Dear Colleagues,

There exist many biomedical sensors, such as ultrasound sensors, chemical analysis sensors, biomaterial sensors, fluid flow sensors, MRI sensors, etc., in current medical research. These medical sensors are being developed with the help of advanced signal processing techniques. Meanwhile, artificial intelligence (AI) has gained recognition for its success in processing sensor data. Most AI models present impressively predictive accuracies, but they are recognized as “black boxes”. This proposal aims to provide diverse but complementary contributions to demonstrate the new developments and applications for explainable AI in processing medical sensor data.

Dr. Yu-Dong Zhang
Prof. Dr. Juan Manuel Gorriz
Prof. Dr. Yuankai Huo
Guest Editors

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Keywords
machine learning
deep learning
medical sensor
explainable artificial intelligence
medical image analysis
graph neural network
big data
imaging sensors