2 - 5 July
Bologna, Italy
in conjunction with the 30thIEEE Symposium on Computers and Communications (ISCC)
an IEEE
Conference
to promote the exchange of information and
discussion about new ICT solutions for e-Health
Emerging
technologies
for Health
Cloud computing, Internet of Things (IoT), Computational
Intelligence, Bioinformatics,
Signal and Image processing
Welcome to the 5th IEEE International Conference on ICT Solutions for eHealth
in conjunction with the 30thIEEE Symposium on Computers and Communications (ISCC)
Due to the many requests, the submission deadline has been extended!
Submit your paper now:
https://edas.info/newPaper.php?c=33136
We inform you that authors of selected papers may be invited to submit extended versions of their papers for publication as full journal papers in the Special Issues: Affective Impact of Next-Generation Intelligent Health System organized in the prestigious indexed journal IEEE Transactions on Affective Computing (Q1 - IF: 9.6); or Advancements and Applications of the Internet of Things (IoT) in Medicine organized in the Frontiers in Medicine Journal (Q1 - IF 3.1)
e-Health is one of the major research topics that have been attracting cross-disciplinary research groups. The deployment of new emerging ICT technologies for Health, especially based on Cloud computing, Internet of Things (IoT), and Computational Intelligence, is attracting the interest of many researchers.
Following five successful workshop editions, three years ago ICTS4eHealth became an International IEEE Conference, and we are now proud to announce the fifth edition of this popular conference dedicated to ICT solutions for e-Health, especially based on Cloud computing, Internet of Things (IoT), and Computational Intelligence.
The conference will bring together researchers from academia, industry, government, and medical centers in order to present the state of the art in the emerging area of the use of cloud systems in connected health infrastructure and applications, and the use of IoT and Computational Intelligence techniques in the area of eHealth.
Steering Committee
Mission
e-Health is one of the major research topics that have been attracting cross-disciplinary research groups. The deployment of new emerging ICT technologies for Health, especially based on Cloud computing, Internet of Things (IoT), and Computational Intelligence, is attracting the interest of many researchers.
The use of Cloud computing, IoT technologies, and methods typical of Soft Computing and Computational Intelligence have been very prominent recently and can be of great help in finding good solutions to many practical healthcare applications.
For instance, health monitoring, health data storage, health data collection, mobile health, pervasive health, healthcare monitoring, telemedicine, context-aware computing, ubiquitous computing, processing health data in the cloud, securing health data in the cloud and Assistive Technology (AT) are areas of interest that are being addressed using cloud computing and IoT techniques. On the other hand, several challenging issues have raised due to the adoption of such emerging technologies. These include the quality of health data, the ability to retrieve information and use it in health context, as for example in tasks related to machine learning, knowledge discovery, decision support, regression, forecasting, optimization, feature selection, and additionally privacy and security issues of health data while being processed in the cloud, availability of health data, models of context and tele-monitoring of contextual applications.
Following five successful workshop editions, three years ago ICTS4eHealth became an International IEEE Conference, and we are now proud to announce the fifth edition of this popular conference dedicated to ICT solutions for e-Health, especially based on Cloud computing, Internet of Things (IoT), and Computational Intelligence.
The conference will bring together researchers from academia, industry, government, and medical centers in order to present the state of the art in the emerging area of the use of cloud systems in connected health infrastructure and applications, and the use of IoT and Computational Intelligence technique in the area of eHealth.
General Chair
Giovanna Sannino
ICAR-CNR, Italy
Technical Program Co-Chairs
Mohsen Ahmadi
Florida Atlantic University, USA
Ivanoe De Falco
ICAR-CNR, Italy
Itamir De Morais Barroca Filho
Federal University of Rio Grande do Norte, Brazil
Yu-Sheng Lin
National Cheng Kung University, Taiwan
Annamaria Ficara
University of Messina, Italy
Publicity Co-Chairs
Ilaria Basile
ICAR-CNR, Italy
Giovanni Lonia
University of Pisa, Italy
Keynote:
Prof. Salvador Garcia
Talk: Multi-modality approaches for medical support systems: where we are and where we are going
In this speech we will describe the transformative impact of multi-modality approaches in healthcare. Traditional single-modality methods have long limited the scope of medical decision-making, but we are now at a turning point. The convergence of advanced technologies and diverse data sources has opened unprecedented opportunities to revolutionize patient care.
