Novel research and future prospects of artificial intelligence in cancer diagnosis and treatment

• Published in: Journal of hematology and oncology Vol. 16; no. 1; pp. 114 - 29
• Main Authors: Zhang, Chaoyi, Xu, Jin, Tang, Rong, Yang, Jianhui, Wang, Wei, Yu, Xianjun, Shi, Si
• Format: Journal Article
• Language: English
• Published: England BioMed Central Ltd 27.11.2023; BioMed Central; BMC
• Subjects: Algorithms; Artificial Intelligence; Cancer; Cancer therapies; Care and treatment; Computational linguistics; Decision making; Decision trees; Deep learning; Diagnosis; Hematology; Humans; Language processing; Machine Learning; Medical Oncology; Medical screening; Natural language interfaces; Neoplasms - diagnosis; Neoplasms - genetics; Neoplasms - therapy; Neural networks; Oncology; Oncology, Experimental; Precision Medicine; Proteomics; Regression analysis; Sound; Support vector machines; Tomography; United Kingdom
• ISSN: 1756-8722; 1756-8722
• 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.