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Leonardo Canela's avatar

Hello David! Outstanding article, I appreciate you taking the time to share this.

"Clinical note summarization achieves 30% more accuracy than general state-of-the-art Language Model architectures, such as BART, Flan-T5, and Pegasus"

Could you kindly expand on the specific metrics employed in this context to quantify and compare accuracy?

Medical Large Language Models's avatar

Developing AI for healthcare requires a different mindset: accuracy alone isn’t enough. Models need to be interpretable, robust, and aligned with clinical workflows to create meaningful impact

andreassergeant's avatar

Do you think the use cases listed in your article move beyond the POC stage and generate ROI that can outperform the main health AI use case, which is ambient scribing?

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Apr 27
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David Talby's avatar

@Eugene Chan I appreciate the kind words! I’ve subscribed.