# MedASR: An Open-Source Model for High-Accuracy Medical Dictation

arXiv: https://arxiv.org/abs/2605.16555 · HTML: https://mlsanity.com/paper/2605.16555/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 15 May 2026.

## Built on by (most cited first, 1 of 1)

- [MedWER: A Reproducible, Model-Free Evaluation Protocol for Medical Speech Recognition](https://mlsanity.com/paper/2609.05728/) (2026)

## Abstract (arXiv)

We present MedASR, an open-source 105M-parameter model engineered for high-accuracy medical dictation. Prioritizing a "small, fast, and accurate" design, MedASR addresses 3 core pillars (1) Data: overcoming clinical corpora scarcity and class imbalance; (2) Modeling: efficient long-form training; and (3) Inference: accurate transcription via a pseudo-streaming sliding-window approach. Our evaluation shows that MedASR achieves a 58% relative WER reduction on Eye Gaze compared to Whisper Large-v3. By open-sourcing MedASR, we provide a transparent, high-performance backbone for specialized health-care applications, breaking down the barriers to clinical documentation often obscured by proprietary systems.