Machine Learning Applications in Biomedical Engineering

Dear Colleagues,

Advancements in computational power have led to the development of machine learning (ML)-based models and techniques. Moreover, ML-based systems and algorithms have had a significant impact on the study of medical phenomena because they can be used to analyze biomedical signals, thereby improving diagnostic accuracy. Innovative applications that utilize linear and logistic regression, decision trees, support vector machines, k-means, KNN, random forests, and Bayesian algorithms, among other methods, require multidisciplinary approaches that combine the expertise of both engineering and medical professionals. The application of biomedical signal processing and analysis not only enhances the reliability of diagnostics, but also deepens our understanding of "human systems." In summary, modern machine learning-based devices contribute to improving quality of life. 

Conditions such as muscle or speech impairments, diseases, and other abnormalities can severely affect daily living and have substantial social and economic repercussions. In biomedical contexts, advanced signal processing methods that utilize machine learning techniques can significantly improve the everyday communication and activities of patients with this category of impairment or illness. Some popular biomedical engineering applications include prosthetic limbs, 3D organ printers, and medical imaging technology (e.g., MRI, CT scan, ultrasound). 

The main topics of this Special Issue include, but are not limited to, the following:

• Biomedical-based ML models;
• Biomedical instrumentation;
• Development of new biomaterials and tissue engineering;
• Bioelectromagnetism and biomechanics;
• Acquisition, filtering, and processing of biomedical signals;
• ML applications in diagnostics, health monitoring, and medical assistance;
• Practical applications for health monitoring and wearable devices.

Dr. Joško Šoda
Prof. Dr. Igor Vujović
Dr. Hrvoje Dodig
Guest Editors

Dr. Ivana Golub Medvešek
Guest Editor Assistant

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