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Mobile Apps for Helping Patient-Users: Is It Still Far-Fetched?

Charalampos Siristatidis, Abraham Pouliakis, Vasilios Karageorgiou and Paraskevi Vogiatzi
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Charalampos Siristatidis: 3rd Department of Obstetrics and Gynecology, Assisted Reproduction Unit, “Attikon” University Hospital, Medical School, National and Kapodistrian, University of Athens, 12462 Athens, Greece
Abraham Pouliakis: 2nd Department of Pathology, “Attikon” University Hospital, National and Kapodistrian University of Athens, 12462 Athens, Greece
Vasilios Karageorgiou: 2nd Department of Psychiatry, “Attikon” University Hospital, National and Kapodistrian University of Athens, 12462 Athens, Greece
Paraskevi Vogiatzi: 3rd Department of Obstetrics and Gynecology, Assisted Reproduction Unit, “Attikon” University Hospital, Medical School, National and Kapodistrian, University of Athens, 12462 Athens, Greece

Sustainability, 2019, vol. 12, issue 1, 1-7

Abstract: Emergence of health-related smartphone applications and their wide dissemination in public as well as healthcare practitioners has undergone criticism under the scope of public health. Still, despite methodological issues curbing the initial enthusiasm, availability, safety and, in certain cases, documented efficacy of these measures has secured regulatory approval. Bearing in mind these pitfalls, we describe the necessary steps towards implementation of deep learning techniques in the specific clinical context of women’s health and infertility in particular.

Keywords: mobile health; infertility; neural networks; smartphone applications (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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