This keynote will examine where we are today in the integration of multi-modality approaches, focusing on their role in enhancing disease diagnosis and prognosis. By fusing medical images, bio-signals, clinical records, and other critical data, these methods provide a holistic view of a patient’s condition, paving the way for truly personalized medicine. We will explore how multi-modality approaches enable a comprehensive patient profile, integrating genetic, imaging, and clinical data to inform precise, tailored treatments.
Looking ahead, we will address the technical challenges in synthesizing heterogeneous data and highlight the emergence of deep learning as a groundbreaking tool for multi-modal integration. Together, we’ll uncover the possibilities and potential of multi-modality in shaping the future of medical support systems.
Bio:
Salvador García received the B.S. and Ph.D. degrees in Computer Science from the University of Granada, Granada, Spain, in 2004 and 2008, respectively. He is currently a Full Professor in the Department of Computer Science and Artificial Intelligence, University of Granada, Granada, Spain.
Dr. García has published more than 130 papers in international journals (more than 95 in Q1), h-index 65. As edited activities, he is an Editor in Chief of “Information Fusion” (Elsevier), and an associate editor of “Swarm and Evolutionary Computation” (Elsevier), “AI Communications” (IOS Press) and “Machine Learning” (Springer) journals. He is a co-author of the books entitled “Data Preprocessing in Data Mining”, “Learning from Imbalanced Data Sets” and “Big Data Preprocessing: Enabling Smart Data” published by Springer.
His research interests include data science, data preprocessing, evolutionary learning, deep learning and data-centric AI. He belonged to the list of the Highly Cited Researchers in the area of Computer Sciences (2014-2020): http://highlycited.com/ (Clarivate Analytics).
Topics:
Conference Topics Include (But Are Not Limited To):
- Artificial Intelligence for eHealth
- Cloud computing applications for eHealth
- Internet of Things (IoT) applications for eHealth
- Assistive Technology (AT)
- Networking and Monitoring in Bio-systems
- Management and Organization of BME Environments
- Bioinformatics and Computational Biology and Medicine
- Monitoring of Vital Functions with Sensor and ICT Systems
- Biosensors and Sensor Networks
- Advanced Bio-signal Processing
- Distributed BME Applications
- Telehealth, Telecare, Telemonitoring, Telediagnostics
- e-Healthcare, m-Healthcare, x-Health
- Assisted Living
- Smartphones in BME Applications
- Social Networking, Computing and Education for Health
- Computer Aided Diagnostics
- Improved Therapeutic and Rehabilitation Methods
- Intelligent Bio-signal Interpretation
- Explainable and Interpretable AI models for Health, Biology and Medicine
- Federated Learning for Medical and Healthcare Data
- Signal and Image processing for Health
- Data and Visual Mining for Diagnostics
- Advanced Medical Visualization Techniques
- Personalized Medical Devices and Approaches
- Modelling and Computer Simulations in BME
- Human Responses in Extreme Environments
- Other Emerging Topics in BME
- e-Accessibility, web accessibility
- Hardware & Software personalized assistive technologies
- Assistive systems for users who are blind or visually impaired
- Integration between home-based assistive technologies and patient health data
- User-centered design of electronic assistive technologies
- Usability of assistive technologies
- Computer vision in AT
- User interfaces for home-based assistive technologies
- Use of prescription systems and assistive technologies
- Experience from real world assistive environment deployment
- Assistive Technologies for Urban Environments
- Healthcare modeling and simulation
- Knowledge discovery and decision support
- Biomedical data processing
- Wearable devices
- Sensor-based mHealth applications
- Security and Privacy in eHealth
The use of Soft Computing/Computational Intelligence methods in facing problems in the above topics is highly welcome, although by no way compulsory.
Submission
ICTS4eHealth main conference:
Manuscripts should describe original work and should be no more than 7 pages in the IEEE double-column proceedings format, including tables, figures and references.
In order to download manuscript templates for IEEE conference proceedings use the following link:
Papers can be submitted directly to EDAS:
Note that accepted papers up to 6 pages will be published with no additional charge. Exceeding pages will be charged an additional fee. Papers exceeding 7 pages will not be accepted.
At least one author of each accepted paper is required to register to the conference and present the paper. Only registered and presented papers will be published in the conference proceedings.
Accepted papers will be included in the proceedings of
Call for Special Session Proposals
The Steering Committee of IEEE ICTS4eHealth 2025 invites and welcomes you to submit proposals for exciting Special Sessions which should mandatorily include paper submission on topics relevant to the conference areas.
