Artificial intelligence as a teaching tool for gynaecological ultrasound: A systematic search and scoping review.

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Title: Artificial intelligence as a teaching tool for gynaecological ultrasound: A systematic search and scoping review.
Authors: Deslandes, Alison1 (AUTHOR) alideslandes1@gmail.com, Avery, Jodie1 (AUTHOR), Chen, Hsiang‐Ting2 (AUTHOR), Leonardi, Mathew1,3 (AUTHOR), Condous, George1 (AUTHOR), Hull, M. Louise1 (AUTHOR)
Source: Australasian Journal of Ultrasound in Medicine. Feb2024, Vol. 27 Issue 1, p5-11. 7p.
Database: Academic Search Ultimate
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  Data: Artificial intelligence as a teaching tool for gynaecological ultrasound: A systematic search and scoping review.
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  Data: <searchLink fieldCode="JN" term="%22Australasian+Journal+of+Ultrasound+in+Medicine%22">Australasian Journal of Ultrasound in Medicine</searchLink>. Feb2024, Vol. 27 Issue 1, p5-11. 7p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=175751317
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      – Type: doi
        Value: 10.1002/ajum.12368
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      – Code: eng
        Text: English
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        PageCount: 7
        StartPage: 5
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      – TitleFull: Artificial intelligence as a teaching tool for gynaecological ultrasound: A systematic search and scoping review.
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            NameFull: Deslandes, Alison
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            NameFull: Avery, Jodie
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            NameFull: Chen, Hsiang‐Ting
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            NameFull: Leonardi, Mathew
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            NameFull: Condous, George
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            – D: 01
              M: 02
              Text: Feb2024
              Type: published
              Y: 2024
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