Large language models (LLMs) are gaining attention in the medical industry for their ability to pass medical exams and reduce documentation burdens on clinicians. LLMs can generate human-like text, offering an opportunity to improve communication and access to healthcare for patients. Three major patient-care advantages of LLMs include directing patients to the right level of care, personalized treatment plans, and increased patient engagement. However, there are significant challenges related to privacy and bias that must be considered when implementing LLM technology. Transparency, security, and patient consent are crucial in the development and application of LLMs to protect patient data and ensure positive outcomes in healthcare.
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