AI and the Internet of Medical Things (IoMT) for Preventative Healthcare

The Problem

The market is flooded with wearable fitness and medical devices such as Apple Watch, Fitbit, Garmin and more, which consists of sensors for monitoring various user parameters like heart-rate, activity, nutrition, sleep etc. Even with these technological advances, the current outlook towards treatment is reactionary. How can technology be used to take steps to prevent a disease from manifesting?

Solution

Machine Learning models deployed on Kranium can help support preventive healthcare. Machine Learning models trained on vast amount of medical data can be used to analyse data from the sensors on fitness and medical devices and forecast health issues before they occur.

The AI capabilities on Kranium can be integrated into these devices to alert users when they have reached a threshold and need to consult with a physician to prevent health issues. The model can also make available its inferences to the doctor for an in-depth medical understanding driving higher quality care.