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Should We Rely on AI to Help Avoid Bias in Patient Selection for Major Surgery?

Overview of attention for article published in The AMA Journal of Ethic, August 2022
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Title
Should We Rely on AI to Help Avoid Bias in Patient Selection for Major Surgery?
Published in
The AMA Journal of Ethic, August 2022
DOI 10.1001/amajethics.2022.773
Pubmed ID
Authors

Charles E Binkley, David S Kemp, Brandi Braud Scully

Abstract

Many regard iatrogenic injuries as consequences of diagnosis or intervention actions. But inaction-not offering indicated major surgery-can also result in iatrogenic injury. This article explores some surgeons' overestimations of operative risk based on patients' race and socioeconomic status as unduly influential in their decisions about whether to perform major cancer or cardiac surgery on some patients with appropriate clinical indications. This article also considers artificial intelligence and machine learning-based clinical decision support systems that might offer more accurate, individualized risk assessment that could make patient selection processes more equitable, thereby mitigating racial and ethnic inequity in cancer and cardiac disease.

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The data shown below were collected from the profiles of 15 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 11 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 2 18%
Professor > Associate Professor 2 18%
Student > Master 1 9%
Student > Ph. D. Student 1 9%
Unknown 5 45%
Readers by discipline Count As %
Computer Science 2 18%
Biochemistry, Genetics and Molecular Biology 1 9%
Social Sciences 1 9%
Neuroscience 1 9%
Medicine and Dentistry 1 9%
Other 0 0%
Unknown 5 45%