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Developing an iOS application that uses machine learning for the automated diagnosis of blepharoptosis.

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Title: Developing an iOS application that uses machine learning for the automated diagnosis of blepharoptosis.
Authors: Tabuchi H; Department of Technology and Design Thinking for Medicine, Hiroshima University, Hiroshima, Japan.; Department of Ophthalmology, Saneikai Tsukazaki Hospital, 68-1 Waku, Aboshi-ku, Himeji City, Hyogo, 671-1227, Japan., Nagasato D; Department of Technology and Design Thinking for Medicine, Hiroshima University, Hiroshima, Japan. d.nagasato@tsukazaki-eye.net.; Department of Ophthalmology, Saneikai Tsukazaki Hospital, 68-1 Waku, Aboshi-ku, Himeji City, Hyogo, 671-1227, Japan. d.nagasato@tsukazaki-eye.net., Masumoto H; Department of Technology and Design Thinking for Medicine, Hiroshima University, Hiroshima, Japan.; Department of Ophthalmology, Saneikai Tsukazaki Hospital, 68-1 Waku, Aboshi-ku, Himeji City, Hyogo, 671-1227, Japan., Tanabe M; Department of Ophthalmology, Saneikai Tsukazaki Hospital, 68-1 Waku, Aboshi-ku, Himeji City, Hyogo, 671-1227, Japan., Ishitobi N; Department of Technology and Design Thinking for Medicine, Hiroshima University, Hiroshima, Japan., Ochi H; Department of Medicine, Hiroshima University, Hiroshima, Japan., Shimizu Y; Department of Ophthalmology, Saneikai Tsukazaki Hospital, 68-1 Waku, Aboshi-ku, Himeji City, Hyogo, 671-1227, Japan., Kiuchi Y; Department of Ophthalmology and Visual Sciences, Hiroshima University, Hiroshima, Japan.
Source: Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie [Graefes Arch Clin Exp Ophthalmol] 2022 Apr; Vol. 260 (4), pp. 1329-1335. Date of Electronic Publication: 2021 Nov 04.
Publication Type: Journal Article; Observational Study
Journal Info: Publisher: Springer-Verlag Country of Publication: Germany NLM ID: 8205248 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1435-702X (Electronic) Linking ISSN: 0721832X NLM ISO Abbreviation: Graefes Arch Clin Exp Ophthalmol Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: Developing an iOS application that uses machine learning for the automated diagnosis of blepharoptosis.
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  Data: <searchLink fieldCode="AU" term="%22Tabuchi+H%22">Tabuchi H</searchLink>; Department of Technology and Design Thinking for Medicine, Hiroshima University, Hiroshima, Japan.; Department of Ophthalmology, Saneikai Tsukazaki Hospital, 68-1 Waku, Aboshi-ku, Himeji City, Hyogo, 671-1227, Japan.<br /><searchLink fieldCode="AU" term="%22Nagasato+D%22">Nagasato D</searchLink>; Department of Technology and Design Thinking for Medicine, Hiroshima University, Hiroshima, Japan. d.nagasato@tsukazaki-eye.net.; Department of Ophthalmology, Saneikai Tsukazaki Hospital, 68-1 Waku, Aboshi-ku, Himeji City, Hyogo, 671-1227, Japan. d.nagasato@tsukazaki-eye.net.<br /><searchLink fieldCode="AU" term="%22Masumoto+H%22">Masumoto H</searchLink>; Department of Technology and Design Thinking for Medicine, Hiroshima University, Hiroshima, Japan.; Department of Ophthalmology, Saneikai Tsukazaki Hospital, 68-1 Waku, Aboshi-ku, Himeji City, Hyogo, 671-1227, Japan.<br /><searchLink fieldCode="AU" term="%22Tanabe+M%22">Tanabe M</searchLink>; Department of Ophthalmology, Saneikai Tsukazaki Hospital, 68-1 Waku, Aboshi-ku, Himeji City, Hyogo, 671-1227, Japan.<br /><searchLink fieldCode="AU" term="%22Ishitobi+N%22">Ishitobi N</searchLink>; Department of Technology and Design Thinking for Medicine, Hiroshima University, Hiroshima, Japan.<br /><searchLink fieldCode="AU" term="%22Ochi+H%22">Ochi H</searchLink>; Department of Medicine, Hiroshima University, Hiroshima, Japan.<br /><searchLink fieldCode="AU" term="%22Shimizu+Y%22">Shimizu Y</searchLink>; Department of Ophthalmology, Saneikai Tsukazaki Hospital, 68-1 Waku, Aboshi-ku, Himeji City, Hyogo, 671-1227, Japan.<br /><searchLink fieldCode="AU" term="%22Kiuchi+Y%22">Kiuchi Y</searchLink>; Department of Ophthalmology and Visual Sciences, Hiroshima University, Hiroshima, Japan.
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        Value: 10.1007/s00417-021-05475-8
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              Text: 2022 Apr
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