AI and Digital Health for Disease Diagnosis and Monitoring, 2nd Edition

Dear Colleagues,

We are pleased to invite you to contribute to our Special Issue, "AI and Digital Health for Disease Diagnosis and Monitoring, 2nd Edition." Chronic diseases, such as cancer, cardiovascular disease, diabetes, and chronic respiratory conditions, pose significant long-term health challenges and economic burdens worldwide. The integration of Artificial Intelligence (AI) and digital health technologies into healthcare has shown immense potential in revolutionizing the diagnosis, monitoring, and prediction of these chronic conditions. By leveraging AI and digital tools, we can enhance early diagnosis, personalize treatment plans, and improve patient outcomes. This Special Issue aims to bring together cutting-edge research that explores the application of AI and digital health in disease diagnosis and monitoring, offering innovative solutions to these persistent health challenges.

This Special Issue aims to provide a comprehensive overview of the advancements and challenges in the application of AI and digital health for disease diagnosis, monitoring, and prediction. We seek to explore how these technologies can be effectively utilized to improve the accuracy, efficiency, and scalability of chronic disease management. Aligning with Diagnostics' focus on technological innovations and their impacts on health outcomes, this Special Issue will contribute to the ongoing discourse on the transformative potential of AI and digital health in healthcare. We encourage submissions that offer novel insights, propose new methodologies, and present real-world applications in clinical and diagnostic contexts.

In this Special Issue, original research articles and reviews are welcome. Research areas may include (but are not limited to) the following:

• AI-based diagnostic tools for chronic diseases;
• Machine learning and deep learning models for disease prediction and progression monitoring;
• Real-time monitoring systems using digital health technologies;
• AI-driven personalized treatment plans and decision support systems;
• Integration of AI with wearable devices and mobile health technologies;
• Big data analytics and digital biomarkers in disease diagnosis and management;
• AI applications in public health for disease prevention and early detection.

We look forward to hearing from you.

Dr. AKM Azad
Dr. Mohammad Ali Moni
Dr. Hussain Mohammed Dipu Kabir
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Diagnostics is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.