Title: Distributed medical image analysis and diagnosis through crowd-sourced games : a malaria case study

Authors: Mavandadi, Sam

Place: [Los Angeles, CA

Publisher: University of California. The Ozcan research group

Year: 2012]

PAGE: --

Subject: mHealth in Low-Resource Settings

Keywords: malaria, experimental pathology, computer programmes, data processing, mobile telecommunication services

Abstract: Can untrained humans make a reliable medical diagnosis based on microscopic analysis? UCLA designed a digital game accessible on cell phones and personal computers to diagnose malaria. With the use of crowd-sourced gaming, the accuracy of medical experts in making medical diagnoses can be approached

URL: http://innovate.ee.ucla.edu/wp-content/uploads/2012/05/mavandadi.pdf

Document type: E-article