IDEAS home Printed from https://ideas.repec.org/a/gam/jftint/v17y2025i4p152-d1624565.html
   My bibliography  Save this article

eHealth and mHealth

Author

Listed:
  • Bernhard Neumayer

    (eHealth Institute, FH Joanneum, University of Applied Sciences, 8020 Graz, Austria)

  • Stefan Sauermann

    (Department of Biomedical Engineering, University of Applied Sciences Technikum Wien, 1200 Vienna, Austria)

  • Sten Hanke

    (eHealth Institute, FH Joanneum, University of Applied Sciences, 8020 Graz, Austria)

Abstract

eHealth (electronic health) and mHealth (mobile health) have been rapidly evolving in recent years, offering innovative solutions to healthcare challenges [...]

Suggested Citation

  • Bernhard Neumayer & Stefan Sauermann & Sten Hanke, 2025. "eHealth and mHealth," Future Internet, MDPI, vol. 17(4), pages 1-2, March.
  • Handle: RePEc:gam:jftint:v:17:y:2025:i:4:p:152-:d:1624565
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1999-5903/17/4/152/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1999-5903/17/4/152/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Reeva Lederman & Esther Brainin & Ofir Ben-Assuli, 2024. "The Electronic Medical Record—A New Look at the Challenges and Opportunities," Future Internet, MDPI, vol. 16(3), pages 1-4, February.
    2. Martin Baumgartner & Karl Kreiner & Fabian Wiesmüller & Dieter Hayn & Christian Puelacher & Günter Schreier, 2024. "Masketeer: An Ensemble-Based Pseudonymization Tool with Entity Recognition for German Unstructured Medical Free Text," Future Internet, MDPI, vol. 16(8), pages 1-16, August.
    3. Vincenza Carchiolo & Michele Malgeri, 2025. "Trends, Challenges, and Applications of Large Language Models in Healthcare: A Bibliometric and Scoping Review," Future Internet, MDPI, vol. 17(2), pages 1-32, February.
    4. Elena-Anca Paraschiv & Lidia Băjenaru & Cristian Petrache & Ovidiu Bica & Dragoș-Nicolae Nicolau, 2024. "AI-Driven Neuro-Monitoring: Advancing Schizophrenia Detection and Management Through Deep Learning and EEG Analysis," Future Internet, MDPI, vol. 16(11), pages 1-21, November.
    5. Gianluca Reali & Mauro Femminella, 2024. "Artificial Intelligence to Reshape the Healthcare Ecosystem," Future Internet, MDPI, vol. 16(9), pages 1-33, September.
    6. Sherine Nagy Saleh & Mazen Nabil Elagamy & Yasmine N. M. Saleh & Radwa Ahmed Osman, 2024. "An Explainable Deep Learning-Enhanced IoMT Model for Effective Monitoring and Reduction of Maternal Mortality Risks," Future Internet, MDPI, vol. 16(11), pages 1-23, November.
    7. Rashmi N. Muralinath & Vishwambhar Pathak & Prabhat K. Mahanti, 2025. "Metastable Substructure Embedding and Robust Classification of Multichannel EEG Data Using Spectral Graph Kernels," Future Internet, MDPI, vol. 17(3), pages 1-19, February.
    8. Juliana Basulo-Ribeiro & Leonor Teixeira, 2024. "The Future of Healthcare with Industry 5.0: Preliminary Interview-Based Qualitative Analysis," Future Internet, MDPI, vol. 16(3), pages 1-26, February.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Jiayi Wang & Tianyou Zheng & Yang Zhang & Tianli Zheng & Weiwei Fu, 2025. "Comparative Feature-Guided Regression Network with a Model-Eye Pretrained Model for Online Refractive Error Screening," Future Internet, MDPI, vol. 17(4), pages 1-26, April.

    More about this item

    Keywords

    n/a;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jftint:v:17:y:2025:i:4:p:152-:d:1624565. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.