In this modern era, healthcare organizations face escalating cybersecurity challenges as they transition to digital systems.

Addressing patients' health-related social needs such as housing instability, food insecurity, transportation barriers and ...

With advances in machine learning, researchers are using neural networks to predict cancer risks and guide personalized ...

Press Ganey conducts surveys, analytics and strategic advisory solutions to help health systems and health plans improve their customer experience, what the company dubs “the human experience of ...

The oncology field is experiencing a profound shift due to the rapid integration of artificial intelligence (AI) and machine ...

MultiCare announced a strategic investment in Layer Health, an AI company out of the Massachusetts Institute of Technology bringing the first comprehensive chart review algorithm to market.

“I think a big takeaway from economic-growth models is that in the long run, really, productivity is the key driver of improvements in living standards and in health,” Toner-Rodgers argued ...

Methods: A prospective health checkup cohort ... that compose it (support vector machine, decision tree C5.0, and eXtreme gradient boosting). The contributing risk factors were identified with ...

Abstract: The application of machine learning in medicine and healthcare has led to the creation of numerous diagnostic and prognostic models. However, despite their success, current approaches ...