The healthcare industry has grown significantly due to various factors, including an ageing population, a rise in chronic diseases, and technological advancements. Wireless communication and mobile computing have significantly impacted the healthcare sector, with technology constantly evolving through the development of new technologies such as 5G, the Internet of Things, robotics, and smart buildings. Incorporating these innovations, along with e-health, m- health, edge computing, software-defined networks and network function virtualization, have further transformed the industry. The conflict in Europe and other issues such as COVID-19 recovery and pandemic preparedness have slowed the progress towards improving global health governance and outcomes. New challenges continue to arise and must be addressed. In addition, integrating innovative technology involves numerous complexities and requires sound solutions to ethical, legal, social, and security challenges to achieve socio-technical alignment and societal acceptance. The goal of MobiHealth 2026 is to bring together individuals and organizations worldwide working in wireless communication, mobile computing, and healthcare applications to share ideas, explore innovative and emerging solutions, and build collaborations.

Medical, Communications and Networking:
– Medical edge computing
Medical internet of things
– Health IT Infrastructure
– QICS-Qualitative Intelligence and Communication Systems
– RTLS – Real-Time Location Systems
– Converged networks and applications
– Network and services virtualization
– Quality of Service (QoS) and Quality of Experience (QoE)
– Software-Defined Networking (SDN) and network management
– Delay-tolerant, fault-tolerant and reliable communication
– In-hospital networking, body area networking and cloud-integrated networking
– Nanoscale/molecular communications
– Network coding and error detection/correction
– Resilience and robustness communications
– Data Security and Protection
– Digital Imaging and Communications in Medicine (DICOM).Biomedical, and Health Informatics:

Bioinformatics:
– HCI – Human Computing Interaction
– CDSS- Clinical Decision Support Systems
– ePrescription
– eTherapy
– Medical Dictation
– Interoperability for personal Health systems
– Data preprocessing, cleansing, management and mining
– Data quality assessment and improvement
– Medical imaging
– Computer-aided detection, hypothesis generation and diagnosis
– Evidence-based medicine
– Evolutionary and longitudinal patient and disease models
– Clinical workflow
– Medication adherence and health monitoring
– Smart health and big data
– Methods for inputting, transmitting and processing data for e- health

Multimedia e-health data exchange services.Signal/Data Processing and Computing For Health Systems:
– Big data models, theories, algorithms, approaches, solutions
– Machine learning, data mining, web mining, and graph mining
– Deep Learning for Health
– Wearable sensors for patients monitoring
– Virtual rehabilitation (stroke, Parkinson disease, Alzheimer disease, multiple sclerosis)
– Telemedicine for aging
– Gait analysis (arm swing, balance, posture control)
– Eye-tracking
– Falls (detection, tracking)
– Smart building for future of health and the wellbeing
– Neuromodulation
– Medical Speech/Voice Recognition Systems
– mHealth and Mobile Device Software for Healthcare

– Cancer (screening and diagnosis)
– Assistive Technology and Enhanced Living Environment (ELE)

Complex systems and optimal pandemic control.Health Information Systems: 
– Health Information Systems
– Patient Relationship Management
– Health Information Exchange Solutions
– Medical Semantic Web
– Medical  Patient Scheduling Software
– Medication Administration Systems
– Healthcare Information Systems Integration, Interoperability &Connectivity solutions
– Medical Records & Document Scanning
– Ethics and Social Impact of Information Systems and New Challenges
– Clinical Reporting Systems
– Nursing Informatics
– Personal Health Records
– Picture Archiving and Communication Systems (PACS)
– Building Information Modelling (BIM) for healthy buildings
– The role of IT to a safe building construction.

Springer – LNICST series

All registered and presented papers will be submitted for publishing by Springer – LNICST series and made available through SpringerLink Digital Library: MobiHealth proceedings. This series is indexed in leading indexing services, such as Web of Science, Compendex, Scopus, DBLP, EU Digital Library, Inspec, SCImago and Zentralblatt MATH.

Available journals

The article’s publication is subject to the following requirements:  

• It must be an extended version of the conference paper with a different title and abstract. In general, 30% of new content must be added.
• The article will be processed once the conference proceedings have been published.
• The article will be processed using the fast-track option.

Once the conference proceedings are published, the corresponding author should contact us at [email protected] with the details of their article to begin processing.

