README.md

metadata

license: apache-2.0
language:
  - en
pretty_name: Dental AI for Clinical Decision Support
base_model:
  - openai/gpt-oss-20b
library_name: transformers
pipeline_tag: text-generation
tags:
  - structured treatment planning
  - structured output
  - supervised fine tuning
  - sft
  - dental
  - dentistry
  - dental ai
  - clinical decision support
  - diagnosis
  - treatment planning
  - evidence based
  - endodontics
  - periodontics
  - oral surgery
  - prosthodontics
  - orthodontics
  - pediatric dentistry
  - differential diagnosis
  - risk assessment
  - triage
  - chairside assistant
  - point of care
  - healthcare
  - clinical reasoning
  - synthetic data
datasets:
  - Wildstash/dental-2.5k-instruct
model-index:
  - name: Wildstash/dental-ai-clinical-decision-support
    results:
      - task:
          type: text-generation
          name: Dental clinical QA (internal heuristic)
        dataset:
          name: Wildstash/dental-2.5k-instruct
          type: Wildstash/dental-2.5k-instruct
          split: test
        metrics:
          - type: clinical_guideline_adherence
            value: 0.9
widget:
  - text: >-
      Emergency: severe tooth pain, swelling, fever 101°F. Provide differential,
      immediate care, antibiotics, follow up.
    parameters:
      max_new_tokens: 400
      temperature: 0.7
  - text: >-
      Generalized periodontitis with 6–8 mm pockets. Stage/grade and phased
      treatment plan.
    parameters:
      max_new_tokens: 350
      temperature: 0.7

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.