AI is making strides in cardiology, helping to enable quicker assessment & treatment of strokes, faster nuclear imaging & diagnostic radiology, and earlier detection & monitoring of heart disease.
Recent research clearly illustrates the potential that artificial intelligence (AI) and deep learning systems offer for improving the detection and diagnosis of cancer, whether from radiological images or tissue analysis. While further clinical validation of such systems is needed before they can be reliably deployed in medical practice, they are expected to benefit patient care...
A recent survey published in the Journal of the American Medical Association (JAMA) reported that the medical marketing spend in the United States rose from approximately $17.7 billion in 1997 to just under $30 billion in 2016. The biggest growth came from Direct-to-Consumer (DTC) marketing, which increased from 11.9% to 32% of the total spend....
We recently wrote about the growing use of machine learning and artificial intelligence (AI) in healthcare. That blog post talked primarily about the expanding applications of AI in clinical diagnostics, based on AI’s superior abilities in pattern recognition. Within the pharmaceutical industry, however, machine learning technologies hold the most potential for revolutionizing drug discovery and...
Air traffic control-like, multiple screen “command centers,” are proving to be very effective tools for a small handful of busy hospitals to improve workflow efficiency, reduce wait times, allocate resources, and better orchestrate complex patient care and treatment. The new systems combine artificial and human intelligence to analyze real-time data from machines, devices and electronic...
“Deep learning” is an advanced machine learning technology that enables the generation of relevant insights from enormous amounts of data. Computers are able to identify complex patterns in data from many disparate sources and generate algorithms to explain them. This allows a computer to simultaneously create and test original hypotheses with much greater speed and...
Applications of artificial intelligence (AI) to health care took a major step forward with two noteworthy events in February in the cardiovascular space. In the first case, the U.S. Food and Drug Administration (FDA) approved the marketing of a clinical decision support tool designed to flag signs of a stroke on computed tomography (CT)...