会议信息

ICDH' 2026: IEEE International Conference on Digital Health

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截稿日期:
2026-03-08
通知日期:
2026-05-10
会议日期:
2026-07-13
会议地点:
Sydney, Australia
浏览: 18124   关注: 0   参加: 1

征稿

ICDH' 2026 (IEEE International Conference on Digital Health) is an academic conference held in Sydney, Australia on 2026-07-13. The paper submission deadline is 2026-03-08. Acceptance notifications are sent on 2026-05-10.

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
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参加人时间
Liu Zhen (18)2022
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