The 3 great difficulties that AI must overcome for eHealth
In this article we will see the 3 main obstacles that eHealth faces in order to exploit medical AI in the future.
In this article we will see the 3 main obstacles that eHealth faces in order to exploit medical AI in the future.
There are some areas in which the impact of implementing ICT can be more notable, even saving lives in the medium term. eHealth has become one of Gradiant’s priorities, among other things, because of the enormous potential it has and the long way to go.
During the following minute thousands of applications will request millions of people to reveal their location. However, these data are extremely sensitive, so their processing needs to be done to avoid compromise the privacy of the users.
With more than 1600 attendees and more than 90 speakers for two days, this edition had 4 simultaneous presentation tracks on technology and business around Big Data. Our colleagues Rafael Martínez and Agustín Cañas brief us some of the keytrends in Big Data and Artificial Intelligence fields.