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

Fuente: arXiv
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Autores principales: Reuter, Max, Philippone, Maura, Benton, Bond, Dilley, Laura
Formato: Preprint
Publicado: 2025
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author Reuter, Max
Philippone, Maura
Benton, Bond
Dilley, Laura
author_facet Reuter, Max
Philippone, Maura
Benton, Bond
Dilley, Laura
contents 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.
format Preprint
id arxiv_https___arxiv_org_abs_2505_01955
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Generative AI in clinical practice: novel qualitative evidence of risk and responsible use of Google's NotebookLM
Reuter, Max
Philippone, Maura
Benton, Bond
Dilley, Laura
Artificial Intelligence
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.
title Generative AI in clinical practice: novel qualitative evidence of risk and responsible use of Google's NotebookLM
topic Artificial Intelligence
url https://arxiv.org/abs/2505.01955