Machine Learning and AI in Cancer Prognosis, Prediction, and Treatment Selection: A Critical Approach
Bo Zhang,1 Huiping Shi,1 Hongtao Wang2 1Jinling Institute of Science and Technology, Nanjing City, Jiangsu Province, People’s Republic of China; 2School of Life Science, Tonghua Normal University, Tonghua City, Jilin Province, People’s Republic of ChinaCorrespondence: Bo Zhang, Jinling Institute of...
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| Format: | Article |
| Language: | English |
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Dove Medical Press
2023-06-01
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| Series: | Journal of Multidisciplinary Healthcare |
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| Online Access: | https://www.dovepress.com/machine-learning-and-ai-in-cancer-prognosis-prediction-and-treatment-s-peer-reviewed-fulltext-article-JMDH |
| _version_ | 1797789393867505664 |
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| author | Zhang B Shi H Wang H |
| author_facet | Zhang B Shi H Wang H |
| author_sort | Zhang B |
| collection | DOAJ |
| description | Bo Zhang,1 Huiping Shi,1 Hongtao Wang2 1Jinling Institute of Science and Technology, Nanjing City, Jiangsu Province, People’s Republic of China; 2School of Life Science, Tonghua Normal University, Tonghua City, Jilin Province, People’s Republic of ChinaCorrespondence: Bo Zhang, Jinling Institute of Science and Technology, No. 99, Hongjing Avenue, Jiangning District, Nanjing City, Jiangsu Province, 211169, People’s Republic of China, Email liuxing.2001@163.comAbstract: Cancer is a leading cause of morbidity and mortality worldwide. While progress has been made in the diagnosis, prognosis, and treatment of cancer patients, individualized and data-driven care remains a challenge. Artificial intelligence (AI), which is used to predict and automate many cancers, has emerged as a promising option for improving healthcare accuracy and patient outcomes. AI applications in oncology include risk assessment, early diagnosis, patient prognosis estimation, and treatment selection based on deep knowledge. Machine learning (ML), a subset of AI that enables computers to learn from training data, has been highly effective at predicting various types of cancer, including breast, brain, lung, liver, and prostate cancer. In fact, AI and ML have demonstrated greater accuracy in predicting cancer than clinicians. These technologies also have the potential to improve the diagnosis, prognosis, and quality of life of patients with various illnesses, not just cancer. Therefore, it is important to improve current AI and ML technologies and to develop new programs to benefit patients. This article examines the use of AI and ML algorithms in cancer prediction, including their current applications, limitations, and future prospects.Keywords: machine learning, artificial intelligence, treatment selection, cancer diagnosis, cancer-related mortality |
| first_indexed | 2024-03-13T01:50:01Z |
| format | Article |
| id | doaj.art-eeea9de0c8414fbfb9847efdd70bedfd |
| institution | Directory Open Access Journal |
| issn | 1178-2390 |
| language | English |
| last_indexed | 2024-03-13T01:50:01Z |
| publishDate | 2023-06-01 |
| publisher | Dove Medical Press |
| record_format | Article |
| series | Journal of Multidisciplinary Healthcare |
| spelling | doaj.art-eeea9de0c8414fbfb9847efdd70bedfd2023-07-02T19:49:19ZengDove Medical PressJournal of Multidisciplinary Healthcare1178-23902023-06-01Volume 161779179184707Machine Learning and AI in Cancer Prognosis, Prediction, and Treatment Selection: A Critical ApproachZhang BShi HWang HBo Zhang,1 Huiping Shi,1 Hongtao Wang2 1Jinling Institute of Science and Technology, Nanjing City, Jiangsu Province, People’s Republic of China; 2School of Life Science, Tonghua Normal University, Tonghua City, Jilin Province, People’s Republic of ChinaCorrespondence: Bo Zhang, Jinling Institute of Science and Technology, No. 99, Hongjing Avenue, Jiangning District, Nanjing City, Jiangsu Province, 211169, People’s Republic of China, Email liuxing.2001@163.comAbstract: Cancer is a leading cause of morbidity and mortality worldwide. While progress has been made in the diagnosis, prognosis, and treatment of cancer patients, individualized and data-driven care remains a challenge. Artificial intelligence (AI), which is used to predict and automate many cancers, has emerged as a promising option for improving healthcare accuracy and patient outcomes. AI applications in oncology include risk assessment, early diagnosis, patient prognosis estimation, and treatment selection based on deep knowledge. Machine learning (ML), a subset of AI that enables computers to learn from training data, has been highly effective at predicting various types of cancer, including breast, brain, lung, liver, and prostate cancer. In fact, AI and ML have demonstrated greater accuracy in predicting cancer than clinicians. These technologies also have the potential to improve the diagnosis, prognosis, and quality of life of patients with various illnesses, not just cancer. Therefore, it is important to improve current AI and ML technologies and to develop new programs to benefit patients. This article examines the use of AI and ML algorithms in cancer prediction, including their current applications, limitations, and future prospects.Keywords: machine learning, artificial intelligence, treatment selection, cancer diagnosis, cancer-related mortalityhttps://www.dovepress.com/machine-learning-and-ai-in-cancer-prognosis-prediction-and-treatment-s-peer-reviewed-fulltext-article-JMDHmachine learningartificial intelligencetreatment selectioncancer diagnosiscancer-related mortality |
| spellingShingle | Zhang B Shi H Wang H Machine Learning and AI in Cancer Prognosis, Prediction, and Treatment Selection: A Critical Approach Journal of Multidisciplinary Healthcare machine learning artificial intelligence treatment selection cancer diagnosis cancer-related mortality |
| title | Machine Learning and AI in Cancer Prognosis, Prediction, and Treatment Selection: A Critical Approach |
| title_full | Machine Learning and AI in Cancer Prognosis, Prediction, and Treatment Selection: A Critical Approach |
| title_fullStr | Machine Learning and AI in Cancer Prognosis, Prediction, and Treatment Selection: A Critical Approach |
| title_full_unstemmed | Machine Learning and AI in Cancer Prognosis, Prediction, and Treatment Selection: A Critical Approach |
| title_short | Machine Learning and AI in Cancer Prognosis, Prediction, and Treatment Selection: A Critical Approach |
| title_sort | machine learning and ai in cancer prognosis prediction and treatment selection a critical approach |
| topic | machine learning artificial intelligence treatment selection cancer diagnosis cancer-related mortality |
| url | https://www.dovepress.com/machine-learning-and-ai-in-cancer-prognosis-prediction-and-treatment-s-peer-reviewed-fulltext-article-JMDH |
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