Fine-tuned LLMs like Llama predict mRS scores from admission notes alone. Achieves 33.9% exact 90-day accuracy and 76.3% binary, matching structured baselines. Enables seamless clinical integration without data extraction.
Key Points
- 1.33.9% 90-day exact mRS
- 2.From raw H&P notes
- 3.Comparable to NIHSS models
Impact Analysis
Streamlines prognosis in stroke care, reducing manual input for better decisions.
Technical Details
Fine-tuned on 9,485 discharge/1,898 90-day notes; temporal split testing.