Artificial Intelligence Algorithms in Biomedical Application

Yuehua Song
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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.
人工智能算法在生物医学中的应用
近年来,人工智能(AI)的快速发展加速了许多社会行业的发展。鉴于对大数据采集和有效医疗数据处理的需求,人工智能无疑已成为生物医学研究的重要组成部分。医疗专业人员可以在人工智能算法的帮助下准确诊断和治疗患者的各种症状。现代人工智能技术,如用于结构化数据的传统神经网络和用于非结构化数据的自然语言处理,可以准确分析各种医疗数据。医疗行业将这些人工智能学习技术用于疾病诊断、药物发现和医学图像分析。在此背景下,本文重点介绍了人工智能算法在生物医学中的应用,并分析了生物医学研究中的案例,同时介绍了机器学习、深度学习和变压器模型。最后,我们简要介绍了人工智能在生物医学领域的研究进展和面临的困难。
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