Dental AI for Clinical Decision Support

Chat assistant for structured treatment planning and clinical decision support (SFT)

Open source model for evidence‑based dental decision support and chairside guidance.

🏆 Awards

• Winner: Most Useful Fine‑Tune (OpenAI Open Model Hackathon) — see Devpost: https://devpost.com/software/dental-assessment-gpt

Structured output

• Differential diagnosis
• Management plan
• Antibiotics and dosing (if indicated)
• Follow-up protocol

Quick guide (read this)

• What it is: Chat assistant for structured treatment planning and clinical decision support (SFT).
• What it covers: endodontics, periodontics, oral surgery, prosthodontics, ortho, pediatrics.
• Why trust it: trained on 2,494 expert‑validated synthetic cases; guideline‑aligned.
• How to use: provide patient context (age, vitals, symptoms, exam); ask for differential, management, abx, follow‑up.
• Safety: HIPAA‑friendly (no real patient data); outputs assist, not replace, clinical judgment.

Dataset statistics

• 2,494 cases; multi‑specialty coverage; structured JSON (presentation → assessment → plan).
• Source: Wildstash/dental-2.5k-instruct.

Key features

• Comprehensive dental coverage; evidence‑based plans; guideline adherence; step‑wise reasoning.

Training details

• Method: LoRA (PEFT), 4‑bit; base: 20B decoder.
• Optimizations: grad checkpointing; mixed precision; multi‑GPU.

Expert validation

• Practicing dentists graded sample cases; refined to improve plausibility and completeness.