# Special Issue on eHealth Innovative Approaches and Applications
## 3 Future of eHealth Applications and Approaches  
This Special Issue gathered several studies in the field of eHealth, and the results of the published research describe interesting innovative approaches and applications from this domain. This Special Issue also underlines some of the issues that remain, as well as some risks and limits, proposing possible solutions.  
In detail, some of the presented papers focused on Artificial Intelligence and Machine Learning applied to medicine and care applications, such as COVID-19 classification (contribution 4), biomedical scientific literature semantic indexing (contribution 1), the early detection of breast cancer (contribution 10) and reviewing the more recent combined use of Artificial Intelligence and IoMT wearable sensors in healthcare (contribution 13). Other papers considered eHealth cyber security, proposing a simulation environment to test DICOM communication and evaluate the related risks (contribution 5), producing a literature review of the cyber security issues of IoMT devices (contribution 7) and framing the current state of cyber hygiene in the eHealth domain, proposing a human-centric approach for the effective education of non-expert users on the best cyber security practises (contribution 12). One published paper reviewed the application of a Fractal Analysis methodology for oral cancer diagnosis (contribution 11). Another paper proposed a traffic and energy optimisation for IoMT devices (contribution 3). A study that describes the use of LLMs for automatic ICD-10 classification was presented in contribution 6, comparing them on a very large Thai language dataset formed from inpatient admissions. Two applications were, respectively, described in contribution 8 and contribution 9, presenting, in the first case, a DICOM-based medical image communication system enhanced with advanced compression methods, and, in the latter case, an Android application for the collection and distributions of logs from IoMT devices, tailored to analyse their cyber security issues. Finally, an approach to support the development of applications related to the nutritional domain has been presented in contribution 2.  
The eHealth domain, thanks to evolutions in its technologies and the methods, is constantly evolving, and, therefore, new volumes of this Special Issue have been planned for the future.  
This work is supported by European Union - NextGenerationEU - National Recovery and Resilience Plan (Piano Nazionale di Ripresa e Resilienza, PNRR) - Project: \"SoBigData.it - Strengthening the Italian RI for Social Mining and Big Data Analytics\" - Prot. IR0000013 - Avviso n. 3264 del 28/12/2021, and by the European Commission, grant number 101083563, DS4 HEALTH--Digital skills for Healthcare Transformation.  
**Acknowledgments:** This Special Issue would not have been possible without the contributions of the authors and the reviewers. We congratulate all authors. Moreover, we would like to take this opportunity to express our sincere gratitude to all the reviewers. Finally, we place on record our gratitude to [PERSON] and to [PERSON] for their technical and administrative supports.  
**Conflicts of Interest:** The authors declare no conflicts of interest.