Artificial intelligence (AI) shows tremendous promise for applications in health care. Tools such as machine learning algorithms, artificial neural networks, and generative AI (e.g., Large Language Models) have the potential to aid with tasks such as diagnosis, treatment planning, and resource management. However, their ultimate impact on health outcomes will be shaped not only by the sophistication of the tools themselves, but by external "human factors" as well.
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- Acknowledgements and disclosures
- The authors would like to thank Sanjay Patnaik for his careful review and helpful comments, Stephanie Aaronson for her feedback, and Chris Miller for design assistance.The Brookings Institution is financed through the support of a diverse array of foundations, corporations, governments, individuals, as well as an endowment. A list of donors can be found in our annual reports published online here. The findings, interpretations, and conclusions in this report are solely those of its author(s) and are not influenced by any donation.
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