Hosted by the 6th IEEE International Conference on ICT Solutions for eHealth
In conjunction with the 31st IEEE Symposium on Computers and Communications (ISCC)

Conference Website: https://icts4ehealth.icar.cnr.it/
Workshop Website: https://mivia.unisa.it/gain2026/
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Important dates
Submission deadline for papers: March 15, 2026
Notification of paper acceptance: March 31, 2026

Workshop date: 23 – 26 June, 2026 – Vilamoura, Algarve, Portugal

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Generative Artificial Intelligence offers impressive opportunities in the next generation e-health systems, having the potential to accelerate clinical research, improve diagnostic accuracy through advanced multimodal analysis, support rare disease studies via high quality synthetic data augmentation, and significantly reduce the administrative burden on clinicians by automating repetitive and time-consuming tasks. The GAIN-Health Special Session aims to provide a focused forum for researchers, practitioners, and industry stakeholders to present advances, share insights, and discuss the challenges and opportunities of applying generative AI to the e-Health ecosystems. The session welcomes innovative models and novel methodologies, real-world applications, and critical perspectives on the responsible use of GenAI in medicine.

Areas of interest:
– Synthetic medical image generation and 3D data augmentation
– Biosignal generation and enhancement (ECG, EEG, EMG, PPG, etc.)
– Digital twins, virtual patients, and simulation frameworks
– Large Language Models and Clinical NLP
– Automated medical report generation
– Conversational agents and LLM based clinical assistants
– Multimodal integration of text, imaging, bio signal etc.
– Cross modal generation (e.g., text to image for medical diagnostics)
– Multimodal reasoning for clinical decision support
– Use cases, Benchmarks, and Real World Deployment

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Contact us at: mgiaquinto@unisa.it

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The organizers,
Prof. Mario Vento
Prof. Alessia Saggese
Dr. Martino Giaquinto
Mr. Simone Bove
Mr. Antonio Vitale

Department of Information Engineering and Electrical Engineering and Applied Mathematics (DIEM), University of Salerno, Italy