GAIN-Health Special Sessions 2026

SPECIAL SESSIONS

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.

Research Topics

Generative AI, Synthetic Data, and Simulation

Synthetic medical image generation and 3D data augmentation
Biosignal generation and enhancement (ECG, EEG, EMG, PPG, etc.)
Digital twins, virtual patients, and simulation frameworks
Cross‑modal generation (e.g., text‑to‑image for medical diagnostics)

Clinical NLP, Multimodal Reasoning, and Applications

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.
Multimodal reasoning for clinical decision support
Use cases, Benchmarks, and Real‑World Deployment

Submission Guidelines

Manuscripts should describe original work and should be no more than 7 pages in the IEEE double-column proceedings format, including tables, figures and references.

Download manuscript templates for IEEE conference proceedings.

Papers can be submitted directly to EDAS: TBA

Note that accepted papers up to 6 pages will be published with no additional charge. Exceeding pages will be charged an additional fee. Papers exceeding 7 pages will not be accepted.

At least one author of each accepted paper is required to register to the conference and present the paper. Only registered and presented papers will be published in the conference proceedings.

Accepted papers will be included in the proceedings of ISCC 2026, of which ICTS4eHealth conference is a co-located event, and will be submitted for inclusion to IEEE Xplore. The ICTSeHealth and ISCC proceedings have been indexed in the past by ISI, DBLP and Scopus.

Important dates

PAPER SUBMISSION DEADLINE

March 31th, 2026

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DECISION NOTIFICATION DEADLINE

April 20th, 2026

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