Training better eyes for every skin tone.
Dermatordle is a clinical pattern recognition game designed to help learners practice diagnosing dermatologic disease across diverse skin tones, where visual findings can look different and are often underrepresented in training materials.
The problem
Visual diagnosis depends on what learners repeatedly see.
Dermatology is pattern recognition. But many learners train on image sets that overrepresent lighter skin, which can make common findings harder to identify in patients with darker skin tones.
Erythema may appear violaceous, brown, gray, or muted. Scale, pigment change, follicular inflammation, and scarring may become the most important clues. Dermatordle is built around practicing those differences deliberately.
The approach
One case, one pattern, one useful comparison.
Each daily challenge starts with a Skin of Color presentation, then adds progressive clinical clues. After several attempts, a comparison image unlocks so learners can connect the same diagnosis across different skin tones.
Build a differential from the image and progressive clues.
Connect the same disease across different skin tones.
Separate the target pattern from close visual mimics.
The second phase turns the case from simple recall into visual discrimination by asking learners to identify the same condition among look-alike images.
A focused tool with room to grow.
Medical students building diagnostic pattern recognition.
Faculty reviewing clinical reasoning and image selection.
Future study of diagnostic accuracy and learning over time.