Applications of Artificial Intelligence in Biomedical Fields: An Overview

Abstract

Large-scale biomedical data sets are analysed by artificial intelligence (AI), such as machine learning and deep learning, which helps with disease diagnosis, prognosis, and treatment. Medical photos, genomic data, electronic health records, and clinical notes are just a few examples of the types of complex data that AI algorithms can handle effectively to derive insightful information and support evidence-based decision-making. AI algorithms have been used in the field of medical imaging to improve the precision and effectiveness of picture interpretation, enabling the early diagnosis of diseases including cancer, Alzheimer's, and cardiovascular disorders. Additionally, AI-driven image analysis has aided in the creation of individualised treatment plans and improved radiology workflows. Biomedical research is not an exception. Artificial intelligence (AI) has emerged as a transformational technology with enormous potential to revolutionise different industries. This study presents an overview of AI's biological applications, highlighting the variety and significance of its contributions.