Success Through Simplicity: What Other Artificial Intelligence Applications in Medicine Should Learn from History and ChatGPT.

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Title: Success Through Simplicity: What Other Artificial Intelligence Applications in Medicine Should Learn from History and ChatGPT.
Authors: Sedaghat, Sam1 (AUTHOR) samsedaghat1@gmail.com
Source: Annals of Biomedical Engineering. Dec2023, Vol. 51 Issue 12, p2657-2658. 2p.
Subjects: ChatGPT, Artificial intelligence, Simplicity, Success, Medical practice
Abstract: Many artificial intelligence (AI) algorithms have been developed for medical practice, but few have led to clinically used products. The recent hype of ChatGPT shows us that simple, user-friendly interfaces are one major factor in the applications' popularity. The majority of AI-based applications in clinical practice are still far from simple-to-use applications with user-friendly interfaces. Therefore, simplifying operations is one key to AI-based medical applications' success. [ABSTRACT FROM AUTHOR]
Copyright of Annals of Biomedical Engineering is the property of Springer Nature 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.)
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  Data: Success Through Simplicity: What Other Artificial Intelligence Applications in Medicine Should Learn from History and ChatGPT.
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  Data: Many artificial intelligence (AI) algorithms have been developed for medical practice, but few have led to clinically used products. The recent hype of ChatGPT shows us that simple, user-friendly interfaces are one major factor in the applications' popularity. The majority of AI-based applications in clinical practice are still far from simple-to-use applications with user-friendly interfaces. Therefore, simplifying operations is one key to AI-based medical applications' success. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
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  Data: <i>Copyright of Annals of Biomedical Engineering is the property of Springer Nature 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.)
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      – Type: doi
        Value: 10.1007/s10439-023-03287-x
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      – Code: eng
        Text: English
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      – SubjectFull: Simplicity
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      – SubjectFull: Success
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      – SubjectFull: Medical practice
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      – TitleFull: Success Through Simplicity: What Other Artificial Intelligence Applications in Medicine Should Learn from History and ChatGPT.
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              M: 12
              Text: Dec2023
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              Y: 2023
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