人工智能(AI)在肿瘤学中的现状:综述

Aqib Ali, Samreen Naeem, Sania Anam, M. Ahmed
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摘要

近年来,人工智能(AI)在解决广泛的生物学问题方面取得了重大进展,包括一些与癌症有关的事件。深度学习是人工智能的一个适应性领域,可以自动提取特征。它越来越多地被用于癌症研究的各个领域,无论是科学的还是临床的。在本研究中,讨论了人工智能在肿瘤学中的几个当前应用,包括深度学习有效解决棘手争议的情况。本研究还讨论了在更广泛地实施这种人工智能应用之前需要克服的挑战。同样,它带来了可以帮助最大限度地发挥AI潜力的资源和数据集。基于新方法的发展和人工智能的使用,可能会产生肿瘤学的基本见解,从而可能对临床实践产生重大变化。
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Current State of Artificial Intelligence (AI) in Oncology: A Review
Artificial intelligence (AI) has made significant strides in recent years toward resolving a wide range of biological issues, including a number of occurrences connected to cancer. Deep learning is an adaptable sector of AI that enables the automatic extraction of features. It is increasingly being used in various fields of cancer research, both scientific and clinical. In this study, several current applications of AI in oncology, including the situations in which deep learning has effectively addressed intractable disputes, are discussed. This study also discusses the challenges that need to be surmounted before such an application of AI may be implemented more broadly. Similarly, it brings to light resources and data sets that can assist in maximizing the potential of AI. Essential insights in oncology may be generated based on the development of novel methodologies and uses of AI, making it possible for substantial changes to be made to clinical practice.
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