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GHOSTS IN THE MACHINE.

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Title: GHOSTS IN THE MACHINE.
Authors: HARRISON, SARA (AUTHOR)
Source: Discover. Jul/Aug2022, Vol. 43 Issue 4, p44-47. 4p. 1 Color Photograph, 2 Cartoon or Caricatures.
Subjects: Watson (Computer), Knee, Artificial intelligence, Medical care, Electronic health records
Abstract: If a physician runs a test and discovers a patient has diabetes, did the physician do a good job? For big tech companies experimenting with medical AI, the machine-powered doctor is still very much "in." - S.H. AN EARLY PROTOTYPE of Watson, seen here in 2011, was originally the size of a master bedroom. Not only did the AI predict who felt pain more accurately than the doctors did, it also showed that Black patients' pain wasn't psychosomatic. [Extracted from the article]
Copyright of Discover is the property of Discover Magazine, Inc. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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  Data: If a physician runs a test and discovers a patient has diabetes, did the physician do a good job? For big tech companies experimenting with medical AI, the machine-powered doctor is still very much "in." - S.H. AN EARLY PROTOTYPE of Watson, seen here in 2011, was originally the size of a master bedroom. Not only did the AI predict who felt pain more accurately than the doctors did, it also showed that Black patients' pain wasn't psychosomatic. [Extracted from the article]
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  Data: <i>Copyright of Discover is the property of Discover Magazine, Inc. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=157118568
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