Clinical-grade, expert-supported natural language processing (NLP) is valuable to payers and providers when exchanging patient information through continuity-of-care documents. One of the most ...

Nonclinicians were trained to abstract the diagnosis of GBM from EHRs, and their accuracy was compared with abstraction performed by clinicians. The resulting data were used to build a cohort of ...

The data ecosystem OMNY Health has incorporated 4 billion unstructured clinical notes into its network—allowing health care, life sciences and research organizations to glean insights from previously ...

Novel Use and Value of Contrast-Enhanced Susceptibility-Weighted Imaging Morphologic and Radiomic Features in Predicting Extremity Soft Tissue Undifferentiated Pleomorphic Sarcoma Treatment Response ...

Harnessing data to improve the equity, affordability, and quality of the health care system. In association withJPMorgan Chase The application of AI to health-care data has promise to align the U.S.

Despite technology advances in electronic health records (EHRs) and the establishment of interoperability requirements by regulatory bodies, siloed patient information remains an unsolved problem ...

In an era where pandemic preparedness and the integration of artificial intelligence in medical care take center stage, the seamless accessibility of health care data from every facet of the system ...

Duncan is a board-certified family physician working as core faculty of the Medicos de El Centro Family Medicine Residency in Espanola, New Mexico. Abbasi and Augustine are first-year family medicine ...

The enterprise data landscape is undergoing a fundamental shift as the importance of unstructured data grows in parallel with the rise of generative AI and agentic workflows. Data platforms are ...

Please provide your email address to receive an email when new articles are posted on . Natural language processing analyzes unstructured text documents that providers do not have time to sort through ...