Clinical Reasoning Education

With 12 Cavities — 5yo, Mother Says Child Brushes Twice Daily

Clinical reasoning simulation for healthcare students and educators

Pediatrics Intermediate Dentistry

Practice This Case

Work through the full clinical encounter with AI patient and attending. Free, no signup required.

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About This Case

This clinical reasoning case presents a patient with 5yo with 12 cavities / mother says child brushes twice daily / pattern inconsistent in a pediatrics context. Learners work through a structured 10-phase simulation covering initial differential, history-taking, physical examination, labs and imaging, and management planning.

"A 5-year-old presents with 12 carious lesions including multiple abscesses in baby teeth. The mother says the child brushes twice daily and the family drinks fluoridated water. The caries pattern is severe and generalized. The child has bruising on both shins and one upper arm. What do you assess and what is your mandatory reporting obligation?"

How the Simulation Works

  1. Read the patient presentation and form your initial differential diagnosis
  2. Interview the AI patient to gather history and explore your hypotheses
  3. Perform a focused physical examination based on your differential
  4. Order appropriate labs and imaging, then interpret the results
  5. Revise your diagnosis and develop a management plan
  6. Receive personalized teaching feedback from your AI attending, Dr. Patel

What You'll Learn

This case builds skills in systematic clinical reasoning, hypothesis-driven history-taking, appropriate test ordering, and evidence-based management. It is designed for Dentistry students and practicing clinicians seeking to sharpen diagnostic thinking in pediatrics.

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About ReasonDx

ReasonDx is an AI-powered clinical reasoning education platform developed by Dr. Lauren Fine, MD, FAAAAI, Associate Professor and Assistant Dean of Clinical Skills Education at NSU Dr. Kiran C. Patel College of Allopathic Medicine. The platform features 394 simulation cases across 10 health professions, designed to train the cognitive processes underlying accurate diagnosis.