Lindvall Lab
@lindvalllab.bsky.social
Physician-Investigator, Supportive Oncology @DanaFarber
https://lindvalllab.dana-farber.org/
https://lindvalllab.dana-farber.org/
🚨Preprint🚨
Open-source LLMs outperform proprietary models in extracting clinical note sections!
📄 HPI, Interval History, Assessment/Plan
🏆 Llama 3.1 8B: F1=0.92 (internal), F1=0.85 (external)
✅ Cost-effective, private, accessible.
#AI #LLM
arxiv.org/abs/2501.14105
Open-source LLMs outperform proprietary models in extracting clinical note sections!
📄 HPI, Interval History, Assessment/Plan
🏆 Llama 3.1 8B: F1=0.92 (internal), F1=0.85 (external)
✅ Cost-effective, private, accessible.
#AI #LLM
arxiv.org/abs/2501.14105
MedSlice: Fine-Tuned Large Language Models for Secure Clinical Note Sectioning
Extracting sections from clinical notes is crucial for downstream analysis but is challenging due to variability in formatting and labor-intensive nature of manual sectioning. While proprietary large ...
arxiv.org
January 29, 2025 at 5:12 PM
🚨Preprint🚨
Open-source LLMs outperform proprietary models in extracting clinical note sections!
📄 HPI, Interval History, Assessment/Plan
🏆 Llama 3.1 8B: F1=0.92 (internal), F1=0.85 (external)
✅ Cost-effective, private, accessible.
#AI #LLM
arxiv.org/abs/2501.14105
Open-source LLMs outperform proprietary models in extracting clinical note sections!
📄 HPI, Interval History, Assessment/Plan
🏆 Llama 3.1 8B: F1=0.92 (internal), F1=0.85 (external)
✅ Cost-effective, private, accessible.
#AI #LLM
arxiv.org/abs/2501.14105