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Guardrails for the use of generalist AI in cancer care
Nature Reviews Cancer ( IF 78.5 ) Pub Date : 2024-04-16 , DOI: 10.1038/s41568-024-00685-8
Stephen Gilbert , Jakob Nikolas Kather

Artificial narrow intelligence models, trained for specific intended purposes, have gained approval and recommendation for cancer treatment. Generalist medicial artificial intelligence (GMAI) models are now being developed for cancer treatment. Policy makers have a stark choice: radically adapt frameworks, block generalist approaches or force them onto narrower tracks. Generalist medical artificial intelligence (GMAI) models are gaining momentum in their applications for cancer treatment. In this Comment, Gilbert and Kather advocate for novel regulation of GMAI approaches to ensure patient safety and adequate physician support.

中文翻译:

在癌症护理中使用通才人工智能的护栏

针对特定预期目的进行训练的人工智能模型已获得癌症治疗的批准和推荐。目前正在开发用于癌症治疗的通用医学人工智能(GMAI)模型。政策制定者面临着一个严峻的选择:从根本上调整框架、阻止通才方法或迫使它们走上更窄的轨道。通用医学人工智能(GMAI)模型在癌症治疗的应用中势头强劲。在这篇评论中,吉尔伯特和凯瑟提倡对 GMAI 方法进行新的监管,以确保患者安全和足够的医生支持。
更新日期:2024-04-16
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