Patientdesk Labs is the research arm of Patientdesk.ai. We build benchmarks, fine-tune models, and develop domain-specific tools so that when an AI answers the phone at a dental office, it actually works.
Dental clinic AI has unique requirements that generic models don't meet. Our research focuses on three areas where domain-specific work makes the biggest difference.
The first benchmark for evaluating LLMs as dental clinic phone agents. 483 scenarios across 10 categories, scoring empathy, clinical safety, accuracy, brevity, and tone — plus a deployment-weighted leaderboard.
Read the paper →Training smaller, specialized models to match frontier quality at a fraction of the cost. Our approach uses iterative preference optimization guided by a comprehensive behavioral specification for the dental receptionist role.
Paper coming soonAdapting speech-to-text models for dental clinic phone audio. Patient calls with accents, background noise, and dental terminology that generic models consistently get wrong — "prophylaxis" shouldn't become "prophy lax is."
Paper coming soonA dental receptionist AI has to be warm without accidentally diagnosing, efficient without being cold, and helpful without overstepping clinical boundaries. No off-the-shelf model gets this right consistently.
Eight models evaluated on 483 dental phone agent scenarios. The v2 score weights quality (80%), cost (10%), and latency (10%) to reflect real deployment constraints. Full methodology →
Read the full DentesBench paper for methodology, results, and what we've learned about the tradeoffs in dental AI.
Read the Paper Visit Patientdesk.ai