useful signal for medical writers because it reflects a broader shift in how readers evaluate content quality. The concern is not limited to whether text was generated by AI. The more important question is whether the text is accurate, traceable, appropriately contextualized, and fit for purpose. In regulated environments, AI evaluation in medical writing is also an ethical respo

Jeanette Towles
Aug 10
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