The advent of generative artificial intelligence (AI) has substantially altered — both positively and negatively — the ways in which people seek and obtain health-related information. People increasingly turn to large language models to make sense of their well-being, using them to interpret symptoms, plan diets, manage anxiety, and coach on sleep or fitness1,2. However, although the clinical AI community has rapidly coalesced around rigorous reporting guidelines for clinical trials3, there remains no equivalent, widely shared roadmap for consumer-facing applications. The recent launch of dedicated platforms like OpenAI’s ChatGPT Health and Ant Group’s AQ underscores this urgency.
article PHS+26
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