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 ...
MENLO PARK, Calif., March 6, 2012 /PRNewswire/ -- Health Fidelity, Inc., provider of a breakthrough natural language processing (NLP) platform for healthcare, has signed a multi-year agreement to ...
In this special guest feature, Prabhod Sunkara, Co-founder and COO of nRoad, Inc., discusses how enterprises are increasingly relying on unstructured data for analytic, regulatory, and corporate ...
With digital transformation in full swing, trading desks are inundated with emails, voice calls and chat to process and analyze. Most of this data needs to be captured, tagged and stored for ...
Medical care is estimated to account for only 10-20% of healthcare outcomes. As a result, healthcare executives who wish to deliver high-quality care have to consider other elements that impact ...
In a recent article in this space, OPTUM discussed how real-world data (RWD) can be used to provide a deeper, more precise understanding of cancer progression and treatment. Now, the company takes a ...
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 ...
Development and Validation of a Prediction Model of Overall Survival in High-Risk Neuroblastoma Using Mechanistic Modeling of Metastasis In the companion to this article, Karimi et al 1 described the ...
Developers and data scientists use generative AI and large language models (LLMs) to query volumes of documents and unstructured data. Open source LLMs, including Dolly 2.0, EleutherAI Pythia, Meta AI ...
In today’s world, connectivity and interoperability reign supreme as everything from banking to shopping is moving to a seamless and intelligence-enabled experience. One industry where ...
Large language models (LLMs) such as OpenAI’s GPT-4 are the building blocks for an increasing number of AI applications. But some enterprises have been reluctant to adopt them, owing to their ...
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