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.