As Artificial Intelligence (AI) is drastically reshaping industries globally, its impact on healthcare and medical informatics is particularly vital. By moving beyond traditional approaches, AI facilitates faster and more accurate diagnostics, optimized treatment plans, and intelligent healthcare management and consequently enhancing patient outcomes and quality of care. This special track aims to bring together researchers, clinicians, data scientists, and industry experts to present and discuss the latest research in AI-powered healthcare systems.
The scope of this track covers deep learning applications in medical images, intelligent diagnostic systems, and predictive modeling for early disease detection. It covers more than just those subjects; it also looks at how machine learning, neural networks, and generative AI models help advance genomics and drug discovery. AI-enabled customized treatment plans based on patient data are also present in this track and are considered as important field in personalized medicine. The track will also highlight the growing expanding use of AI in public health surveillance, including effective healthcare resource management, pandemic preparedness, and outbreak prediction.
This track promotes interdisciplinary collaboration by connecting computer science (AI and ML), medical research, and clinical practice. It aims to address key challenges in healthcare by showcasing innovative solutions and highlighting the impact of cutting-edge technologies through real-world healthcare applications.
Topics
1. AI-based Clinical Decision Support Systems
2. Deep Learning in Medical Imaging
3. Natural Language Processing in Electronic Health Records
4. Machine Learning for Disease Prediction and Risk Assessment
5. AI in Genomic Data Analysis
6. Drug Discovery using Computational Models
7. Personalized and Precision Medicine
8. Wearable Devices and Health Monitoring
9. AI for Epidemic and Pandemic Forecasting
10. Federated Learning in Healthcare
11. Ethical and Legal Aspects of AI in Medicine
12. AI-Enabled Robotics in Surgery and Rehabilitation
Important dates :
- Extended Submission Deadline:
August 15, 202505 September 2025. - Acceptance Notification: August 31, 2025
- Camera-ready and copyright submission : 10 September, 2025
Program Committee
- Dr. Samia Kouki – Higher colleges of Technology, UAE
- Dr. Majed Bouchahma – Higher colleges of Technology, UAE
- Dr. Nacim Yanes– University of Manouba, ENSI, Tunisia
- Dr. Nor Shahriza Abdul Karim – Prince Sultan University, KSA
- Dr. Malika Charrad – University of Paris-Panthéon-Assas, France
- Dr. Heba Khalil – University of Sharjah, UAE
- Dr. Emad Abd Al Rahman – Higher colleges of Technology, UAE
- Dr. Zakea Ilagure – Higher colleges of Technology, UAE
- Dr. Suaad Al Mansouri – Higher colleges of Technology, UAE
- Dr. Amjad Sarhani – Jouf University, KSA
- Dr. Alaa Bessadok – University of Carthage, ISG Bizerte, Tunisia
Paper Submission Details
Manuscripts must be prepared in 10-point font using the IEEE 8.5″ x 11″ two-column conference format.
The papers must be submitted electronically via EasyChair at: https://easychair.org/conferences/?conf=inista2025
Special Track Organizers

Dr. Samia Kouki
Higher Colleges of Technology, UAE
Email: [email protected]

Dr. Majed Bouchahma
Higher Colleges of Technology, UAE
Email: [email protected]

Dr. Nacim Yanes
University of Gabes, ISGGB, Tunisia
UMA, RIADI (LR99ES26), Tunisia
Email: [email protected]

Dr. Malika Charrad
University of Paris-Panthéon-Assas, France
Email: [email protected]