Research on the Application of Artificial Intelligence in Diagnostic and Therapeutic Assistance in Medical Imaging
人工智能在医学影像学辅助诊疗中的应用研究

摘要

在当今医疗领域，人工智能（AI）的迅猛发展正在深刻改变医学影像学的辅助诊疗方式。随着医疗数据的激增，传统的影像分析方法已难以满足临床需求，尤其是在疾病早期诊断和个性化治疗方面。AI技术，尤其是机器学习和深度学习的应用，使得医学影像的处理和解读变得更加高效和精准。通过分析大量影像数据，AI不仅能够辅助放射科医生提高诊断的准确性，还能在疾病筛查、预后评估和治疗效果监测中发挥重要作用。本文旨在探讨人工智能在医学影像学中的具体应用，评估其在提升诊疗效率、降低医疗成本和改善患者预后方面的潜力，以期为未来的医学实践提供新的思路和方法。

Abstract

In the contemporary medical field, the swift advancement of Artificial Intelligence (AI) is significantly transforming the approach to diagnostic and therapeutic assistance in medical imaging. As medical data multiplies exponentially, traditional image analysis methods are no longer sufficient to meet clinical demands, particularly in the realms of early-stage disease diagnosis and personalized treatment. The incorporation of AI technologies, especially machine learning and deep learning, has enhanced the efficiency and precision of processing and interpreting medical images. By analyzing vast image datasets, AI not only aids radiologists in boosting diagnostic accuracy but also plays a crucial role in disease screening, prognostic evaluation, and monitoring of treatment responses. This paper aims to investigate the specific applications of AI in medical imaging, evaluate its potential in enhancing diagnostic and treatment efficiency, reducing healthcare costs, and improving patient outcomes, with the intention of providing fresh perspectives and methodologies for future medical practices.