Large Language Models for Accurate Medical Chart Abstraction: Enabling Scalable and Secure Artificial Intelligence Deployment in Stroke
arXiv:2610.38009v1 Announce Type: new Abstract: Medical chart abstraction transforms unstructured clinical narratives into structured variables for research and quality monitoring. We evaluated a prompting-based large language model (LLM) framework for extracting eight clinical variables from 2,416…
Read the full story at arXiv cs.CL ↗
Timeline · 1 report
- 2026-10-30 04:00 · arXiv cs.CL
Large Language Models for Accurate Medical Chart Abstraction: Enabling Scalable and Secure Artificial Intelligence Deployment in Stroke
More stories
- 8 examples of Gemini 4 Argon in action — Google Gemini Blog
- Welcome Le Chonk: Mistral Large 4 on Hugging Face — Hugging Face Blog
- How a wave of startups are betting on AI to make formal software verification practical and essential, including &Truth, which launches with a $70M seed — Techmeme
- Meta quietly launches an AI fashion app called Style Sketch — TechCrunch AI
- You can now generate, preview, and edit documents, PDFs, presentations, spreadsheets, and more directly in Gemini. — Google Gemini Blog
- ChatGPT Enterprise at Zendesk: Putting Company Data to Work — OpenAI YouTube
- Grey-Market Relay Turns Off Codex and Claude Code Sandboxes — DailyAI
- Here is my submission for ComfyUI’s Open Source Higgsfield challenge: Openjutsu, one-click character swap for videos, fully local using Minimax H3 only — r/StableDiffusion
Get the daily brief of stories like this at 6:30 every morning →