Berkeley using a new deep learning program to assess risk of suicide amongst veterans
Identifying patterns of risk within patients often involves a massive amount of data interpretation and algorithmic examination. New computer resources through Berkeley...
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...
Machine Learning Could Help in Medicare Fraud Detection
Medicare fraud is quite, unfortunately, an ongoing epidemic according to a recent study. Machine learning has recently become a very useful tool...
Recovery Apps Helping People Live Healthier Lives
Technology is really helping to improve our everyday lives. There’s a reason why most Americans are already exploiting the benefits of artificial...
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...
New AI Toilets can Scan Poop to Detect Health Issues
Artificial Intelligence is making its way into a wide range of settings including everything from AI that is capable of learning new...
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...
Future of Medical Diagnostics Industry using AI and Deep learning
Who thought in 1950’s that AI and deep learning will make self-driving cars and impossible missions like Mission Mars almost possible. While these innovations...
How Virtual Reality is changing Medicine as we know it
When we think of virtual reality, it's often in the sphere of gaming primarily. Although the virtual reality is working to enhance the way...
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...
