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