31 August – 2 September 2026 · Athens, Greece
As Artificial Intelligence (AI) drastically reshapes industries globally, its impact on precision healthcare and informatics is vital. Moving beyond traditional approaches, AI facilitates faster and more accurate diagnostics, optimized treatment plans, and intelligent healthcare management, 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 session focuses on the structural and computational foundations of medical intelligence, from deep learning in medical imaging to predictive modeling for disease detection.
University of Gabes, ISGGB, Tunisia / UMA RIADI (LR99ES26), Tunisia
Email: Nacim.yanes@ensi-uma.tn
Exploring AI-driven techniques for medical image analysis, computer-aided diagnosis, and intelligent imaging systems to support faster and more accurate clinical decision-making.
AI models and decision support systems for disease risk prediction, prognosis, personalized treatment planning, and data-driven clinical workflows.
Methods for explainable AI, fairness, robustness, federated learning, and privacy-preserving architectures to enable secure and ethical deployment of AI in healthcare systems.
Computational intelligence techniques for genomics, proteomics, systems biology, drug discovery, and biomedical data mining.
Practical deployment of AI using real-world healthcare data, including EHR analytics, clinical NLP, population health surveillance, and operational optimization in hospitals.
AI-driven approaches for personalized treatment planning, patient stratification, multi-modal data fusion, and precision medicine, enabling tailored therapies and improved patient outcomes.
Program Committee members for the Special Session: Precision AI and Technological Healthcare Informatics (PATH-I)