Reimbursement in the age of generalist radiology artificial intelligence
Abstract We argue that generalist radiology artificial intelligence (GRAI) challenges current healthcare reimbursement frameworks. Unlike narrow AI tools, GRAI’s multi-task capabilities render existing pathways inadequate. This perspective examines key questions surrounding GRAI reimbursement, inclu...
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| 主要な著者: | , , |
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| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Nature Portfolio
2024-12-01
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| シリーズ: | npj Digital Medicine |
| オンライン･アクセス: | https://doi.org/10.1038/s41746-024-01352-w |
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