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 ...

Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered considerable interest among researchers. The debate around the use of machine ...

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, ...

This week on “Podnosis,” we explore the pressing questions surrounding AI’s role in healthcare. From clinician trust to algorithm accuracy and patient privacy, there’s significant uncertainty about AI ...

Machine learning can predict many things, but can it predict who will develop schizophrenia years before the average diagnosis time?

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 ...

As artificial intelligence continues to reshape healthcare, rural providers face a tough reality: limited infrastructure, staffing shortages, tight budgets, and often, a lack of in-house tech ...

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 ...

Researchers have used Fitbit data to train a machine learning algorithm to accurately predict mood swings associated with bipolar disorder. It opens the door to using a personalized algorithm to drive ...

Forbes contributors publish independent expert analyses and insights. Writes about the future of finance and technology, follow for more. We live in a world where machines can understand speech, ...