Discover how AI healthcare technology and machine learning diagnosis are transforming disease detection, improving accuracy, and reshaping patient care in today's evolving medical landscape.

As demand for medical care continues to grow, artificial intelligence is becoming the front door to healthcare as AI assistants are available instantly and translate medical terminology into plain | ...

Fierce Healthcare's Fierce 15 is one of our favorite projects each year. | The Fierce Healthcare team breaks down the Fierce 15 of 2026, highlighting the companies using AI, new business models and ...

A machine-learning model developed by Weill Cornell Medicine investigators may provide clinicians with an early warning of a ...

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 ...

The Operationalization Gap. It’s the chasm between innovation and everyday practice that is a challenge for all large organizations. Hospital executives will likely not be surprised to learn that the ...

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 ...

Metabolite data and AI combine to redefine how we measure aging and predict health spans. Study: Metabolomic age (MileAge) predicts health and life span: A comparison of multiple machine learning ...

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 ...