Novel research and future prospects of artificial intelligence in cancer diagnosis and treatment
Abstract 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 r...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
BMC
2023-11-01
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| Series: | Journal of Hematology & Oncology |
| Online Access: | https://doi.org/10.1186/s13045-023-01514-5 |
| _version_ | 1827603010968092672 |
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| author | Chaoyi Zhang Jin Xu Rong Tang Jianhui Yang Wei Wang Xianjun Yu Si Shi |
| author_facet | Chaoyi Zhang Jin Xu Rong Tang Jianhui Yang Wei Wang Xianjun Yu Si Shi |
| author_sort | Chaoyi Zhang |
| collection | DOAJ |
| description | Abstract 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. |
| first_indexed | 2024-03-09T05:30:41Z |
| format | Article |
| id | doaj.art-cfbb1fe0bbb44dd3badf19fc5a91b729 |
| institution | Directory Open Access Journal |
| issn | 1756-8722 |
| language | English |
| last_indexed | 2024-03-09T05:30:41Z |
| publishDate | 2023-11-01 |
| publisher | BMC |
| record_format | Article |
| series | Journal of Hematology & Oncology |
| spelling | doaj.art-cfbb1fe0bbb44dd3badf19fc5a91b7292023-12-03T12:33:35ZengBMCJournal of Hematology & Oncology1756-87222023-11-0116112910.1186/s13045-023-01514-5Novel research and future prospects of artificial intelligence in cancer diagnosis and treatmentChaoyi Zhang0Jin Xu1Rong Tang2Jianhui Yang3Wei Wang4Xianjun Yu5Si Shi6Department of Pancreatic Surgery, Fudan University Shanghai Cancer CenterDepartment of Pancreatic Surgery, Fudan University Shanghai Cancer CenterDepartment of Pancreatic Surgery, Fudan University Shanghai Cancer CenterDepartment of Pancreatic Surgery, Fudan University Shanghai Cancer CenterDepartment of Pancreatic Surgery, Fudan University Shanghai Cancer CenterDepartment of Pancreatic Surgery, Fudan University Shanghai Cancer CenterDepartment of Pancreatic Surgery, Fudan University Shanghai Cancer CenterAbstract 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.https://doi.org/10.1186/s13045-023-01514-5 |
| spellingShingle | Chaoyi Zhang Jin Xu Rong Tang Jianhui Yang Wei Wang Xianjun Yu Si Shi Novel research and future prospects of artificial intelligence in cancer diagnosis and treatment Journal of Hematology & Oncology |
| title | Novel research and future prospects of artificial intelligence in cancer diagnosis and treatment |
| title_full | Novel research and future prospects of artificial intelligence in cancer diagnosis and treatment |
| title_fullStr | Novel research and future prospects of artificial intelligence in cancer diagnosis and treatment |
| title_full_unstemmed | Novel research and future prospects of artificial intelligence in cancer diagnosis and treatment |
| title_short | Novel research and future prospects of artificial intelligence in cancer diagnosis and treatment |
| title_sort | novel research and future prospects of artificial intelligence in cancer diagnosis and treatment |
| url | https://doi.org/10.1186/s13045-023-01514-5 |
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