Review of Integration of Machine Learning Techniques in Biomedical Engineering: Enhancing Diagnosis, Treatment, and Healthcare Systems

Abstract

The extensive influence of biomedical engineering's use of AI and ML on healthcare systems, diagnosis, and therapy are the primary foci of this review. By sifting through mountains of data in search of patterns, machine learning algorithms have utterly transformed biological applications. Medical imaging analysis, illness diagnosis and prognosis, individualized treatment planning, medication development, healthcare administration, and other critical areas where machine learning improves biomedical engineering are scrutinized in this study. It lays forth the revolutionary possibilities of machine learning in healthcare delivery, patient outcomes, and precision medicine (drug development) via an exhaustive literature analysis. In addition, it suggests ways forward for study and application while tackling problems including data quality, interpretability, and ethical concerns.