Big data, machine learning, and interoperability are all topics we’ve been hearing about for many years in health tech. But in fact these banner ideas are deeply intertwined with one another. Machine ...

Researchers have developed a machine learning model capable of predicting whether a patient with depression will respond to standard antidepressant medication. By analyzing electrical activity in the ...

AI and machine learning are revolutionizing drug discovery, development, and lifecycle management, addressing industry ...

Increasing surgical services revenue is a top priority for most health systems, but reliance on manual operating room scheduling and operational inefficiencies can impede these efforts. Often, poor ...

Amazon One Medical is launching an agentic health AI assistant for use in the One Medical app. | The agent will give members a new way to interface with the One Medical app. It can answer general ...

For years, leaders in the health and tech industries have hypothesized how AI can transform the healthcare experience. While there has been some progress in clinical applications – for example, ...

If you’ve ever had a doctor order a blood test for you, chances are that they ran a complete blood count or CBC. One of the most common blood tests in the world, CBC tests are run billions of times ...

Objective This study reviewed the current state of machine learning (ML) research for the prediction of sports-related injuries. It aimed to chart the various approaches used and assess their efficacy ...

In 1854, London was struck by a devastating cholera outbreak. Public authorities responded using the best tools and scientific understanding available at the time.Disease was widely believed to spread ...