1st Edition
Scalable Artificial Intelligence for Healthcare Advancing AI Solutions for Global Health Challenges
Table of Contents
1. AI in Healthcare: Addressing Challenges and Enabling Transformation
Houneida Sakly, Ramzi Guetari, Naoufel Kraiem and Mourad Said
2. Fundamental Principles of AI Scalability in Healthcare
Abdallah Ahmed Wajdi, Houneida Sakly, Ramzi Guetari and Naoufel Kraiem
3. Architectures for Scalable AI in Healthcare
Houneida Sakly, Ramzi Guetari, Naoufel Kraiem and Mourad Abed
4. Big Data and AI Solutions for Transforming Healthcare: Frameworks, Challenges, and Future Directions
Houneida Sakly, Ramzi Guetari, Naoufel Kraiem and Mourad Abed
5. Scalable Machine Learning for Healthcare: Techniques, Applications, and Collaborative Frameworks
Alaa Eddinne ben hmida, Houneida Sakly, Ramzi Guetari and Naoufel Kraiem
6. Deployment and continuous integration of AI in healthcare
Houneida Sakly, Ramzi Guetari and Naoufel Kraiem
7. AI Performance Optimization for Healthcare
Houneida Sakly, Ramzi Guetari and Naoufel Kraiem
8. Scaling AI Capabilities and Establishing a Roadmap for Sustainable Growth in Healthcare
Houneida Sakly, Ramzi Guetari and Naoufel Kraiem
9. Governance, Lessons, and Future Trends for Scalable AI in Healthcare
Houneida Sakly, Ramzi Guetari, Naoufel Kraiem and Mourad Said
Biography
Houneida Sakly is an Assistant Professor at CRMN in Tunisia’s Sousse Techno Park. Holding a Ph.D. from ENSI in partnership with French universities (Gustave Eiffel University –ESIEE-Paris and Polytech-Orléans), she specializes in data science applied to healthcare. She collaborates with Stanford and is certified by MIT-Harvard in healthcare innovation.
Ramzi Guetari is an Associate Professor of Computer Science at the Polytechnic School of Tunisia. He achieved his Ph.D. at the University of Savoie, France, worked at the INRIA, contributed to W3C standards, and now studies AI and machine learning, collaborating with international organizations and companies.
Naoufel Kraiem is a Full Professor of Computer Science with 32 years in academia. He earned his Ph.D. at the University of Paris 6 and Habilitation from Sorbonne University. His research spans IT, data science, and software engineering, supported by the CNRS, INRIA, and EU programs, with over 147 publications.
