Special Session: Applications of Artificial Intelligence in Healthcare
Aim and Scope
The recent surge in Artificial Intelligence (AI) has revolutionized various aspects of healthcare, offering immense potential for improved diagnosis, treatment, and overall health management. This special session delves into this exciting potential by exploring the applications of AI in healthcare, aiming to improve diagnosis, treatment, and overall health outcomes. The session aims to bring together researchers, practitioners, and healthcare professionals to share their latest advancements, exchange ideas, and foster collaborations in this rapidly evolving domain.
Topics of Interest
- AI-powered medical imaging analysis for disease diagnosis and prognosis (e.g., cancer detection, radiology)
- Machine learning for personalized medicine and patient stratification
- AI-driven drug discovery and development
- Applications of AI in genomics and personalized medicine
- AI for mental health assessment and therapy (e.g., sentiment analysis for mood detection, chatbots for CBT support, AI-powered screening tools)
- Big data analytics and AI for public health surveillance and outbreak prediction
- Ethical considerations and challenges in AI-driven healthcare applications
- Explainable AI (XAI) for healthcare: improving transparency and trust
- Real-world case studies and implementation of AI solutions in healthcare settings
Accepted papers from the special session will be published in the conference proceedings and indexed in relevant databases.
Submission Guidelines
Prospective authors are invited to submit original, high-quality papers relevant to the application of AI in healthcare. Papers must conform to the instructions for double-blind review, and should not exceed a maximum length of 6 pages. All submissions will undergo a rigorous peer-review process to ensure the quality and relevance of the accepted papers.
Authors should electronically submit their papers through the conference submission system at https://cmt3.research.microsoft.com/MAPR2024/Track/5/Submission/Create (MAPR2024 - AI in Healthcare track has been selected). Detailed instructions on the submission process and guidelines can be found on the conference website.
Special Session Organizers:
Hai Vu, HUST, Vietnam
Thanh-Duc Ngo, UIT, Vietnam