Generative AI in clinical practice: novel qualitative evidence of risk and responsible use of Google's NotebookLM
This addresses safety concerns for healthcare professionals and patients using AI tools in clinical settings, but it is incremental as it focuses on specific risks of an existing tool.
The paper argues that Google's NotebookLM, a generative AI tool, poses clinical and technological risks that need testing before implementation in clinical practice, despite its potential for innovation in areas like patient education and medical literature synthesis.
The advent of generative artificial intelligence, especially large language models (LLMs), presents opportunities for innovation in research, clinical practice, and education. Recently, Dihan et al. lauded LLM tool NotebookLM's potential, including for generating AI-voiced podcasts to educate patients about treatment and rehabilitation, and for quickly synthesizing medical literature for professionals. We argue that NotebookLM presently poses clinical and technological risks that should be tested and considered prior to its implementation in clinical practice.