Abiram Sandralegar

Human-Level Extraction of Modified Rankin Scale Scores from Real-World Neurosurgical Clinical Notes Using a Locally Deployed, Quantized Large Language Model

The computationally optimized LLM demonstrated human-level classification reliability without task-specific fine-tuning and successfully addresses key patient data privacy barriers and the formatting inconsistencies typical of open-ended generative models.