The International COnference on Decision Aid and Artificial Intelligence (ICODAI) aims to emphasize the importance of AI in both healthcare and education sectors, fostering knowledge exchange and implementing intelligent decision-support technologies to enhance patient care and educational outcomes. Additionally, the conference seeks to facilitate collaboration between academics and professionals to tackle contemporary issues, while also exploring international cooperation opportunities for young researchers through various initiatives like visits, internships, projects, and training programs.

Topics of interest include, but are not limited to:
• AI-driven diagnostics and predictive analytics
• AI-enhanced medical imaging and interpretation
• Real-time monitoring and management of medical devices through AI
• Natural language processing for clinical decision support systems
• Security and privacy in AI-integrated medical devices
• AI for remote patient monitoring and telemedicine
• Data analytics and visualization for medical device performance
• AI-powered clinical decision support systems.
• Adoption of AI-based Health administrative solutions
• AI-assisted and Interactive Technologies in an Educational Context
• Models of Teaching and Learning
• Game-based learning
• ICT in education
• Virtual learning
• Blended learning
• Equity and Inclusion in Education
• Ethics of AI in Education
• AI Literacy,
• Design, Use, and Evaluation of Human-AI Hybrid Systems for Learning

Authors are invited to submit their papers on topics lying within the scope of the conference. All contributions must be original, which have not been published elsewhere and which are not currently under consideration for another journal, conference or workshop. All accepted papers will be published in the conference proceedings (in progress) and will be submitted to be indexed/abstracted in CPCI (ISI conferences and part of Web of Science), Engineering Index, and Scopus.

Paper submission
Papers should be submitted through easychair system (https://easychair.org/conferences/?conf=icodai2024), and have to comply with Springer LNCS format. Submitted papers should be up to 12 pages in length.
All conference papers undergo a thorough peer review process prior to the final decision and publication