Machine Learning Applications in Biomedical Engineering: Revolutionizing Healthcare

Abstract

Machine learning (ML) has emerged as a powerful tool in biomedical engineering, transforming healthcare delivery and patient outcomes. This article explores the diverse applications of ML in biomedical engineering, ranging from medical imaging and diagnostics to personalized treatment strategies. By leveraging large datasets and sophisticated algorithms, ML algorithms have enabled the extraction of valuable insights from complex biomedical data, leading to enhanced disease detection, prognostication, and treatment optimization. This paper provides a comprehensive overview of the current state-of-the-art ML techniques in biomedical engineering and discusses their potential impact on revolutionizing healthcare.