Neurologists use millisecond-level M/EEG tracking to prove the human brain and AI language models organize and predict language using parallel processing principles.

Hospitals’ AI adoption has exploded during the past decade, with predictive analytics being one of the most prevalent use cases. Predictive algorithms have become widely used due to their ability to ...

Two new advanced predictive algorithms use information about a person's health conditions and simple blood tests to accurately predict a patient's chances of having a currently undiagnosed cancer, ...

Geisinger and IBM this week announced this week that they've co-created a new predictive model to help clinicians flag sepsis risk using data from the integrated health system's electronic health ...

In Boston, where anything short of a championship is a failure, the future of sports prediction isn’t coming from instinct — but from algorithms. Dr. Robert Kissell. Kissel is the creator of ...

Introduction Sepsis is a life-threatening condition in intensive care units (ICUs), where any delay in diagnosis and treatment can lead to organ dysfunction, prolonged hospital stay and increased ...

CMS, the Office of Inspector General and other governmental agencies have ramped up their stance on healthcare fraud and abuse, estimating that roughly $4.1 billion in taxpayer money was recovered in ...