Additional publication opportunities

• EAI Transactions series (Open Access)
• EAI/Springer Innovations in Communications and Computing Book Series
  (titles in this series are indexed in Ei Compendex, Web of Science & Scopus)

EAI is an open community dedicated to creating an environment where every member receives the same opportunities and benefits to develop and grow their research mission and career. As the largest free professional research society in the world, EAI offers a complete range of conference proceedings publication opportunities. Based on the qualification of the conference and the conference scope, EAI provides the possibility to publish the proceedings for every sponsored conference. Consistent with its mission to support developing communities, all EAI sponsored conferences appear in EUDL, the European Union Digital Library (EUDL). EUDL is Open Access and free for EAI members, reaching a community of 250,000 subscribers and providing the visibility that allows the conference organisers to develop the conference into a fully fledged indexed proceedings publication in subsequent years.

1. Go to Confy+ website.
2. Log in or sign up as a new user.
3. Select your desired track.
4. Click the ‘Submit Paper’ link within the track and follow the instructions.

• All papers must be submitted in English. 

• Submitted PDFs should be anonymized.

• Previously published work cannot be submitted, nor can it be concurrently submitted to any other conference or journal. These papers will be rejected without review. 
• Papers must follow the Springer formatting guidelines (available in the Author’s Kit section). 
• Authors must read and agree to the Publication Ethics and Malpractice Statement.
• As per new EU accessibility requirements, going forward, all figures, illustrations, tables, and images should have descriptive text accompanying them. Please refer to the document below, which will assist you in crafting Alternative Text (Alt Text)

HOW TO WRITE GOOD ALT TEXT

Papers should be submitted through EAI ‘Confy+‘ system, and have to comply with the Springer format (see Author’s kit section).

• Regular papers should be up to 12-15+ pages in length.
• Short papers should be 6-11 pages in length.

All conference papers undergo a thorough peer review process prior to the final decision and publication. This process is facilitated by experts in the Technical Program Committee during a dedicated conference period. Standard peer review is enhanced by EAI Community Review which allows EAI members to bid to review specific papers. All review assignments are ultimately decided by the responsible Technical Program Committee Members while the Technical Program Committee Chair is responsible for the final acceptance selection. You can learn more about Community Review here.

Full information: https://www.springernature.com/gp/partners/rights-permissions-third-party-distribution 

AI Authorship Policy

Large Language Models (LLMs), such as ChatGPT, do not currently satisfy our authorship criteria. Notably an attribution of authorship carries with it accountability for the work, which cannot be effectively applied to LLMs. We thus ask that the use of an LLM be properly documented in the Acknowledgements, or in the Introduction or Preface of the manuscript.

The use of an LLM (or other AI-tool) for “AI assisted copy editing” purposes does not need to be declared. In this context, we define the term “AI assisted copy editing” as AI-assisted improvements to human-generated texts for readability and style, and to ensure that the texts are free of errors in grammar, spelling, punctuation and tone. These AI-assisted improvements may include wording and formatting changes to the texts, but do not include generative editorial work and autonomous content creation. In all cases, there must be human accountability for the final version of the text and agreement from the authors that the edits reflect their original work. This reflects a similar stance taken on the AI generative figures policy, where it was acknowledged that there are cases where AI can be used to generate a figure without being concerned about copyright e.g. to generate a graph based on data provided by the author. 

AI Authorship Guidance

Authors should familiarise themselves with the current known risks of using AI models before using them in their manuscript. AI models have been known to plagiarise content and to create false content. As such, authors should carry out due diligence to ensure that any AI-generated content in their book is correct, appropriately referenced, and follow the standards as laid out in our Book Authors’ Code of Conduct.

AI-generated Images Policy

The fast-moving area of generative AI image creation has resulted in novel legal copyright and research integrity issues. As publishers, we strictly follow existing copyright law and best practices regarding publication ethics. While legal issues relating to AI-generated images and videos remain broadly unresolved, Springer Nature journals and books are unable to permit its use for publication.

Exceptions:

• Images/art obtained from agencies that we have contractual relationships with that have created images in a legally acceptable manner.
• Images and videos that are directly referenced in a piece that is specifically about AI and such cases will be reviewed on a case-by-case basis.
• The use of generative AI tools developed with specific sets of underlying scientific data that can be attributed, checked and verified for accuracy, provided that ethics, copyright and terms of use restrictions are adhered to.

Papers must be formatted using the Springer LNICST Authors’ Kit.

Instructions and templates are available from Springer’s LNICST homepage:

• LaTeX2e Proceedings Templates (zip)
• Microsoft Word Proceedings Templates (zip)

Please make sure that your paper adheres to the format as specified in the instructions and templates.

When uploading the camera-ready copy of your paper, please be sure to upload both:

• a PDF copy of your paper formatted according to the above templates, and
• an archive in .ZIP file, containing LaTeX or Word source material prepared according to the above guidelines.