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 fourth 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.

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: https://www.ieee.org/conferences/publishing/templates.html

Papers can be submitted directly to EDAS: https://edas.info/N32201

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 ISCC 2024, of which ICTS4eHealth conference is a co-located event, and will be submitted for inclusion to IEEE Xplore. The ICTSeHealth and ISCC proceedings have been indexed in the past by ISI, DBLP and Scopus.

The Steering Committee of IEEE ICTS4eHealth 2024 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 icts4eHealth@icar.cnr.it , using the following template:

• 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: February 26, 2024 - EXPIRED
• Notification of acceptance: February 29, 2024- EXPIRED

Accepted Special Sessions:

SS-GAIMHS: Generative AI for Medical and Healthcare System

Over time, there has been increased development and interest in the use of generative AI. Even in the medical field, researchers have proposed and continue to propose the use of generative AI for various tasks. Patient records are hard to come by, medical data available to researchers are often few, unbalanced and incomplete. These types of problems can be addressed by using generative models for data augmentation. Generative AI is also the basis of modern chatbots, which can prove to be a useful support tool in the medical field. Other fields where the use of Generative AI is becoming more widespread are medical image reconstructions and enhancements, which for example can be resolution enhancement, noise reduction, occlusion removal, and more in medical images. An important issue for high-risk problems, such as the medical field, is the need to develop and use explainable AI models at the expense of black-box models; Generative AI models are not exempt from this obligation. The goal of this special session is to give researchers an opportunity to present and discuss their work proposing the use of generative AI for medical and health applications, while also providing some food for thought for future research directions.

TOPICS (but are not limited to):

• Data Augmentation with Generative Models
• Explainability and Interpretability in Generative AI
• Generative Natural Language Models for Clinical Decision Support
• Super Resolution, Colorization and Inpainting in Medical Imaging
• Reconstruction and Denoising of Medical Resonance Images (MRI) or Computed Tomography (CT)
• Generative AI for Patient Data Sharing Problems
• Image segmentation in Medical Imaging
• Weakly supervised approaches in Generative AI for Medical Systems
• Image translation and domain adaptation of Medical Imaging
• Image reconstruction from Medical instruments
• Anomaly Detection in Medical Imaging using Generative AI
• Issues and Challenges in Generative AI for Medical and Healthcare System
• Generative AI for real-world Healthcare scenarios

co-Chairs:

• Vincenzo Bevilacqua, ICAR-CNR, Italy
• Prof. Angelo Ciaramella, University of Naples "Parthenope", Italy
• Antonio Di Marino, ICAR-CNR, Italy
• Dr. Emanuel Di Nardo, University of Naples "Parthenope", Italy