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Development of an Artificial Intelligence-Based Chromosome Interpretation System for Amniotic Fluid Karyotyping.

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Title: Development of an Artificial Intelligence-Based Chromosome Interpretation System for Amniotic Fluid Karyotyping.
Authors: Wu KH; Department of Emergency Medicine, Kaohsiung Chang Gung Memorial Hospital, Chang Gung University College of Medicine, Kaohsiung 833, Taiwan., Huang HW; Department of Obstetrics and Gynecology, Jen-Ai Hospital, Taichung 483, Taiwan.; Department of Obstetrics and Gynecology, Kaohsiung Chang Gung Memorial Hospital, Chang Gung University College of Medicine, Kaohsiung 833, Taiwan., Lin CY; Department of Obstetrics and Gynecology, Jen-Ai Hospital, Taichung 483, Taiwan.; Department of Obstetrics and Gynecology, Kaohsiung Chang Gung Memorial Hospital, Chang Gung University College of Medicine, Kaohsiung 833, Taiwan.; Department of Obstetrics and Gynecology, Chiayi Chang Gung Memorial Hospital, Chang Gung University College of Medicine, Chiayi 613, Taiwan., Huang HT; Department of Obstetrics and Gynecology, Kaohsiung Chang Gung Memorial Hospital, Chang Gung University College of Medicine, Kaohsiung 833, Taiwan., Fan TY; Center for Artificial Intelligence in Medicine, Linkou Chang Gung Memorial Hospital and Master of Science Degree Program in Innovation for Smart Medicine, Chang Gung University, Taoyuan 333, Taiwan.; Department of Research and Development, Chang Gung Medical Technology Co., Ltd., Taoyuan 333, Taiwan., Chen YP; Center for Artificial Intelligence in Medicine, Linkou Chang Gung Memorial Hospital and Master of Science Degree Program in Innovation for Smart Medicine, Chang Gung University, Taoyuan 333, Taiwan.; Division of Rheumatology, Allergy and Immunology, Linkou Chang Gung Memorial Hospital, Taoyuan 333, Taiwan., Chang YC; Department of Obstetrics and Gynecology, Kaohsiung Chang Gung Memorial Hospital, Chang Gung University College of Medicine, Kaohsiung 833, Taiwan., Hsu TY; Department of Obstetrics and Gynecology, Kaohsiung Chang Gung Memorial Hospital, Chang Gung University College of Medicine, Kaohsiung 833, Taiwan., Lan KC; Department of Obstetrics and Gynecology, Jen-Ai Hospital, Taichung 483, Taiwan.; Department of Obstetrics and Gynecology, Kaohsiung Chang Gung Memorial Hospital, Chang Gung University College of Medicine, Kaohsiung 833, Taiwan.; School of Medicine, College of Medicine, National Sun Yat-sen University, Kaohsiung 804, Taiwan.
Source: International journal of molecular sciences [Int J Mol Sci] 2026 Feb 11; Vol. 27 (4). Date of Electronic Publication: 2026 Feb 11.
Publication Type: Journal Article
Journal Info: Publisher: MDPI Country of Publication: Switzerland NLM ID: 101092791 Publication Model: Electronic Cited Medium: Internet ISSN: 1422-0067 (Electronic) Linking ISSN: 14220067 NLM ISO Abbreviation: Int J Mol Sci Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: Development of an Artificial Intelligence-Based Chromosome Interpretation System for Amniotic Fluid Karyotyping.
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  Data: <searchLink fieldCode="AU" term="%22Wu+KH%22">Wu KH</searchLink>; Department of Emergency Medicine, Kaohsiung Chang Gung Memorial Hospital, Chang Gung University College of Medicine, Kaohsiung 833, Taiwan.<br /><searchLink fieldCode="AU" term="%22Huang+HW%22">Huang HW</searchLink>; Department of Obstetrics and Gynecology, Jen-Ai Hospital, Taichung 483, Taiwan.; Department of Obstetrics and Gynecology, Kaohsiung Chang Gung Memorial Hospital, Chang Gung University College of Medicine, Kaohsiung 833, Taiwan.<br /><searchLink fieldCode="AU" term="%22Lin+CY%22">Lin CY</searchLink>; Department of Obstetrics and Gynecology, Jen-Ai Hospital, Taichung 483, Taiwan.; Department of Obstetrics and Gynecology, Kaohsiung Chang Gung Memorial Hospital, Chang Gung University College of Medicine, Kaohsiung 833, Taiwan.; Department of Obstetrics and Gynecology, Chiayi Chang Gung Memorial Hospital, Chang Gung University College of Medicine, Chiayi 613, Taiwan.<br /><searchLink fieldCode="AU" term="%22Huang+HT%22">Huang HT</searchLink>; Department of Obstetrics and Gynecology, Kaohsiung Chang Gung Memorial Hospital, Chang Gung University College of Medicine, Kaohsiung 833, Taiwan.<br /><searchLink fieldCode="AU" term="%22Fan+TY%22">Fan TY</searchLink>; Center for Artificial Intelligence in Medicine, Linkou Chang Gung Memorial Hospital and Master of Science Degree Program in Innovation for Smart Medicine, Chang Gung University, Taoyuan 333, Taiwan.; Department of Research and Development, Chang Gung Medical Technology Co., Ltd., Taoyuan 333, Taiwan.<br /><searchLink fieldCode="AU" term="%22Chen+YP%22">Chen YP</searchLink>; Center for Artificial Intelligence in Medicine, Linkou Chang Gung Memorial Hospital and Master of Science Degree Program in Innovation for Smart Medicine, Chang Gung University, Taoyuan 333, Taiwan.; Division of Rheumatology, Allergy and Immunology, Linkou Chang Gung Memorial Hospital, Taoyuan 333, Taiwan.<br /><searchLink fieldCode="AU" term="%22Chang+YC%22">Chang YC</searchLink>; Department of Obstetrics and Gynecology, Kaohsiung Chang Gung Memorial Hospital, Chang Gung University College of Medicine, Kaohsiung 833, Taiwan.<br /><searchLink fieldCode="AU" term="%22Hsu+TY%22">Hsu TY</searchLink>; Department of Obstetrics and Gynecology, Kaohsiung Chang Gung Memorial Hospital, Chang Gung University College of Medicine, Kaohsiung 833, Taiwan.<br /><searchLink fieldCode="AU" term="%22Lan+KC%22">Lan KC</searchLink>; Department of Obstetrics and Gynecology, Jen-Ai Hospital, Taichung 483, Taiwan.; Department of Obstetrics and Gynecology, Kaohsiung Chang Gung Memorial Hospital, Chang Gung University College of Medicine, Kaohsiung 833, Taiwan.; School of Medicine, College of Medicine, National Sun Yat-sen University, Kaohsiung 804, Taiwan.
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  Data: <searchLink fieldCode="JN" term="%22101092791%22">International journal of molecular sciences</searchLink> [Int J Mol Sci] 2026 Feb 11; Vol. 27 (4). <i>Date of Electronic Publication: </i>2026 Feb 11.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22MDPI%22">MDPI </searchLink><i>Country of Publication: </i>Switzerland <i>NLM ID: </i>101092791 <i>Publication Model: </i>Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1422-0067 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2214220067%22">14220067 </searchLink><i>NLM ISO Abbreviation: </i>Int J Mol Sci <i>Subsets: </i>MEDLINE
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        Value: 10.3390/ijms27041746
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        Text: English
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              M: 02
              Text: 2026 Feb 11
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              Y: 2026
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