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AI Evaluation in Medical Writing: Why “Looks Good” Isn’t a Validation Metric
What AI Evaluation Means for Medical Writing AI evaluation in medical writing requires more than asking whether an output “looks good.” A strong AI medical writing validation process needs explicit criteria for accuracy, consistency, traceability, and defensibility before AI-assisted content can be considered acceptable. One of the quiet challenges in AI-assisted medical writing is evaluation. Not whether AI can produce usable text but how teams decide whether that text i

Jeanette Towles
Aug 10


Tokenization: When One Word Becomes Many Problems in AI-Assisted Medical Writing
If you’ve ever watched an AI tool do a solid job drafting a section—only to cut off a table, ignore an earlier definition, or unravel at the end—you’ve probably assumed the issue was the prompt. Often, it isn’t. In many cases, the underlying issue is tokenization, a foundational machine learning concept that directly affects how generative AI processes medical and regulatory documents. Tokenization determines how text is broken down, how much context an AI model can retain,

Jeanette Towles
Feb 6
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