2026 IEEE International Conference on E-health Networking, Application & Services

HealthCom 2026

New York, New York, USA
19 - 21 October 2026


The rapid convergence of signal processing, computing, communications, and artificial intelligence is transforming modern healthcare systems. Advances in eHealth, telemedicine, intelligent medical devices, and data-driven medical studies are enabling more personalized, efficient, and accessible healthcare services.

This Call for Papers invites original, high-quality research contributions that address theoretical advances, system designs, algorithms, applications, and real-world deployments related to signal/data processing and computing for health systems. Interdisciplinary research and innovative solutions bridging healthcare, engineering, and computing are particularly encouraged.

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## Important Dates

- **Paper Submission Deadline:** 8 June 2026
- **Notification of Acceptance:** 3 August 2026
- **Camera-Ready Papers Due:** 14 September 2026

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## Topics of Interest

Topics include, but are not limited to, the following areas:

### Signal/Data Processing and Computing for Health Systems

- AI and machine learning for eHealth
- Machine and deep learning approaches for health data
- Generative AI for eHealth
- Fog, edge, and cloud computing for wearable medical devices
- Virtual tele-rehabilitation
- Biometric analysis (gait analysis, eye-tracking, fall detection, mHealth)
- Signal processing for early virus detection
- Bioinformatics
- AI for precision medicine
- AI-driven drug discovery and development
- Federated learning for privacy-preserving health data analysis

### Communications and Networking

- Network coding and error detection/correction
- Delay-tolerant, fault-tolerant, and reliable communications
- Quality of Service (QoS) and Quality of Experience (QoE)
- In-hospital networking, body area networks, and cloud-integrated networking
- B5G-based eHealth solutions
- Future network designs and deterministic networking for eHealth
- Semantic communications for eHealth
- Network security for eHealth

### Medical, Biomedical & Health Communication Systems

- Medical imaging, image compression, and detection
- Signal processing, data cleansing, management, and mining
- Smart health and big data
- IoT for eHealth and telemedicine
- eHealth platforms
- Digital platforms for biopharmaceutical clinical trials

### Devices

- Integration of medical devices with eHealth platforms
- Medical device interoperability
- Wearable and implantable devices
- Device security and safety
- Wearable devices for virus infection prevention and detection
- eDrugs and nano-devices in the bloodstream
- Healthcare devices and circuits for AI-enabled systems

### Services and Applications

- eHealth services and applications for physical and mental health
- eHealth services and applications for sports and exercise
- eHealth services and applications for public health (disease prevention, pandemic preparedness)
- eHealth services and applications for extreme environments
- mHealth applications and software
- Quality of Experience (QoE) for eHealth services and applications
- Security, privacy, and trust in eHealth services and applications
- Metaverse and digital twin applications for eHealth
- Decision support systems for eHealth
- Real-time genomic counseling and testing
- Telemedicine services incorporating genetic counseling and testing

### Medical Studies

- eHealth case studies and applications
- eHealth for neurological diseases
- EEG/MEG in brain network analysis
- Telehealth in obstetrics and gynecology
- Cardiology tele-health
- Integration of transcranial magnetic stimulation (TMS) with EEG and functional magnetic resonance imaging (fMRI)

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Researchers, practitioners, and industry experts are invited to submit original contributions and share insights that advance the state of the art in health systems enabled by signal processing, computing, and communications.