Baseten worked with a leading dental note‑taking company to create a purpose‑built language model that writes structured dental notes from up to 25,000‑token transcripts. The model learned three tasks – full note generation, real‑time addition of findings, and note alteration – using a single LoRA adapter. In tests it matched Gemini 2.5‑pro’s accuracy but was 5‑6 times faster, and achieved 90% accuracy on tooth‑notation checks.
Why it matters
Dentists can get accurate, real‑time documentation without the lag of larger, slower models, freeing time for patient care.
