| Making use of machine learning and image processing, this team built a mobile phone app to make Chinese Medicine diagnosis and achieve the following user experience change. In this system, patients input a selfie of their faces and tongues, with their self-observed symptoms as well as their recent dieting and resting habits inputted to the system. They will receive professional diagnosis and recommended treatment, such as medicine consumption, resting schedule, and diet adjustment. They can choose either to purchase the suggested medicine online or through their local drugstore. For rural patients, the no longer need to consume expensive yet inefficient rural medicine services from one single channel and can avoid frequent medical frauds as well. For urban patients, they save time from diagnosing milder symptoms in their overcrowded hospitals; instead, they can simply receive an accurate diagnosis at office or at home as well as get medicine through efficient delivery. Also, they can use the app as a source of second opinion apart from real doctors. For doctors, given the over-demanded medical system in China, doctors’ interest will not be harmed by the app. Rather they can use the app as a fast-track basis for their further diagnosis, thus minimizing the potential human error in the process and make their workload lighter and service better. |
