AI, Security for Digital Health

Dear Colleagues,

Recent advances in artificial intelligence (AI) have resulted in significant improvement in digital healthcare systems, which are capable of automated diagnosis and identifying the prognosis of complex diseases. Much of the research work to improve digital healthcare systems involves interdisciplinary research including artificial intelligence, medical image processing, data mining, health informatics, data science, machine/deep learning-based algorithms, models and software tool developments and applications. Most of these technologies and models rely on the big data collected from patients, including medical signals (EEG, ECG) and imaging (MRI, fMRI), as well as data from sensor and electronic health records (HER). Since AI technology and algorithms rely heavily on collecting large amounts of data to train models, security and patient privacy concerns remain a key concern in the healthcare sector when it comes to AI.

In the last decade, there has been a surge in interest in information security. Cyber attacks in the manufacturing and consumer industries, including supply chains, have been extensively reported, and current cyber attacks in the healthcare sector are alarming. There is evidence of increasingly sophisticated attacks, but there is also evidence that the application of disruptive technologies such as AI, blockchain, and refined modelling can help.

In this Special Issue, we aim to highlight new theories and applications of artificial intelligence in digital healthcare, as well as research on digital health security. Research, review and survey articles on the following topics are encouraged for submission: 

• Artificial intelligence;
• Computer vision;
• Machine learning;
• Deep learning;
• MRI/fMRI imaging;
• EEG/ECG;
• Medical image analysis;
• Digital health;
• Health informatics;
• Clinical informatics
• Data mining;
• Text mining;
• Natural language processing;
• Bioinformatics;
• Systems biology;
• Computational biology;
• Data science;
• AI-based automated decision-making systems;
• Cyber-security;
• Digital Security;
• Privacy and the security of health data;
• Blockchain and trust;
• Cyber resilience;
• Cyber security in healthcare;
• Policy and guidelines of security;
• Holistic cyber security approaches

Dr. Mohammad Ali Moni
Dr. Khondokar Fida Hasan
Guest Editors

Manuscript Submission Information

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