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人工智能在癌症诊断中的应用:机遇与挑战。

Artificial intelligence in cancer diagnosis: Opportunities and challenges.

机构信息

Radiology and Medical Imaging Department, College of Applied Medical Sciences, Prince Sattam bin Abdulaziz University, Kharj, Saudi Arabia.

College of Pharmacy, National University of Science and Technology, Dhi Qar, Iraq.

出版信息

Pathol Res Pract. 2024 Jan;253:154996. doi: 10.1016/j.prp.2023.154996. Epub 2023 Nov 29.

Abstract

Since cancer is one of the world's top causes of death, early diagnosis is critical to improving patient outcomes. Artificial intelligence (AI) has become a viable technique for cancer diagnosis by using machine learning algorithms to examine large volumes of data for accurate and efficient diagnosis. AI has the potential to alter the way cancer is detected fundamentally. Still, it has several disadvantages, such as requiring a large amount of data, technological limitations, and ethical concerns. This overview looks at the possibilities and restrictions of AI in cancer detection, as well as current applications and possible future developments. We can better understand how to use AI to improve patient outcomes and reduce cancer mortality rates by looking at its potential for cancer detection.

摘要

由于癌症是世界上主要的死亡原因之一,因此早期诊断对于改善患者的预后至关重要。人工智能 (AI) 已成为癌症诊断的一种可行技术,它使用机器学习算法来检查大量数据,以实现准确和高效的诊断。人工智能有可能从根本上改变癌症检测的方式。但是,它也存在一些缺点,例如需要大量的数据、技术限制和伦理问题。本文综述了人工智能在癌症检测中的可能性和限制,以及当前的应用和可能的未来发展。通过研究人工智能在癌症检测中的潜力,我们可以更好地了解如何利用人工智能来改善患者的预后并降低癌症死亡率。

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