New study suggests that the Epic Sepsis Model may only identify some high-risk patients after sepsis is clinically recognized, rather than before infection onset. -

Novel deep learning model leverages metabolic biomarkers to predict the likelihood that Alzheimer's disease will develop long before clinical symptom onset. -

Provider organizations play a key role in suicide prevention, and one health system shows how effective risk stratification can drive these efforts. -

New Center for Connected Medicine report highlights that oversight of artificial intelligence tools is of growing interest to healthcare executives. -

The eXtended-Reality Artificially Intelligent Ally combines generative AI and virtual reality to provide patients with self-administered, conversational therapy. -

University of California San Diego researchers argue that healthcare AI regulations should require developers to demonstrate how these tools impact patient outcomes. -

Predictive analytics can enhance healthcare by supporting clinical decision-making, guiding population health management, and advancing value-based care. -

Clinical decision support tools can provide actionable information, but issues like alarm fatigue can increase clinician burnout. -

New Deloitte survey suggests that healthcare leaders must focus on data, governance, consumers, and the workforce to successfully implement generative AI. -

Researchers leveraging a machine learning-based “fragmentomics” approach may be able to detect cancer sooner using smaller blood samples than traditional methods. -

UC San Diego Health’s artificial intelligence tool to predict sepsis infection risk in emergency department patients has reduced mortality by 17 percent. -

Research findings from Cleveland Clinic and IBM demonstrated how AI models can better show how immune systems recognize threats, which may improve immunotherapies. -

A machine learning model outperformed standard tools for predicting death and other serious complications in patients undergoing percutaneous coronary intervention. -

Cedars-Sinai’s Molecular Twin Precision Oncology Platform has outperformed the only FDA-approved test to predict pancreatic cancer survival. -

New guidance from the World Health Organization outlines how stakeholders can ensure the appropriate use of large multi-modal AI models in healthcare. -