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