Sensor-Enhanced Medical Imaging for Clinical Diagnostics

Dear Colleagues,

In recent years, the field of medical imaging has undergone a profound transformation, driven by advancements in imaging modalities, artificial intelligence (AI), and sensing technologies. Modern clinical practice increasingly relies on the integration of multimodal imaging data, including MRI, CT, PET, ultrasound, and emerging optical sensors, to provide precise diagnostic insights. Combining complementary information from different sources enables a comprehensive understanding of disease mechanisms, enhances diagnostic accuracy, and supports personalized treatment planning.

Intelligent analysis methods and sensors, including deep learning, radiomics, advanced image reconstruction algorithms, and optical sensors, have unlocked new possibilities for automated detection, segmentation, and prognostic assessment. These innovations have advanced image interpretation and facilitated real-time decision support in clinical workflows. In addition, integrating supplementary non-intrusive sensing technologies, such as infrared imaging, depth cameras, and environmental sensors, can further optimize and expedite scanning workflows while simultaneously enhancing patient comfort and overall experience. Translating these technologies into clinical applications presents both opportunities and challenges, including data standardization, interoperability, and ethical considerations.

This Special Issue aims to compile original research articles, reviews, and case studies that showcase advancements, novel methodologies, and emerging applications in next-generation medical imaging. Contributions are invited that explore the technical, computational, and clinical aspects of multimodal data fusion, intelligent analysis, and their integration into healthcare practice.

Dr. Xiaoyu Cui
Prof. Dr. Yue Zhao
Dr. Dayu Hu
Guest Editors

Manuscript Submission Information

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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.