Researchers successfully developed a machine learning-based method for predicting symptom deterioration in patients with cancer.

Former AANP President Stephen Ferrara, DNP, discusses how AI can be a collaborative tool to mitigate administrative burden and clinical burnout, potentially improving patient outcomes.

AI-native clinical encounter, a reimagined experience that anticipates clinicians' needs, surfaces relevant insights at the moment of care, and drafts documentation, orders, and diagnoses based on the ...

MILWAUKEE, WI, November 19, 2024 (EZ Newswire) -- As biopharmaceutical sponsors face increasing challenges in securing investigative sites for their clinical trials, the ability to reduce ...

NLP-enhanced data from over 154 million patient records facilitates innovation in real-world evidence research via the Veradigm Network CHICAGO--(BUSINESS WIRE)-- Veradigm® (OTCMKTS: MDRX), a leading ...

CES--Validic, a leader in digital health and personalized care technology, today announced the integration of physical activity data from wearables and smartwatches into electronic health record (EHR) ...

Health systems have access to an increasing amount of data across their infrastructure, yet much of the most clinically relevant information is buried in unstructured formats. This data gap leads to ...