EDP Sciences logo
Web of Conferences logo
Search
Menu
All issues Volume 341 (2025) EPJ Web Conf., 341 (2025) 01012 References
Open Access
Issue
EPJ Web Conf.
Volume 341, 2025
2nd International Conference on Advent Trends in Computational Intelligence and Communication Technologies (ICATCICT 2025)
Article Number 01012
Number of page(s) 15
DOI https://doi.org/10.1051/epjconf/202534101012
Published online 20 November 2025
  1. Esteva, A., Kuprel, B., Novoa, R. A., Ko, J., Swetter, S. M., Blau, H. M., & Thrun, S. (2017). Dermatologist-level classification of skin cancer with deep neural networks. Nature, 542(7639), 115-118. https://doi.org/10.1038/nature21056 [CrossRef] [Google Scholar]
  2. Chen, J. H., & Asch, S. M. (2017). Machine learning and prediction in medicine– beyond the peak of inflated expectations. The New England Journal of Medicine, 376(26), 2507-2509. https://doi.org/10.1056/NEJMp1702071 [Google Scholar]
  3. Klonoff, D. C. (2020). The new era of continuous glucose monitoring. Diabetes Technology & Therapeutics, 22(S3), S-1-S-4. https://doi.org/10.1089/dia.2020.0094 [Google Scholar]
  4. Al-Fuqaha, A., Guizani, M., Mohammadi, M., Aledhari, M., & Ayyash, M. (2015). Internet of things: A survey on enabling technologies, protocols, and applications. IEEE Communications Surveys & Tutorials, 17(4), 2347-2376. https://doi.org/10.1109/COMST.2015.2444095 [CrossRef] [Google Scholar]
  5. Koehler, F., Winkler, S., Schieber, M., Sechtem, U., Stangl, K., Böhm, M., … Anker, S. D. (2018). Telemedical Interventional Monitoring in Heart Failure (TIM-HF), a randomised, controlled intervention trial investigating the impact of remote patient management on mortality and hospitalisations in ambulatory patients with chronic heart failure: study design and description of the study population. BMJ Open, 8(5), e021254. https://doi.org/10.1136/bmjopen-2017-021254 [Google Scholar]
  6. Gao, X., Li, J., Zhang, Y., & Wang, H. (2024). Artificial Intelligence Applications in Smart Healthcare. Future Internet, 16(9), 308. https://doi.org/10.3390/fi16090308 [Google Scholar]
  7. Mamdiwar, S. D., Shakruwala, Z., Chadha, U., Srinivasan, K., & Chang, C. Y. (2021). Recent advances on IoT-assisted wearable sensor systems for healthcare monitoring. Biosensors, 11(10), 372. https://doi.org/10.3390/bios11100372 [Google Scholar]
  8. Rani, S., Bhambri, P., Kataria, A., Khang, A., & Sivaraman, A. K. (2025). Machine Learning-Powered Smart Healthcare Systems in the Era of Big Data: Applications, Diagnostic Insights, Challenges, and Ethical Implications. Diagnostics, 15(15), 1914. https://doi.org/10.3390/diagnostics15151914 [Google Scholar]
  9. Junaid, S. B., Imam, A. A., Balogun, A. O., De Silva, L. C., Surakat, Y. A., Kumar, G., … Mahamad, S. (2022). Recent advancements in emerging technologies for healthcare management systems: A survey. Healthcare, 10(10), 1940. https://doi.org/10.3390/healthcare10101940 [Google Scholar]
  10. Verma, V. K., Singh, S., & Solanki, N. K. (2022). Machine learning applications in healthcare sector: An overview. Materials Today: Proceedings, 57, 2506-2512. https://doi.org/10.1016/j.matpr.2021.12.498 [Google Scholar]
  11. Haghi, M., Thurow, K., & Stoll, R. (2017). Wearable devices in medical internet of things: Scientific research and commercially available devices. Healthcare Informatics Research, 23(1), 4-15. https://doi.org/10.4258/hir.2017.23.1.4 [Google Scholar]
  12. Zovko, K., Perkovic, T., Solic, P., & Rodrigues, J. J. (2023). IoT and health monitoring wearable devices as enabling technologies for sustainable healthcare. Journal of Cleaner Production, 386, 135766. https://doi.org/10.1016/jjclepro.2023.135766 [Google Scholar]
  13. Serrano, L. P., Pinto, M. F., Silva, A., Ferreira, H., & Carvalho, H. (2023). Benefits and challenges of remote patient monitoring as perceived by health care professionals: A systematic review. JMIR Medical Informatics, 11, e44501. https://doi.org/10.2196/44501 [Google Scholar]
  14. Yang, S., & Zhu, J. (2024). Analysis of Global Research Trends and Development Trends in Smart Healthcare: A Bibliometric Study. Proceedings of the 2024 3rd International Symposium on Artificial Intelligence and Intelligent Manufacturing, 4552. https://doi.org/10.1145/3689299.3689315 [Google Scholar]
  15. Loncar-Turukalo, T., Zdravevski, E., Machado Da Silva, J., Chouvarda, I., & Trajkovik, V. (2025). Scoping Review of Technology Enabled Healthcare Integration-Towards Sustainable Care. IEEE Transactions on Biomedical Engineering, 72(3), 654-665. https://doi.org/10.1109/TBME.2024.3456789 [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.