Large language models (LLM’s) unlock new use cases in healthcare NLP. John Snow Labs has launched new Healthcare NLP models for accurate and production-ready healthcare use cases.
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?
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
https://open.substack.com/pub/againstgrain/p/is-wall-street-undervaluing-medtech?utm_source=share&utm_medium=android&shareImageVariant=overlay&r=7377r4
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?
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