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人工智能在癌症研究中的应用：全面指南。

The Application of Artificial Intelligence to Cancer Research: A Comprehensive Guide.

机构信息

Centre for Cancer Biology, SA Pathology and the University of South Australia, Adelaide, SA, Australia.

Department of Electrical Engineering, Faculty of Engineering, Bu-Ali Sina University, Hamedan, Iran.

出版信息

Technol Cancer Res Treat. 2024 Jan-Dec;23:15330338241250324. doi: 10.1177/15330338241250324.

DOI:10.1177/15330338241250324
PMID:38775067
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11113055/
Abstract

Advancements in AI have notably changed cancer research, improving patient care by enhancing detection, survival prediction, and treatment efficacy. This review covers the role of Machine Learning, Soft Computing, and Deep Learning in oncology, explaining key concepts and algorithms (like SVM, Naïve Bayes, and CNN) in a clear, accessible manner. It aims to make AI advancements understandable to a broad audience, focusing on their application in diagnosing, classifying, and predicting various cancer types, thereby underlining AI's potential to better patient outcomes. Moreover, we present a tabular summary of the most significant advances from the literature, offering a time-saving resource for readers to grasp each study's main contributions. The remarkable benefits of AI-powered algorithms in cancer care underscore their potential for advancing cancer research and clinical practice. This review is a valuable resource for researchers and clinicians interested in the transformative implications of AI in cancer care.

摘要

人工智能的进步显著改变了癌症研究，通过提高检测、生存预测和治疗效果来改善患者护理。本综述涵盖了机器学习、软计算和深度学习在肿瘤学中的作用，以清晰易懂的方式解释关键概念和算法（如 SVM、朴素贝叶斯和 CNN）。其目的是让广大受众理解人工智能的进步，重点介绍它们在诊断、分类和预测各种癌症类型中的应用，从而强调人工智能改善患者预后的潜力。此外，我们还以表格形式总结了文献中最重要的进展，为读者提供了一个节省时间的资源，以便掌握每项研究的主要贡献。人工智能算法在癌症护理中的显著优势突显了它们在推进癌症研究和临床实践方面的潜力。对于关注人工智能在癌症护理中变革性影响的研究人员和临床医生来说，这篇综述是一份有价值的资源。

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