The Special Session intends to address current and future research and application topics, through experts in the field and may include, other than the paper presentation, discussions, and interactions among participants.
If you intend to propose and organize a special session, please submit a proposal by sending an email to
Title of the Special Session A brief description of the area of concern (approx. 100 words), with special focus on why this is considered to be an interesting and significant topic. The name and contact information of two or more Special Sessions chairs, who are willing to promote and organize a sufficient amount of quality submissions to the Special Sessions. Please also indicate the short bio of the organizers.
Once approved, it is the duty of the organizers to publicize the Special Session among researchers and practitioners in the field and attract a sufficient number of papers. Papers submitted to Special Session will undergo the same review process as regular papers. The Special Session organizers are responsible for managing the review process, assuring at least three reviews per paper. This includes the creation of a Special Session Technical Program Committee.
Before starting the review process, Special Session organizers must explicitly declare papers which present a conflict of interest for them. Any conflict of interest will be managed by the ICTS4eHealth organizers.
A minimum of 8 submitted papers, with an acceptance rate of 50% maximum, is required for each session.
- Submission deadline for Special Session Proposals:
December 09, 2024 - Notification of acceptance:
December 16, 2024
Accepted Special Sessions:
SS-XAIMHS: eXplainable Artificial Intelligence for Medical and Healthcare Systems
eXplainable Artificial Intelligence (XAI) components are crucial in an Artificial Intelligence (AI) system in the medical field, as physicians and practitioners cannot blindly trust the output of an AI model. Thus, there is a need to integrate explanation modules in order to justify the choices made by a model so as to provide medical workers with transparent systems that can explain the processes that led the AI model to provide a certain output. The aim of this special session is to give researchers the opportunity to present and discuss their work on XAI for medical and healthcare applications, or to provide insights and issues for future research directions.
TOPICS (but are not limited to):- Explainability of Machine Learning Models
- Interpretability of Deep Learning Models
- Fuzzy Logic Systems
- Neuro-symbolic AI
- eXplainable Artificial Intelligence for Medical Systems
- XAI in Computer Vision for Healthcare Systems
- XAI for Natural Language Processing Systems
- Issues and Challenges in XAI for Medical and Healthcare Systems
- Vincenzo Bevilacqua, Institute for high performance computing and networking of National Research Council (ICAR-CNR), Italy
- Antonio Di Marino, Institute for high performance computing and networking of National Research Council (ICAR-CNR), Italy
SS-GAIH: Generative AI for healthcare
Generative AI in healthcare can revolutionize how clinical staff diagnose, treat, and manage diseases. By leveraging powerful algorithms, it can analyze vast datasets of patient information to identify patterns and generate novel solutions. This technology offers the potential to accelerate drug discovery, personalize treatment plans, and improve diagnostic accuracy. What makes this field particularly compelling is its capacity to address previously intractable healthcare challenges, offering hope for more effective and accessible healthcare solutions in the future.
TOPICS (but are not limited to):- Enhancing Diagnostic Accuracy with Generative AI
- Personalized Treatment Plans Powered by AI
- Accelerating Drug Discovery and Development
- Analyzing Vast Healthcare Datasets to Uncover Patterns
- Addressing Ethical and Privacy Challenges in AI
- Improving Healthcare Accessibility Through AI Solutions
- Overcoming Technical Limitations of Generative AI
- The Future of AI in Transforming Healthcare Practices
- Prof. Dr. André Morais Gurgel, Federal University of Rio Grande do Norte (UFRN), Brazil
- Prof. Dr. Jean Mário Moreira de Lima, Federal University of Rio Grande do Norte (UFRN), Brazil
SS-AIS4PHCinEEC: AI-Driven Solutions for Public Health Challenges in Extreme Environmental Conditions
Severe and prolonged droughts pose significant challenges to public health and community resilience, especially in high-risk regions. This special session focuses on leveraging Artificial Intelligence (AI) and Machine Learning (ML) to advance drought prediction and reduce health vulnerabilities in extreme environments. By integrating technologies like satellite imagery, IoT devices, and historical climate records, the session will highlight innovative solutions to tackle public health risks associated with water scarcity.
Key discussions will revolve around AI-driven early warning systems, optimized allocation of health resources, and public health interventions informed by precise drought forecasts. Additionally, the session aims to explore strategies for mitigating cascading effects on food security, mental health, and community stability. Contributions are invited from researchers, practitioners, and policymakers working at the nexus of AI, environmental science, and public health to address challenges in extreme environments.
