Guide-linked quiz · Medium Level
AI in Dermatology Quiz
Review dermatology image AI, its diagnostic-triage role, skin-tone representation challenges, image inputs, and clinical validation limits.
Question 1 of 8
What did the landmark 2017 Stanford dermatology study demonstrate?
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- What did the landmark 2017 Stanford dermatology study demonstrate?
- A neural network classified skin cancers as accurately as 21 board-certified dermatologists
- AI could perform skin surgery
- Skin cancer cannot be detected from images
- Dermatologists are always wrong
- What is a major fairness problem documented in dermatology AI?
- Models work only on cartoon images
- Many models perform worse on darker skin tones due to light-skin-dominated training data
- Models can only see in black and white
- Models refuse to analyze freckles
- What does dermoscopy add to a standard skin photograph?
- A blood pressure reading
- A 3D hologram
- Magnification and cross-polarized light revealing sub-surface pigment and vessels
- An X-ray of the bone underneath
- What spurious shortcut have dermatology models been caught learning?
- Counting the patient's freckles
- Reading the date stamp on the photo
- Detecting the camera brand
- Flagging lesions photographed next to a ruler or skin marker as malignant
- What is the 'gold standard' these models are usually validated against?
- Biopsy-confirmed diagnoses
- A patient's self-assessment
- The color of the lesion
- A coin flip
- What is the most likely near-term clinical role for dermatology AI?
- Replacing all dermatologists immediately
- Triage — helping decide which lesions need urgent specialist review or biopsy
- Prescribing antibiotics automatically
- Performing the biopsy itself
- What is the purpose of building datasets such as Fitzpatrick17k and Diverse Dermatology Images?
- To replace biopsy confirmation in clinical care
- To collect only images of light skin
- To support evaluation and training with a wider range of skin tones and reduce representation gaps
- To convert dermoscopic photographs into X-rays
- What can AI-assisted total-body photography help flag for clinician review over time?
- Changes in a patient’s blood pressure
- The presence of a bone fracture
- Whether a biopsy result is benign
- New or changing skin lesions
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