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

Author

Listed:
  • 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)

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.

Suggested Citation

  • Charalampos Siristatidis & Abraham Pouliakis & Vasilios Karageorgiou & Paraskevi Vogiatzi, 2019. "Mobile Apps for Helping Patient-Users: Is It Still Far-Fetched?," Sustainability, MDPI, vol. 12(1), pages 1-7, December.
    • Handle: RePEc:gam:jsusta:v:12:y:2019:i:1:p:106-:d:300712
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    References listed on IDEAS

    as
    1. Abraham Pouliakis, 2019. "Third Age and Mobile Health," International Journal of Reliable and Quality E-Healthcare (IJRQEH), IGI Global, vol. 8(4), pages 67-79, October.
    2. Rallou Perroti & Abraham Pouliakis & Niki Margari & Eleni Panopoulou & Efrossyni Karakitsou & Dimitra Iliopoulou & Ioannis Panayiotides & Dimitrios Dionysios Koutsouris, 2018. "CytoNet, A Versatile Web-Based System for Accessing Advisory Cytology Services: Application of Artificial Intelligence," International Journal of Reliable and Quality E-Healthcare (IJRQEH), IGI Global, vol. 7(3), pages 37-56, July.
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    Cited by:

    1. Yizhi Liu & Xuan Lu & Chengjiang Li & Gang Zhao, 2022. "The Influence of Content Presentation on Users’ Intention to Adopt mHealth Applications: Based on the S-O-R Theoretical Model," Sustainability, MDPI, vol. 14(16), pages 1-20, August.

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