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AI in Healthcare Blog

Ideas, Risks, and Breakthroughs in Improving Healthcare with AI.

Understanding the patient journey aids designing patient-focused products and services, improving communication, and personalizing treatment plans, which ultimately improves patient outcomes and experience. For mental health life science companies, we...

This session describes benchmarks and lessons learned from building such a pilot system on data from the US Department of Veterans Affairs, a health system which serves over 9 million...

To that aim, The future of healthcare AI hinges on the convergence of three critical...

Using John Snow Lab’s Generative Healthcare models, the ClosedLoop platform enables users to retrieve cohorts using free-text prompts. Examples include: “Which patients are in the top 5% of risk for...

Key to driving data fitness for regulatory decision-making is improving the usability of unstructured notes, which are rich with clinical nuance but difficult to curate and analyze. Using the Sentinel...
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