Smartwatches are among the wearable devices that gather health data. Translating that data into useful information can be complicated and expensive. (iStock) The human body constantly generates a ...

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 ...

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 ...

Enhancing Readability of Lay Abstracts and Summaries for Urologic Oncology Literature Using Generative Artificial Intelligence: BRIDGE-AI 6 Randomized Controlled Trial We trained and tested ML systems ...

Head and neck cancers represent a biologically heterogeneous group of malignancies requiring accurate diagnosis, staging, and risk stratification for ...

Strive Health, a value-based kidney care provider, noticed many of its health IT vendors, like the provider itself, operate extensively in the value-based care space and collaborate with accountable ...

OpenAI, the maker of ChatGPT, released an open-source benchmark designed to measure the performance and safety of large language models in healthcare. The large data set, called HealthBench, goes ...

Using infrared light and machine learning, researchers have developed a method to effectively screen human health and its deviations at a population level. Envision a scenario where a single drop of ...

Health system and hospital executives see the promise of automation and artificial intelligence to customize patient outreach and help address persistent engagement challenges. AI-powered ...