Generative AI in clinical practice: novel qualitative evidence of risk and responsible use of Google's NotebookLM

TL;DR

This paper discusses the potential benefits and significant risks of using Google's NotebookLM, a generative AI tool, in clinical settings, emphasizing the need for careful testing before adoption.

Contribution

It provides novel qualitative evidence highlighting the risks associated with NotebookLM's use in clinical practice and advocates for responsible implementation.

Findings

Identifies clinical and technological risks of NotebookLM

Highlights the need for testing before clinical deployment

Emphasizes responsible AI use in healthcare

Abstract

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.