Visualization and Artificial Intelligence for Medicine, Healthcare, and Social Good
The 4th Symposium on Visualization and Artificial Intelligence for Medicine, Healthcare, and Social Good (AIMH 2025) 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:
- 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.
- 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.
- 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.
- 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.
For submission guidelines, visit the page the submission page.
For general enquiries, and submissions, contact the Conference Coordinator.
For Symposium-specific enquiries reach out to each symposium coordinator:
Urska Cvek (Prof.), Louisiana State University USA, ucvek@lsus.edu
Marjan Trutschl, Sc.D., Louisiana State University USA, mtrutsch@lsus.edu
Heimo Mueller, Ph.D., Medical University Graz AT, heimo.mueller@medunigraz.at
Harri Siirtola , (TAU) harri.siirtola@tuni.fi
Wai Lok Woo (Prof.), Artificial Intelligence and Digital Technology Research Cluster, wailok.woo@northumbria.ac.uk
Rita Francese, Università degli Studi di Salerno | UNISA ITALY, francese@unisa.it
Veronica Rossano, University of Bari, ITALY, veronica.rossano@uniba.it