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GIVE mHealth "AI in Mobile Health" focuses on the unmet need in remote healthcare sectors and the mechanism that makes it possible for doctors to sift through diagnoses of patients in remote areas and evaluate itemized illnesses and diseases diagnosis to the doctor's hands and provide direct assistance. 

Publications from GIVE mHealth Leadership & Steering Committee

The GIVE mHealth diverse AI fills the gap for information on non-biased healthcare data. The AI enables patients, doctors, and out-care health professionals to have mobile means of fully interactive healthcare. Here are some of the publications from our leadership and Steering Committee.

Prototype-based methods use interpretable representations to address the black-box nature of deep learning models, in contrast to post-hoc explanation methods that only approximate such models.

Having insight into the causal associations in a complex system facilitates decision making, e.g., for medical treatments, urban infrastructure improvements or financial investments. 

We live in a world that is changing very rapidly. Emerging technology, such as artificial intelligence (AI) and machine learning, is evolving very quickly and impacting how we work and live.

Thanks to daily advances in healthcare technology, people are living longer and longer. As a nation, we're nearing a historic first: It is predicted by the year 2034 that there will be more people over the age of 65 than people under the age of 18.

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