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Healthcare NLP Blog

State-of-the-Art Natural Language Processing for Clinical and Biomedical Text.

Healthcare providers are increasingly required to adhere to guidelines and performance measures in order to comply with quality initiative, pay for performance, and payer standards. However, in practice many providers just...

Clinical reviewers frequently face the challenge of adapting to diverse data sources and formats. To address this issue, Evernorth has developed an innovative clinical support tool designed to facilitate rapid...

Functional and integrative medicine addresses complex, chronic health conditions by integrating vast datasets spanning genetics, microbiome analysis, metabolomics, environmental influences, and lifestyle factors. Unlike traditional medical algorithms, which are often...

Recent advancements in vision-language models (VLMs) have demonstrated remarkable capabilities across diverse domains. In this talk, we explore the effectiveness of VLMs in a transfer learning setting, where a pre-trained model...

Many important healthcare applications like matching patients to clinical trials, applying the right clinical guidelines, differential diagnosis, clinical coding, patient registries, and real-world data curation depend on understanding the full...