Help training A.I. while making clinic diagnosis
Dr. Skin: A.I. skin illness diagnosis
Tagging app for A.I. training
A platform for skin doctors to help training A.I. while making clinical diagnoses and records
About
Dr Skin is a project aiming to make A.I. diagnose skin illness with photos through image recognition. To achieve the goal, we need to collect corresponding skin illness images and data. The clinic doctor version is an app to motivate doctors to help. Doctors can join by opening an account via an invitation link. They can use the digitalized diagnosis process to meet both clinic documentation and A.I. training requirements. They can also submit the diagnosis for professional review, check the accumulated points for approval cases submission, and exchange the points for cash in the app.
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In 2019, the company successfully trained the image recognition for Eczema in babies and kids, and the digital diagnosis was available on partners' platforms.
Role
UX design
Storyboard
Wireframe
UI Design
Interaction
Motion
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Process
The tagging flow should be direct, clean and initiative
The hardest part was to translate traditional symptom recordings to A.I. learnable data. Since the hierarchy of diagnosis for the A.I. training was heavy, a lot of effort had been put in to make it smoother in the tagging process. Diagram select method and some automatic transactions were added accordingly.
