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Less than 5% of medical large language models are trained on real-world healthcare data, leaving many models at risk of being biased or learning from inaccurate data. Our experts recently shared why data quality and interoperability must be a part of developing and applying AI models in healthcare, in their white paper "AI in Healthcare: Core Principles, Real Impact, and What’s Next." Tune into Data Talks for an AI-powered breakdown of the piece. https://ow.ly/aV5I50XQncs

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