Machine Learning can be used to Predict Peak Medical Emergency Times

Hospital admission rates have long been something that studied to prepare staff members and facilities for peak times. With machine learning, artificial...

How Machine Learning Can Revolutionize The Marijuana Industry

The marijuana industry gets affected by machine learning and artificial learning as it is revolutionizing. Machine learning is one of the diverse...

Artificial Intelligence in Medicine Gains Massive Traction with Growing Investment in AI in the...

Many industries across the globe have been disrupted by the influx of artificial intelligence (AI). And the healthcare industry is no different. The technology...

How Machine Learning is Transforming Health Policy

Machine learning is considered to be one of the forefront applications in future AI technology. It can deliver a series of solutions that can...

5 Barriers to Digital health (Part-1)

The promise of a revolution in healthcare delivery by using digital health as its army requires more than superficial changes in how humanity seeks...

Uber may be the next big Tech Company breaking into the Healthcare Market

Healthcare is a very large business, and there are so many different tech companies that are getting into the healthcare industry based off of...

Digital Health Investments have reached Record Levels

Digital Health investments are at new peak levels for 2017, and they show no signs of slowing down in the coming year. Digital health...

Will We Ever Solve The Shortage of Data in Medical Applications?

In the age of deep learning, data became an important resource to build powerful smart systems. In several fields, we already see...

Need For Future Artificial Intelligence-Based Dental Applications

As of 2017, there are more than 190,000 practicing dentists in the United States of America. In the year 2015, 84.7% of children aged...

Deep Learning Models are Predicting and Diagnosing Alzheimer’s Disease with Neuroimaging

Alzheimer's disease remains one of the most challenging diseases to recognize in its early stages. It often takes an experienced clinician to make a...