Artificial Intelligence Algorithms in Biomedical Application

Abstract

In recent years, the rapid development of artificial intelligence (AI) has accelerated the development of many social industries. In view of the demand for large data collection and effective medical data processing, AI has undoubtedly become an important part of biomedical research. Medical professionals can accurately diagnose and treat a variety of symptoms in patients with the help of AI algorithms. Modern AI technologies, such as traditional neural networks for structured data and natural language processing for unstructured data, can accurately analyze various medical data. The medical industry uses these AI learning techniques for disease diagnosis, drug discovery, and medical image analysis. Against this backdrop, this paper focuses on the application of AI algorithms in biomedicine and examined cases from biomedical research in addition to the introduction of machine learning, deep learning, and transformer models. Last but not least, we briefly introduce the progress of AI in biomedicine and the difficulties it will encounter.