Gamifying medical data labeling to advance AI

When Erik Duhaime PhD ’19 was working on his thesis in MIT’s Center for Collective Intelligence, he noticed his wife, then a medical student, spending hours studying on apps that offered flash cards and quizzes. His research had shown that, as a group, medical students could classify skin lesions more accurately than professional dermatologists; the trick was to continually measure each student’s performance on cases with known answers, throw out the opinions of people who were bad at the task, and intelligently pool the opinions of people that were good….

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