Beyond black-box models: explainable AI for embryo ploidy prediction and patient-centric consultation.

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Title: Beyond black-box models: explainable AI for embryo ploidy prediction and patient-centric consultation.
Authors: Luong, Thi-My-Trang1,2,3 (AUTHOR), Ho, Nguyen-Tuong3,4 (AUTHOR), Hwu, Yuh-Ming3 (AUTHOR), Lin, Shyr-Yeu3 (AUTHOR), Ho, Jason Yen-Ping3 (AUTHOR), Wang, Ruey-Sheng3 (AUTHOR), Lee, Yi-Xuan3 (AUTHOR), Tan, Shun-Jen3 (AUTHOR), Lee, Yi-Rong3 (AUTHOR), Huang, Yung-Ling3 (AUTHOR), Hsu, Yi-Ching3 (AUTHOR), Le, Nguyen-Quoc-Khanh2,5,6,7 (AUTHOR) khanhlee@tmu.edu.tw, Tzeng, Chii-Ruey3 (AUTHOR) tzengcr@tmu.edu.tw
Source: Journal of Assisted Reproduction & Genetics. Sep2024, Vol. 41 Issue 9, p2349-2358. 10p.
Database: Academic Search Ultimate
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  Data: Beyond black-box models: explainable AI for embryo ploidy prediction and patient-centric consultation.
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Assisted+Reproduction+%26+Genetics%22">Journal of Assisted Reproduction & Genetics</searchLink>. Sep2024, Vol. 41 Issue 9, p2349-2358. 10p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=179668000
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      – Type: doi
        Value: 10.1007/s10815-024-03178-7
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      – Code: eng
        Text: English
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            – D: 01
              M: 09
              Text: Sep2024
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