by Bruce Brown | May 14, 2019 | Medical
Machine learning applications in medicine usually entail analysis and prediction. It’s easy to imagine multiple applications for AI in public health, resource allocation, disease trends, and cost containment. From a patient’s perspective, however, machine...
by Bruce Brown | May 3, 2019 | Medical
According to the CDC, one of every three patients who die in a hospital has sepsis: a result of the body’s natural defenses against infection. Each year 1.7 million adults develop sepsis and 270,000 people die from from the condition annually. The University of...
by Bruce Brown | April 3, 2019 | Medical
Chronic diseases threaten the lives of a large portion of the world’s population. Among Americans, 60% have one or more chronic diseases such as heart disease, cancer, stroke, and diabetes, according to the CDC. The CDC works with communities to promote health...
by Bruce Brown | February 18, 2019 | Enabling Tech, Medical
The benefits of artificial intelligence (AI) on global healthcare far surpass those of any conceivable sensor or individual wearable tech. AI’s influence stems from its accuracy, speed, and relatively low cost. Machine learning and neural networking by...
by Bruce Brown | January 28, 2019 | Enabling Tech
Artificial intelligence (AI), machine learning, and big data have already disrupted conventional health tech research and development in significant ways; many of our posts on Health Tech Insider mention the technology, the algorithms, and the bits and bytes....
