Your Personal healthcare Companion
BayMax will both alert physicians to high-risk patients, while making the doctors' analysis much more efficient; overall, saving people, while decreasing costs and time.
BayMax will help augment doctors around the world, making their jobs easier by allowing for easy and convenient medical analysis within a home. By allowing scheduled analysis without the use of personnel, it is capable of identifying medical anomalies before they occur, and alerting doctors. This scalable method of providing analysis comparable to medical personnel, and detecting anomalies before they pose a large threat, holds the ability to create clinical impact around the world by profoundly increasing access and scope of medical care.
By utilizing Neural Networks (NNs), BayMax can detect diseases and conditions, automatically, using end-to-end deep learning. It does so with an extremely high accuracy rate, relative to trained doctors. The Deep NN (DNN) algorithm can identify various diseases, along with providing treatment advice. Biometric values such as oxygen saturation and electrocardiogram (ECG) values are calculated using a Recurrent NN (RNN), developed to detect anomalies: myocardial arrhythmias and ischemias. A RNN also conducts analysis to identify cognitive decline. A Convolutional NN (CNN) is on the device to identify and segment dermatological lesions. These algorithms run on a Raspberry Pi processor. This device can augment doctors by speeding up the time needed for diagnosis by pre-analyzing the user and providing estimated conditions. This scalable method of detecting anomalies before they pose a threat, holds the ability to create clinical impact around the world by profoundly increasing access and scope of medical care.