Special Issue on Recent Advances in Artificial Intelligence for Biomedical Engineering

2023-03-06

Special Issue on

Recent Advances in Artificial Intelligence for Biomedical Engineering

In recent years, bioengineering, biosciences, and many pioneering technologies have future career opportunities for biomedical innovations. Furthermore, recent advances in artificial intelligence (AI) have significantly expanded the possibilities for enhancing biomedical engineering's capabilities.

In this context, Machine Learning and Deep Learning have demonstrated to be promising tools for obtaining new insights from medical-related data, pursuing different objectives, and discovering new solutions that may apply to solving biomedically complex problems in an automated, desirable, and effective manner.

This way, we welcome scholars to submit original papers to this Special Issue to highlight ongoing efforts to explain recent advances in Biomedical Engineering using Artificial Intelligence (AI) techniques, such as Machine Learning (ML) and Deep Learning (DL) algorithms.

This Special Issue welcomes high-quality submissions (research articles, reviews, communications, letters, etc.) that propose original research and discuss recent advances in applying Machine Learning and Deep Learning algorithms to the biomedical area, such as image and signal processing for diagnosis and rehabilitation, among other applications.

Potential topics includes, but are not limited to, the following:

Machine learning and deep learning for biomedical applications
Pattern recognition in biomedical signals/images
Support decision-making for medical diagnoses
Biomedical signal processing and image processing applications
Brain-computer interface (BCI) and Brain-machine interface (BMI)
Digital processing of bioelectric signals: EEG, EMG, ECG, and evoked potential analysis
Digital processing of cardiovascular signals: PPG, PCG, BCG, and SCG
Applications of Artificial Intelligence in pulmonary and cardiovascular medicine
Medical imaging: MRI, CT, X-ray, PET, SPECT,
Machine learning for bio-robotics and biomechanics
Healthcare 4.0 and Healthcare Internet of Things (H-IoT)
Biosensors and medical instrumentation
Biomedical data processing from wearable sensors
Medical Simulation and Devices
Telemedicine applications including security