This special session invites contributions from researchers, practitioners, and policymakers who are working at the intersection of environmental science, public health, and AI-driven solutions to address challenges in extreme environments.
- AI in Public Health Crisis Management for Extreme Environments
- Predicting and mitigating health risks in drought-affected areas
- Early warning systems for waterborne diseases linked to drought conditions
- Telehealth and Remote Monitoring in Drought-Prone Regions
- Utilizing IoT and wearable devices to monitor dehydration and heat stress
- Delivering telehealth solutions to remote, drought-impacted areas
- Health-Climate Nexus: Insights from Big Data Analytics
- Identifying links between climate data and public health outcomes using AI
- Developing real-time dashboards for health and climate emergencies
- Drought and Mental Health
- Psychological impacts of drought and methods for AI-based mental health support
- Policy-Driven AI Models for Health and Environmental Sustainability
- Frameworks for integrating drought prediction into public health systems
- Risk communication strategies to promote resilience during environmental crises
- Mobile Health Applications for Drought Risk Reduction
- Development of apps to disseminate drought warnings and health guidelines
- Personal health trackers tailored for individuals in drought-stricken regions
- Food Security, Nutrition, and Health under Drought Conditions
- Predictive models for managing food security and nutrition during droughts
- eHealth Innovations in Global Drought Response
- Lessons from international case studies on eHealth in extreme environments
- Scaling AI/ML applications to address global health challenges
- Dr. Morteza Rahimi, Florida International University, Miami, FL, USA
- Dr. Masoud Reihanifar, University of California Berkeley, Berkeley, California, USA
- Dr. Saeed Asadi, University of Texas at Arlington, Texas, USA
- Dr. Hajar Kazemi Naeini, University of Texas at Arlington, Texas, USA
- Dr. Abbas Varmaghani, Islamic Azad University of Hamadan, Hamedan, Iran
SS-RSIoT-eHCaA: Robust and Secured IoT Solutions for E-Health Communications and Services
The integration of IoT in e-health is transforming healthcare by enabling real-time monitoring and improved patient care. However, it also raises critical challenges related to data security, privacy, and system resilience. This special session, organized as part of the International Conference on ICT Solutions for eHealth, focuses on robust IoT solutions for healthcare. It covers secure communication protocols, privacy-preserving mechanisms, resilient architectures, and emerging technologies like AI and blockchain. Bringing together experts and practitioners, the session aims to drive innovation in reliable and secure e-health systems, addressing critical challenges to ensure trust and efficiency in next-generation healthcare solutions.
TOPICS (but are not limited to):- Secure communication protocols for IoT-based e-health applications
- Privacy-preserving methods for healthcare data in IoT environments
- Resilient architectures for e-health IoT systems
- AI and machine learning for secure and efficient health data analysis
- Blockchain technologies for secure e-health transactions and data sharing
- Edge and fog computing in e-health for latency-sensitive applications
- Threat detection and mitigation strategies for IoT-based healthcare systems
- Energy-efficient IoT devices and communication protocols for e-health
- Interoperability challenges and solutions in IoT-driven healthcare ecosystems
- Real-time remote monitoring systems for patients using IoT
- Emergency response systems leveraging IoT in healthcare
- Case studies of IoT adoption in smart hospitals and telemedicine services
- Standards and policies for IoT security and privacy in healthcare
- Robust network architectures for seamless IoT integration in e-health
- Dr. Sofiane Hamrioui, ESAIP Engineer School, France
- Dr. Pascal Lorenz, University of Haute-Alsace, France
- Dr. Abbas Nasser, USEK Business School, Lebanon
SS-MLHRB: Making the Leap: from Health Research to Business
Within the scope of the IEEE ICTS4eHealth conference, we are proposing a Special Session on Research and Entrepreneurship, which aims to be a forum for the conference participants to discuss the innovation, technology, and societal impact of Health Research.
The proposed Special Session is then focused on stimulating innovation and entrepreneurship among health researchers and offering them opportunities to start, grow, and scale up their ideas for businesses. The ultimate goal is to contribute to developing a Health Research ecosystem and foster a culture of entrepreneurship in the academic Health Research community.
