Call for Papers & Participation β Special Session on Intelligent E-Health (IEEE ISSATK 2026)
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We are pleased to invite you to participate and submit your research work to the Special Session on Intelligent E-Health: Leveraging Data for Digital Health Transformation and eXplainability, to be held as part of IEEE ISSATK 2026.
This special session aims to bring together researchers, healthcare professionals, and industry experts to discuss recent advances in data-driven digital health, with a strong focus on explainable AI, trustworthy deep learning, multimodal data integration, Generative AI, and Large Language Models (LLMs) for healthcare applications.
Special Session Chairs
• Pr. Ketan Kotecha, Symbiosis international university, India
• Dr. Raouia Mokni, University of Gabes, Tunisia
• Dr. Boudour Ammar, University of Sfax, Tunisia
• Dr. Amal Jlassi, University of Tunis ElManar, Tunisia
• Pr. Ketan Kotecha, Symbiosis international university, India
• Dr. Raouia Mokni, University of Gabes, Tunisia
• Dr. Boudour Ammar, University of Sfax, Tunisia
• Dr. Amal Jlassi, University of Tunis ElManar, Tunisia
Topics of interest include (but are not limited to):
- Data science techniques for explainable healthcare models
- Interpretable machine learning for clinical decision support
- Transparent AI in medical imaging and diagnostics
- LLM applications in healthcare documentation and knowledge systems
- Ethical and privacy-preserving frameworks for healthcare data
- LLM and multimodal AI for clinical reasoning and diagnosis
- Federated and privacy-preserving learning for distributed clinical data
- Real-time clinical decision support using multimodal streaming data
- Human-centered design for trustworthy health AI
- Regulatory compliance and validation of explainable AI solutions
Important Dates
- Full paper submission: 20 January 2026
- Notification of acceptance: 10 February 2026
- Camera-ready submission & registration: 20 February 2026
Contact: IntelligentEhealth@gmail.com
https://issatk2026.sciencesconf.org/
Papers should be submitted via the EasyChair system and assigned to the track: “Intelligent E-Health: Leveraging Data for Digital Health Transformation and eXplainability”
All submitted papers must be formatted in the standard 2-column IEEE Proceedings format. The standard page limit for each paper is 6 pages. Fee for extra pages will be added to the registration fees. Each paper will be reviewed by at least three reviewers. Papers will be selected based on their originality, relevance, technical clarity, and presentation. The proceedings will be submitted to IEEE Xplore. Paper format and styles are available for download: https://www.ieee.
We warmly encourage your participation and look forward to your valuable contributions to this special session.
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