Artificial Intelligence and Foundation Models in Biomedical Sensing and Medical Imaging Applications

Dear Colleagues,

The rapid advancement of artificial intelligence (AI) and foundation models is redefining the landscape of biomedical sensing and medical imaging. These technologies are enabling breakthroughs in clinical diagnosis, treatment planning, and personalized healthcare, while also driving innovations in large-scale data integration and translational medicine. This Special Issue invites contributions that highlight both methodological advancements and transformative applications that are reshaping the biomedical ecosystem. We invite original research articles, reviews, and technical notes addressing theoretical innovations, algorithmic developments, and real-world implementations.

Topics of interest include (but are not limited to) the following:

• Foundation models for medical imaging and biomedical sensing;
• Multimodal learning integrating imaging, sensing, and clinical data;
• Self-supervised, weakly-supervised, and zero-shot learning in healthcare;
• AI for disease diagnosis, prognosis, and treatment planning;
• Biomedical signal processing with deep learning;
• Generative models for data augmentation and synthetic imaging;
• Trustworthy AI: bias, fairness, interpretability, and explainability;
• Uncertainty quantification and reliability in clinical applications;
• Edge, cloud, and federated AI for medical sensing and imaging;
• Regulatory, ethical, and translational considerations.

Prof. Dr. Essam A. Rashed
Guest Editor

Manuscript Submission Information

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