{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,30]],"date-time":"2026-04-30T16:09:13Z","timestamp":1777565353377,"version":"3.51.4"},"reference-count":11,"publisher":"MDPI AG","issue":"4","license":[{"start":{"date-parts":[[2025,3,31]],"date-time":"2025-03-31T00:00:00Z","timestamp":1743379200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Future Internet"],"abstract":"<jats:p>eHealth (electronic health) and mHealth (mobile health) have been rapidly evolving in recent years, offering innovative solutions to healthcare challenges [...]<\/jats:p>","DOI":"10.3390\/fi17040152","type":"journal-article","created":{"date-parts":[[2025,3,31]],"date-time":"2025-03-31T05:10:07Z","timestamp":1743397807000},"page":"152","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["eHealth and mHealth"],"prefix":"10.3390","volume":"17","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-4439-4799","authenticated-orcid":false,"given":"Bernhard","family":"Neumayer","sequence":"first","affiliation":[{"name":"eHealth Institute, FH Joanneum, University of Applied Sciences, 8020 Graz, Austria"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0824-9989","authenticated-orcid":false,"given":"Stefan","family":"Sauermann","sequence":"additional","affiliation":[{"name":"Department of Biomedical Engineering, University of Applied Sciences Technikum Wien, 1200 Vienna, Austria"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3833-4252","authenticated-orcid":false,"given":"Sten","family":"Hanke","sequence":"additional","affiliation":[{"name":"eHealth Institute, FH Joanneum, University of Applied Sciences, 8020 Graz, Austria"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2025,3,31]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","unstructured":"Lederman, R., Brainin, E., and Ben-Assuli, O. (2024). The Electronic Medical Record\u2014A New Look at the Challenges and Opportunities. Future Internet, 16.","DOI":"10.3390\/fi16030074"},{"key":"ref_2","doi-asserted-by":"crossref","unstructured":"Aloqaily, A., Abdallah, E.E., Al-Zyoud, R., Abu Elsoud, E., Al-Hassan, M., and Abdallah, A.E. (2025). Deep Learning Framework for Advanced De-Identification of Protected Health Information. Future Internet, 17.","DOI":"10.3390\/fi17010047"},{"key":"ref_3","doi-asserted-by":"crossref","unstructured":"Baumgartner, M., Kreiner, K., Wiesm\u00fcller, F., Hayn, D., Puelacher, C., and Schreier, G. (2024). Masketeer: An Ensemble-Based Pseudonymization Tool with Entity Recognition for German Unstructured Medical Free Text. Future Internet, 16.","DOI":"10.3390\/fi16080281"},{"key":"ref_4","doi-asserted-by":"crossref","unstructured":"Muralinath, R.N., Pathak, V., and Mahanti, P.K. (2025). Metastable Substructure Embedding and Robust Classification of Multichannel EEG Data Using Spectral Graph Kernels. Future Internet, 17.","DOI":"10.3390\/fi17030102"},{"key":"ref_5","doi-asserted-by":"crossref","unstructured":"Paraschiv, E.A., B\u0103jenaru, L., Petrache, C., Bica, O., and Nicolau, D.N. (2024). AI-Driven Neuro-Monitoring: Advancing Schizophrenia Detection and Management Through Deep Learning and EEG Analysis. Future Internet, 16.","DOI":"10.3390\/fi16110424"},{"key":"ref_6","doi-asserted-by":"crossref","unstructured":"Saleh, S.N., Elagamy, M.N., Saleh, Y.N.M., and Osman, R.A. (2024). An Explainable Deep Learning-Enhanced IoMT Model for Effective Monitoring and Reduction of Maternal Mortality Risks. Future Internet, 16.","DOI":"10.3390\/fi16110411"},{"key":"ref_7","doi-asserted-by":"crossref","unstructured":"Maher, C., Dankiw, K.A., Singh, B., Bogomolova, S., and Curtis, R.G. (2024). In-Home Evaluation of the Neo Care Artificial Intelligence Sound-Based Fall Detection System. Future Internet, 16.","DOI":"10.3390\/fi16060197"},{"key":"ref_8","doi-asserted-by":"crossref","unstructured":"Basulo-Ribeiro, J., and Teixeira, L. (2024). The Future of Healthcare with Industry 5.0: Preliminary Interview-Based Qualitative Analysis. Future Internet, 16.","DOI":"10.3390\/fi16030068"},{"key":"ref_9","doi-asserted-by":"crossref","unstructured":"Carchiolo, V., and Malgeri, M. (2025). Trends, Challenges, and Applications of Large Language Models in Healthcare: A Bibliometric and Scoping Review. Future Internet, 17.","DOI":"10.3390\/fi17020076"},{"key":"ref_10","doi-asserted-by":"crossref","unstructured":"Reali, G., and Femminella, M. (2024). Artificial Intelligence to Reshape the Healthcare Ecosystem. Future Internet, 16.","DOI":"10.3390\/fi16090343"},{"key":"ref_11","doi-asserted-by":"crossref","unstructured":"Gao, X., He, P., Zhou, Y., and Qin, X. (2024). Artificial Intelligence Applications in Smart Healthcare: A Survey. Future Internet, 16.","DOI":"10.3390\/fi16090308"}],"container-title":["Future Internet"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/1999-5903\/17\/4\/152\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,9]],"date-time":"2025-10-09T17:06:28Z","timestamp":1760029588000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/1999-5903\/17\/4\/152"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,3,31]]},"references-count":11,"journal-issue":{"issue":"4","published-online":{"date-parts":[[2025,4]]}},"alternative-id":["fi17040152"],"URL":"https:\/\/doi.org\/10.3390\/fi17040152","relation":{},"ISSN":["1999-5903"],"issn-type":[{"value":"1999-5903","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,3,31]]}}}