Point-counterpoint:为医院医学开发生成式人工智能的最佳策略是什么?

Hannah Kerman, Andre Kumar, Byron Crowe, William Collins
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引用次数: 0

摘要

生成式人工智能(Gen AI)作为一种可以改善医疗保健服务的技术显示出巨大的前景,但其实施将受到其研究领域和医院有限资源的影响。《Point》的作者认为,我们应该把重点放在GenAI的认知能力上,否则我们可能会被排除在将改变医生执业方式的技术飞跃之外。Counterpoint认为,我们应该把重点放在使用GenAI来减轻系统负担和解决工作流程问题上,把精力集中在解决能够提高医生生活质量和增加与病人相处时间的问题上。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Point-counterpoint: What is the best strategy for developing generative AI for hospital medicine?

Generative Artificial Intelligence (Gen AI) shows significant promise as a technology that could improve healthcare delivery, but its implementation will be influenced by the spheres in which it is studied and the limited resources of hospitals. The Point authors argue that we should focus on is the cognitive abilities of GenAI or we risk being left out of a technological leap that will change the way doctors practice. The Counterpoint argues that we should focus on using GenAI to ease system burdens and address workflow issues, focusing our efforts on fixing the problems that would improve doctors' quality of life and increase time spent with patients.

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