Special Issue – AI-Driven and Multimodal Innovations in Biomedical Imaging and Sensing

Special Issue – AI-Driven and Multimodal Innovations in Biomedical Imaging and Sensing

About the special issue

The key intention of this special issue is to provide an open platform for scientists, researchers and academicians across the globe to promote, share, and discuss various aspects of medical diagnostics, treatment planning, and healthcare monitoring. At the forefront are cutting-edge imaging techniques, including ultra-high-resolution magnetic resonance imaging (MRI) and positron emission tomography (PET), redefining early disease detection and surveillance. Adopting artificial intelligence, machine learning, and deep learning algorithms further magnifies these developments, enabling accurate image analysis and predictive diagnostics. AI-powered imaging tools enhance the precision of disease detection, reducing time consumption in diagnosis and allowing timely interventions.

Scope

In this special issue, we invite scientists, researchers and academicians throughout the globe to submit original unpublished research works and review an article. The topics of interest are broad, including but not limited to the related sub-topics listed below:

Applications of deep learning for image analysis and interpretation
Machine learning and deep learning algorithms for predictive diagnostics
AI-driven image reconstruction and enhancement techniques
Applications of hybrid imaging modalities (e.g., PET/CT, PET/MRI)
Multimodal imaging for neuroimaging and cancer diagnostics
Smartwatches and wearable devices for cardiovascular monitoring
IoT-enabled health monitoring systems for real-time data acquisition and analysis for patient monitoring
Ensuring patient privacy and data security in biomedical imaging
Ethical implications of AI and machine learning in medical diagnostics
Applications of advanced sensing technologies in personalized medicine
Advanced neuroimaging techniques for studying brain connectivity
Emerging trends in biomedical imaging and sensing research

Manuscript Submission Information

Manuscripts should be submitted online or via email. Research articles, review articles, as well as short communications, are invited. Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere. All manuscripts undergo a double-blind peer review. A guide for authors and other relevant information for the submission of manuscripts are available on the Instructions for Authors page.

Submitted manuscripts should be well formatted as per the guidelines of the journal, please read the instructions for the authors before submission.

Note: Please note that if the article is for a special issue; it should be mentioned in the comments section while submitting the article online.

Guest Editors

Dr. Prabhishek Singh
School of Computer Science
Engineering and Technology,
Bennett University, Greater
Noida, India.
Email addresses: prabhisheksingh1988@gmail.com, prabhishek.singh@bennett.edu.in