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Large language models have revolutionized the field of Natural Language Processing (NLP) and are increasingly being applied in various industries, including healthcare. These models have the potential to greatly improve the efficiency and accuracy of medical data analysis, diagnostics, and treatment. However, their use also brings up a number of ethical and privacy concerns that must be addressed.
This presentation will explore both the promise and perils of using large language models in healthcare. We will discuss the various applications of NLP in healthcare, including medical documentation, sentiment analysis, disease diagnosis, and medical data analysis, and the ways in which large language models are enabling these applications. At the same time, we will also address the potential risks associated with using these models, including data privacy and ethical considerations.
Presented by Morteza Noshad, Senior NLP Scientist at Vida
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