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. |
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| 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.) | |
| Database: | Engineering Source |
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| Header | DbId: egs DbLabel: Engineering Source An: 173493331 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Success Through Simplicity: What Other Artificial Intelligence Applications in Medicine Should Learn from History and ChatGPT. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Sedaghat%2C+Sam%22">Sedaghat, Sam</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> samsedaghat1@gmail.com</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Annals+of+Biomedical+Engineering%22">Annals of Biomedical Engineering</searchLink>. Dec2023, Vol. 51 Issue 12, p2657-2658. 2p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22ChatGPT%22">ChatGPT</searchLink><br /><searchLink fieldCode="DE" term="%22Artificial+intelligence%22">Artificial intelligence</searchLink><br /><searchLink fieldCode="DE" term="%22Simplicity%22">Simplicity</searchLink><br /><searchLink fieldCode="DE" term="%22Success%22">Success</searchLink><br /><searchLink fieldCode="DE" term="%22Medical+practice%22">Medical practice</searchLink> – Name: Abstract Label: Abstract Group: Ab 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 Label: Group: Ab 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.) |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=173493331 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s10439-023-03287-x Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 2 StartPage: 2657 Subjects: – SubjectFull: ChatGPT Type: general – SubjectFull: Artificial intelligence Type: general – SubjectFull: Simplicity Type: general – SubjectFull: Success Type: general – SubjectFull: Medical practice Type: general Titles: – TitleFull: Success Through Simplicity: What Other Artificial Intelligence Applications in Medicine Should Learn from History and ChatGPT. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Sedaghat, Sam IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 12 Text: Dec2023 Type: published Y: 2023 Identifiers: – Type: issn-print Value: 00906964 Numbering: – Type: volume Value: 51 – Type: issue Value: 12 Titles: – TitleFull: Annals of Biomedical Engineering Type: main |
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