The Use of Artificial Neural Networks in Biomedical Engineering

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Author(s): Debasish Banerjee (OmDayal Group of Institutions, India), Ranjit Barua (OmDayal Group of Institutions, India), Sudipto Datta (Indian Institute of Science, India)and Dileep Pathote (Indian Institute of Science, India)
Copyright: 2025
Pages: 18
Source title: Expert Artificial Neural Network Applications for Science and Engineering
Source Author(s)/Editor(s): Lingala Syam Sundar (Prince Mohamamd Bin Fahd University, Saudia Arabia), Deepanraj Balakrishnan (Prince Mohammad Bin Fahd University, Saudi Arabia)and Antonio C.M. Sousa (University of Aveiro, Portugal)
DOI: 10.4018/979-8-3693-7250-0.ch002

Keywords: Computer Science & IT / Engineering Science / Engineering Science Reference / Neural Networks

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Abstract

Artificial Neural Networks (ANNs) have brought a great advance in biomedical engineering with their enhanced features in data analysis, pattern recognition, and data modeling systems. Taking advantage of the computational capabilities of ANNs, scientists and engineers have designed new approaches to address some of the most difficult tasks in medicine, such as the diagnosis of diseases, the selection of appropriate treatment regimes, and the establishment of personalized medicine. Advanced numerical neural networks effectively manage diverse, high-dimensional biomedical research data like imaging data or sequences and physiological signals and can provide timely and accurate decisions. This chapter aims to cover the background, the opportunity, and the advancement of the ANNs in biomedical engineering and specifically how this field has and will continue to impact the future of healthcare technology.

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