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| Hauptverfasser: | , , , |
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| Format: | Preprint |
| Veröffentlicht: |
2025
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| Schlagworte: | |
| Online-Zugang: | https://arxiv.org/abs/2505.01955 |
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| _version_ | 1866916719387213824 |
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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 |