Tag Archives: Sepsis

Geisinger, IBM develop predictive model to identify at-risk sepsis patients

Geisinger has teamed with Big Blue to better diagnose and treat patients with sepsis, a potentially life-threatening condition, using machine learning. By leveraging de-identified electronic health record data for more than 10,500 sepsis patients, Geisinger and IBM scientists developed a model to predict mortality by identifying “descriptive and clinical features,” such as age, prior cancer… Read More »

Duke leverages AI to identify patients with early stage sepsis

Time is of the essence when it comes to detecting sepsis—the deadly condition has no clear time of onset and no clear biomarker, making it difficult to diagnose. To address the problem, the Duke Institute for Health Innovation has developed an artificial intelligence system to help clinicians identify patients in the early stages of sepsis… Read More »


Links with this icon indicate that you are leaving the CDC website. The Centers for Disease Control and Prevention (CDC) cannot attest to the accuracy of a non-federal website. Linking to a non-federal website does not constitute an endorsement by CDC or any of its employees of the sponsors or the information and products presented… Read More »