Call for Papers

Digital transformation and intelligent society refer to the profound integration of advanced digital technologies—such as artificial intelligence, big data analytics, cloud computing, and the Internet of Things—into every aspect of modern life. This transformation is reshaping how individuals communicate, how organizations operate, and how governments deliver services. By leveraging data-driven insights and intelligent systems, digital transformation enhances efficiency, enables automation, and supports more informed and timely decision-making across sectors including healthcare, education, industry, and public administration. An intelligent society builds upon these capabilities to create interconnected, adaptive, and human-centered environments where technology is used not only to optimize processes but also to improve quality of life, promote inclusivity, and support sustainable development. As digital ecosystems continue to evolve, the synergy between technological innovation and societal needs becomes essential in addressing global challenges and driving long-term economic and social progress.

The International Conference on Digital Transformation and Intelligent Society (DTISO) invites researchers, practitioners, and industry experts to submit their original and high-quality contributions addressing the challenges and opportunities of digital transformation in shaping an intelligent society. DTISO aims to provide a premier platform for discussing innovative ideas, recent advances, and emerging trends in digital technologies and their impact on society, industry, and governance. The conference seeks to bridge the gap between academia and industry by fostering collaboration and knowledge exchange.

Topics of Interest

Original papers on all topics related to Health Medical Systems and Services are welcome, including but not limited to:

Digital Transformation
Digital innovation and strategy
Smart cities and smart environments
Industry 4.0 and 5.0
Digital governance and e-government
Digital economy and business transformation
Artificial Intelligence and Intelligent Systems
Machine learning and deep learning
Natural language processing
Computer vision and pattern recognition
Intelligent decision support systems
Autonomous systems and robotics
Big Data and Data Analytics
Big data architectures and platforms
Data mining and knowledge discovery
Real-time analytics
Data visualization and storytelling
Ethical issues in data usage