Artificial Intelligence for Smart Healthcare: Methods, Applications, and Challenges
A special issue of Future Internet (ISSN 1999-5903). This special issue belongs to the section "Big Data and Augmented Intelligence".
Deadline for manuscript submissions: 31 March 2025 | Viewed by 479
Special Issue Editors
2. Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore 639798, Singapore
Interests: explainable AI; digital health
Interests: AI for medical imaging data; computer vision; multimodal data analysis; health informatics; medical data interpretation; population health
Special Issue Information
Dear Colleagues,
The field of Artificial Intelligence (AI) has a wide range of applications, including sensors, transportation, the Internet of Things (IoT), and finance. The strong influence of AI has also affected the healthcare industry. This may include the use of AI for medical diagnosis, patient stratification, medical robotics, hospital management, and telemedicine.
While AI has shown promise in healthcare systems, there is still a need for the development of smart healthcare systems that exhibit efficient data analysis, explainability, minimal intervention, and deployability in medical settings. By addressing these issues, AI will be able to drive significant advancements in healthcare efficacy and patient outcomes. It is, therefore, important to conduct research on novel AI methodologies, efficient implementation of advanced technology, and strong use cases.
This Special Issue invites contributions in the form of in-depth fundamental and applied research that aims to address AI advancements and technical challenges in the healthcare domain. Potential topics include, but are not limited to, the following research areas:
- Novel infrastructures and protocols for AI healthcare systems;
- Novel AI methodologies for the analysis of medical imaging datasets;
- Techniques for AI in healthcare management;
- Remote healthcare and patient activity monitoring based on AI and IoT methodologies;
- Design and evaluation of AI and IoT technologies for healthcare automation;
- Explainable AI for medical datasets;
- Novel approaches and emerging real-world applications of AI-enabled IoT in healthcare;
- Efficient AI and IoT data analytics techniques in healthcare;
- Methods and deployment of AI and IoT-enabled healthcare systems.
Dr. Xiuyi Fan
Dr. Si Yong Yeo
Dr. Siyuan Liu
Guest Editors
Manuscript Submission Information
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Keywords
- medical imaging analysis
- explainable medical AI
- digital health
- hospital management
- telemedicine
- smart healthcare system
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