- Artificial Intelligence for Innovation
- Business Models in Health
- Clinical Trials
- Data Analytics for Innovation
- Design Thinking
- Ethics Laws and Regulations in Health
- Innovation in Health
- Innovative Devices and Drugs
- Medical Devices and Drugs Regulation
- Patents and Intellectual Property in Health
- Product Design, Development and Evaluation
- Standardization in Health
- Users’ Understanding and Interaction
- Marta Campos Ferreira, Universidade do Porto, Portugal
- João Manuel R.S. Tavares, Universidade do Porto, Portugal
SS-NCMD: Non-Contact Medical Diagnostics
Measurement of vital stats of the human body such as heart rate, blood pressure, electrocardiogram (ECG), etc is an important part of diagnosing and detecting medical conditions. Conventional methods to measure body parameters involve specialized sensors which need to be placed on the body. Non-contact diagnostics using human speech, facial/body imaging and radar sensors has garnered significant research interest as it can minimize the spread of infection and also allows remote, real-time monitoring of individuals. By applying signal processing and developing appropriate AI models, low-cost and timely healthcare solutions can be designed for early diagnosis of illnesses and tracking the progress of treatment/recovery. Non-invasive, non-contact diagnostics in healthcare can greatly improve the effectiveness and efficiency of healthcare service providers.
TOPICS (but are not limited to):- Vital stats (heart rate, SpO2, BP) monitoring from speech using AI
- Mental health monitoring using speech
- Cognitive and motor analysis through audio and video for neurological diseases monitoring
- Physiological monitoring using patient’s pose estimation and facial expression recognition (FER) analysis
- Non-contact Athletes’ monitoring in sport medicine
- Speech/image/video/radar - sensed data signal-processing using AI for medical diagnosis
- AI based assisted living
- Radar based healthcare monitoring
- Information fusion involving multimodal health datasets (audio, video, and radar sensed data)
- Dr. Mohammed Usman, Bennett University, India
- Dr. Vijayalakshmi Ahanathapillai, University of Warwick, United Kingdom
- Dr. Mohammad Wajid, Aligarh Muslim University, India
ICTS4eHealth Registration Fees:
Please carefully check the registration instructions at https://ieee-iscc.computer.org/2025/registration/
(all prices are displayed in euros) and ARE TO BE CONFIRMED
| Type | Early Registration | Late Registration |
|---|---|---|
| IEEE Member Conference Registration | €380 | €480 |
| Non – IEEE Member Conference Registration | €440 | €540 |
| IEEE STUDENT Conference Registration | €266 | €336 |
| Non – IEEE STUDENT Conference Registration | €308 | €378 |
|
Any administrative/bureaucratic/financial/registration/visa issue is directly managed by the mother conference ISCC.
Therefore, authors can contact ISCC organizers to ask them any question about registration.
Technical Program Committee
TBA
Best Paper Award
A "Best Paper Award" Certificate will be conferred on the author(s) of a paper presented at the conference, selected by the Chairs based on scientific significance, originality and outstanding technical quality of the paper, as assessed also by the evaluations of the members of the Program Committee.
Special Issues
Special Issue on the Affective Impact of Next-Generation Intelligent Health Systems on IEEE Transactions on Affective Computing
Authors of selected papers may be invited to submit extended versions of their papers for publication as full journal papers in the:
- Special Issue on the Affective Impact of Next-Generation Intelligent Health Systems organized in the prestigious indexed journal IEEE Transactions on Affective Computing (Q1 - IF: 9.6).
- Special Issue on Advancements and Applications of the Internet of Things (IoT) in Medicine organized in the indexed journal Frontiers in Medicine (Q1 - IF: 3.1).
Important Dates
Venue
Savoia Hotel Regency
The conference will be hosted at Savoia Regency Hotel.
The other two hotels – Country House
and Sydney – are both close to Regency and managed by the same company: Country House is just in front of Regency (walk 2 minutes by foot); Sydney is about 3 km from Regency.
https://www.savoia.eu/
Bologna, Italy
Capital of the Metropolitan city and of the Emilia-Romagna region, Bologna is located between the Tuscan-Emilian Apennines and the heart of the Po Valley. Due to its position between North and South, East and West, the Adriatic coast as well as cities such as Venice, Florence, Milan, and Rome can easily be reached from Bologna.
City of art, culture, and commerce, with a streamlined trade-fair organization and a well-known manufacturing and motor tradition, Bologna is famous for its almost 40 km of arcades, the longest in the world.
Also called “The Learned” for its old University, and “The Fat” for its food tradition, the city is also a “UNESCO creative City of Music” and has one of the largest and most well-preserved medieval historical centers, full of restaurants, taverns, theaters, and shops.
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