In this insightful conversation, we sit down with David Lareau, a seasoned health care executive, to demystify the growing trend of large language models (LLMs) in the health care industry. With the rise of ChatGPT and other LLMs, the medical field is on the brink of a technological revolution, but not without its own set of challenges and risks. As we explore the possibilities and limitations of LLMs in medicine, we tackle the pressing issues of misinformation and bias that come hand-in-hand with these powerful tools. From hallucinating inaccurate information to perpetuating biases in medical data, we uncover the potential pitfalls that health care providers must navigate when incorporating LLMs into their practices. Join us as we delve into the importance of integrating clinical relevancy engines to refine LLM outputs and ensure the delivery of accurate and reliable information in the ever-evolving landscape of health care. Don't miss out on this eye-opening discussion on the intersection of technology and medicine! If you're curious about the future implications of LLMs in health care, this is a conversation you won't want to miss.
David Lareau is a health care executive.
He discusses the KevinMD article, "The promise and pitfalls of large language models in clinical applications."
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