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MediViz 2026 : 5th International Symposium on Visualization and Artificial Intelligence for Medicine, Healthcare and Social Good

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Link: https://iv.csites.fct.unl.pt/uk/symposia/medivis/aimh/
 
When Jul 28, 2026 - Jul 31, 2026
Where London
Submission Deadline Mar 30, 2026
Notification Due May 15, 2026
Final Version Due Jun 1, 2026
Categories    ai in medical visualization   healthcare data analytics   ai for social good   emerging technologies in visua
 

Call For Papers

The 5th Symposium on Visualization and Artificial Intelligence for Medicine, Healthcare, and Social Good (AIMH 2026) is dedicated to exploring the integration of Artificial Intelligence (AI) and visualization techniques to address contemporary challenges in medicine, healthcare, and societal well-being. We invite original research contributions that focus on innovative applications of AI and visualization across these critical domains.

Symposium Themes:

1. AI in Medical Visualization:
Advanced visualization techniques for complex medical data.
AI-driven diagnostic tools and decision support systems.
Visualization of predictive analytics in patient care.
Integration of AI in medical imaging and radiology.

2. Healthcare Data Analytics:
Visualization of electronic health records (EHR) and patient data.
AI-enhanced monitoring of health-related activities.
Data-driven approaches to public health visualization.
Visualization of health disparities and social determinants.

3. AI for Social Good:
AI applications promoting equality, inclusion, and human rights.
Visualization tools supporting education, mobility, and environmental sustainability.
AI-driven solutions for individuals with special needs.
Systems and devices enhancing social welfare through AI.

4. Emerging Technologies in Visualization:
Immersive visualization using Virtual Reality (VR) and Augmented Reality (AR).
Multisensory data representation integrating haptics and sonification.
Real-time visualization of streaming healthcare data.
User-centered design and evaluation of AI-driven visualization tools.

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