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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?

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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

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