Department of Pancreatic Surgery, Fudan University Shanghai Cancer Center, No. 270 Dong'An Road, Shanghai, 200032, People's Republic of China.
Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, 200032, People's Republic of China.
J Hematol Oncol. 2023 Nov 27;16(1):114. doi: 10.1186/s13045-023-01514-5.
Research into the potential benefits of artificial intelligence for comprehending the intricate biology of cancer has grown as a result of the widespread use of deep learning and machine learning in the healthcare sector and the availability of highly specialized cancer datasets. Here, we review new artificial intelligence approaches and how they are being used in oncology. We describe how artificial intelligence might be used in the detection, prognosis, and administration of cancer treatments and introduce the use of the latest large language models such as ChatGPT in oncology clinics. We highlight artificial intelligence applications for omics data types, and we offer perspectives on how the various data types might be combined to create decision-support tools. We also evaluate the present constraints and challenges to applying artificial intelligence in precision oncology. Finally, we discuss how current challenges may be surmounted to make artificial intelligence useful in clinical settings in the future.
由于深度学习和机器学习在医疗保健领域的广泛应用以及高度专业化的癌症数据集的可用性，研究人工智能在理解癌症复杂生物学方面的潜在益处的工作已经增加。在这里，我们回顾了新的人工智能方法以及它们在肿瘤学中的应用。我们描述了人工智能如何用于癌症的检测、预后和治疗管理，并介绍了最新的大型语言模型（如 ChatGPT）在肿瘤学临床中的应用。我们强调了人工智能在组学数据类型中的应用，并提供了关于如何将各种数据类型结合起来创建决策支持工具的观点。我们还评估了目前在精准肿瘤学中应用人工智能的限制和挑战。最后，我们讨论了如何克服当前的挑战，以使人工智能在未来的临床环境中发挥作用。
