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Abstract

The age of artificial intelligence (AI) is upon us. Specifically, generative AI has been transforming how we interface with the world by directly generating its own novel output.1 Medicine is not immune to this change. AI search tools such as OpenEvidence have shown promise by providing evidence-based recommendations, already proven to perform well in primary care settings, with additional promise for future applications.2 AI tools have taken over the note-writing process through ambient software, allowing physicians to dedicate more time to face-to-face interaction with their patients.3 These and other developments show clear reason to be excited about what generative AI can bring to the medical field. Like with any other technological paradigm shift, it would behoove the members of the medical community to become well-versed in using these tools. However, we as trainees recognize that the messaging surrounding generative AI and its potential clinical applications has been nonstop and unilaterally positive. We continue to be bombarded with discussions about AI, how it can be integrated into our electronic medical record (EMR), and how we must embrace its inevitable ubiquity in healthcare. These exposures all highlight its possibilities, but do not comment on its potential dangers. With AI’s role in healthcare evolving every day, it is imperative to be fully informed to ethically incorporate it into daily practice.

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