Biomedical Applications of Multimodal Imaging Combined with Artificial Intelligence

Dear Colleagues,

This Special Issue explores integrating multimodal imaging techniques with artificial intelligence (AI) to advance biomedical applications. It highlights the potential of combining various multimodal imaging modalities, such as MRI, CT, PET, and ultrasound, and provides comprehensive insights into biological tissues' anatomical and functional aspects. Combined with AI algorithms, these imaging techniques can significantly enhance disease diagnosis, treatment planning, and patient monitoring accuracy and efficiency.

This Special Issue explores integrating AI techniques with image modality systems to revolutionize biomedical applications. It aims to present work from researchers and practitioners from multidisciplinary backgrounds and discuss the latest advancements, challenges, and future prospects in this rapidly growing field.

Topics of interest within this Special Issue include, but are not limited to, the development and evaluation of novel AI algorithms in biomedical imaging, the application of machine learning techniques to enhance detection and diagnosis accuracy, the utilization of deep learning architectures for integrating multimodal imaging, the integration of AI technologies into medical decision making, and the impact of AI on diagnosis and treatment planning.

This Special Issue features a collection of cutting-edge research articles, case studies, and reviews that demonstrate the innovative applications of AI-driven multimodal imaging in various biomedical domains.

Prof. Dr. Muhammad Umair Ali
Guest Editor

Manuscript Submission Information

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