Medical Training AIDermoscopic Pattern Recognition
You'll be able to apply a structured dermoscopic algorithm to distinguish melanoma, basal cell carcinoma, squamous cell carcinoma, and benign lesions from surface pattern features.
What this track covers
This track covers dermoscopic evaluation of pigmented and non-pigmented skin lesions, from device setup and lighting to structured pattern analysis. It emphasizes the two-step algorithm, pattern and color analysis, and correlation between dermoscopic findings and underlying histopathology to support more consistent lesion triage decisions.
What you will practice
- Apply the two-step dermoscopic algorithm to classify a lesion as melanocytic or non-melanocytic
- Identify asymmetry, border, color, and structural features consistent with the ABCD approach
- Differentiate reticular, globular, and starburst patterns in pigmented lesions
- Recognize dermoscopic clues suggestive of BCC versus SCC versus benign keratinocytic lesions
- Correlate dermoscopic structures with expected histopathologic findings
Simulator scenario
A patient presents with a new, asymmetric pigmented lesion on the back, and the clinician must apply dermoscopic pattern analysis under time pressure to decide between reassurance, monitoring, or biopsy referral.
Board question topics
- Two-step dermoscopic algorithm application
- Pattern recognition in melanocytic lesions
- Dermoscopic features of non-melanocytic skin cancers
- Dermoscopy-to-histopathology correlation
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The tutor only answers from licensed sources (FDA prescribing information, public guidelines and our own material) and says when it has none. Educational use only, never patient-specific advice.
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