Intervention Insights' new platform, Trapelo, was designed to resolve the complexities of precision medicine in real time.
A fast-growing company known for its virtual reality surgical training program has expanded into the European market.
The company said that it will integrate its Edison platform with the American College of Radiology, Artificial Intelligence-Lab.
The best deep-learning algorithm studied by Roche and Genentech scientists was up to 97% accurate in detecting diabetic macular edema (DME) severity using color fundus photos alone.
University of Nottingham researchers developed a system of machine learning algorithms to predict the risk of early death due to chronic disease in a large middle-aged population.
The Cuff to Cloud experience will instantly and effortlessly upload readings to the company’s database, which will then deliver a real-time and personalized message to its members.
Harvard Researchers have shed light on the liver and kidneys after toxin exposure, using machine learning.
The ECRI Institute identified these issues as the biggest patient safety concerns in 2019. Can medtech help tackle them?
University of Gothenburg researchers were able to use artificial intelligence and conventional statistical methods to identify the most important indicators of elevated risk for cardiovascular disease and death.
Yann Fleureau, co-founder and CEO of Cardiologs, weighs in on why 2019 will be known as the year of validation for artificial intelligence.
Iota Biosciences has raised about $15 million in a series A round to help further develop its millimeter-sized neural dust platform.
In addition to J&J picking up Auris Health for $3.4 billion, Roger Smith, Phd, who follows the surgical robotics market closely, said we could continue to see large medtech companies making acquisitions in the space.