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OpenLearning

Advanced AI Training for Dentists & Dental Students

via OpenLearning

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Overview

Syllabus

  • Apply AI tools across dental diagnostics, treatment planning, practice management, ethics, and specialist practice using structured clinical verification frameworks while maintaining patient safety and professional accountability.
  • Evaluate AI-generated dental radiograph and CBCT findings using the VALID override protocol, interpreting performance metrics to distinguish reliable detections from artefact-driven errors.
  • Apply the TRACE-D framework to critically assess AI-generated treatment proposals across smile design, clear aligner therapy, and implant planning before clinical implementation.
  • Analyse dental practice AI tools for scheduling, billing, and clinical documentation using the SAFE-D vendor evaluation framework, ensuring compliance with data sovereignty and insurance regulations.
  • Implement the four-element AI consent and documentation standard in dental practice, and apply evidence-based communication strategies when patients present with consumer AI-generated diagnoses.
  • Evaluate AI applications across orthodontics, oral surgery, periodontics, and paediatric dentistry, identifying specialty-specific failure modes and accountability requirements in AI-assisted referral pathways.
  • Integrate the VALID, TRACE-D, SAFE-D, and four-element consent frameworks in a simulated multi-encounter dental practice scenario to demonstrate safe, defensible AI-assisted clinical decision-making.
  • Design a personal AI career readiness plan by applying all four clinical frameworks, navigating graduate AI traps, and preparing evidence-based responses for AI-related interview and placement scenarios.

Taught by

Ravikumar pasupuleti

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