Diagnostic errors are common and can result in significant harm to patients. While various approaches like education and reflective practices have been employed to reduce these errors, their success has been limited, especially when applied on a larger scale. LLMs, which can generate responses similar to human reasoning from text prompts, have shown promise in handling complex cases and patient interactions. These models are beginning to be incorporated into healthcare, where…
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