Special Issue on Recent Advances in Artificial Intelligence for Biomedical Engineering


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


Authors can submit their manuscripts through the Manuscript Tracking System at:  https://www.rmib.mx/index.php/rmib/about/submissions