Preeti
The World Health Organization released guidelines for the ethical use of Large Language Models (LLMs) and other AI in healthcare, highlighting the potential benefits and risks associated with their use. Ananth emphasizes the importance of accountability for developers and users of LLMs and recommends six safeguards to ensure responsible use.
One area of concern with LLMs is “hallucinations,” or model outputs that are incorrect, which can have serious implications in healthcare settings. Prashant Natarajan advises developers and users to be aware of hallucinations and to test LLMs to understand and mitigate them.
The future of LLMs in healthcare shows significant untapped potential, with many models currently being used for diagnostics and patient communication. However, there is a need to evaluate LLMs continuously through user feedback and to integrate them more deeply into everyday clinical and administrative tasks to reduce clinician burnout.
Natarajan envisions a future where LLMs are seamlessly integrated into healthcare applications, providing intelligent assistance and enhancing interactions between clinicians and patients. The evolution of AI in healthcare is moving towards more personalized, context-aware solutions that go beyond traditional tasks like writing emails.
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Source link: https://healthtechmagazine.net/article/2024/07/future-llms-in-healthcare-clinical-use-cases-perfcon
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