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February 5, 2024
Council Post: How Healthcare Clinicians And Researchers Are Using Generative AI
Summary
Generative AI is revolutionizing healthcare and life sciences, making vital data-driven advancements. Examples include speeding up cancer drug design and accelerating research with large language models. Beyond traditional machine learning and analytics, generative AI absorbs vast data, aids clinicians and researchers, and can drive our health at personal and communal levels. Applications include improving clinical documentation, enabling early disease diagnosis, personalizing treatment, assisting drug research, accelerating clinical trials, and fostering innovation. The challenges lie in data protection, data hygiene, cost maintenance, and customization of AI applications. Generative AI's impact will eventually be felt at the human level as bodies and lives benefit from the enabled advances.
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