The International Conference on Digital Health (ICDH) 2026 invites researchers, industry experts, practitioners, and policymakers from around the globe to submit proposals that address pressing issues and emerging trends in digital health. The field has gained much traction recently and broadened beyond desktop experiments and proof-of-concept trials to deployed technologies in clinical, home, and trial environments, making a meaningful difference. As it has, technology demands have increased dramatically while pervasive sensing and powerful capabilities in Artificial Intelligence and other areas have emerged. ICDH 2026 also welcomes forward-looking research that explores how rapidly evolving technologies will shape future digital health systems and practices. ICDH 2026 is a prime international forum to advance the field of digital health, providing a platform for disseminating innovative research, practical solutions, and effective policy frameworks.

The IEEE ICDH proceedings will be indexed by PubMed and DBLP. This will allow the research presented at ICDH to reach a wider medical and clinical audience. Accepted and presented papers will appear in the conference proceedings published by the IEEE Computer Society Press. All submitted manuscripts will be peer-reviewed by at least three reviewers.

Conference will include, but is not limited to, the following topics in Digital Health:

1 Sensor and computing platforms

Sensors: ambient, implants, wearables, novel modalities, multi-modal, nano-scale
Information platforms: Internet-of-Things, Internet-of-Medical-Things, smart buildings, Lab-on-a-Chip
Robotics in Medicine: surgical techniques, rehabilitation, diagnostics, and patient care
Distributed computing
Connectivity: Medical grade wireless protocols, on-body networks

2 Applications

Patient Care and Engagement: hospital resource management, personalized patient care, patient education
Hospital-at-Home platforms and acute care at edge
Remote Patient Monitoring (RPM) services
Mental Health: depression, anxiety and other mental health digital assessment, digital therapy, psychosis prediction, substance use disorders
Neurodegenerative and neurological Diseases: Dementia, Parkinson’s Disease, stroke, multiple sclerosis
Cardio-vascular: Heart Failure, cardiac arrhythmias
Other chronic diseases: Diabetes, digestive disorders, Chronic Pain
Telemedicine, AR/VR
Acute events: seizure detection, myocardial infarction, emergency situations
Aging-in-place: social isolation, comorbidity management
Wellness and Fitness: injury recovery, disease prevention, human performance

3 Algorithms

Generative AI in Healthcare: medical chatbots, synthetic patients, avatars
AI Foundation Models: data, training, applications
Agentic AI and autonomous decision-making in healthcare
Uncertainty-aware and trustworthy AI for digital health
Healthcare digital twins and simulation-based modeling
Data preparation: filtering, imputation
Numerical models: cardiovascular or neural network models
Clinical Trial Design: patient responses and compliance, virtualized arms
Quantum tools: quantum machine learning, quantum feature identification, quantum neuro activity simulations

4 Policy

Health data spaces and federated data governance
Privacy: quantum-safe encryption, homomorphic encryption, architectures for managing sensitive data, data obfuscation,
Ethics of AI doctors and diagnostic agents
Protections for sensitive data
Data monetization
Economics and healthcare insurance of digital solutions
Guidance/regulatory frameworks for digital health
Funding opportunities