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The authors identify four specific hurdles for Large Language Models in medical applications: 1) the rapid evolution of medical information leading to potential model obsolescence, 2) the necessity of precision in medical information, 3) the interconnected nature of medical concepts where small errors can cascade, and 4) the presence of domain-specific jargon and context requiring specialized interpretation.

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