The International Conference on Digital Health (ICDH) 2025 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 2025 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. Key topics include:

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: 5G technology, on-body networks

Applications

    Patient Care and Engagement: hospital resource management, personalized patient care, patient education
    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

Algorithms

    Generative AI in Healthcare: medical chatbots, synthetic patients, avatars
    AI Foundation Models: data, training, applications
    Data preparation: filtering, imputation
    Numerical models: cardiovascular or neural networks models
    Clinical Trial Design: patient responses and compliance, virtualized arms
    Quantum tools: quantum machine learning, quantum feature identification, quantum neuro activity simulations

Policy

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