Volume 15, Issue 3 ( Special Issue (AI in Medicine) - August 2023 2023)                   Iranian Journal of Blood and Cancer 2023, 15(3): 13-41 | Back to browse issues page

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Delshad M, Omrani M A, Pourbagheri-Sigaroodi A, Bashash D. Oncology in the modern era: Artificial Intelligence is reshaping cancer diagnosis, prognosis and treatment. Iranian Journal of Blood and Cancer 2023; 15 (3) :13-41
URL: http://ijbc.ir/article-1-1439-en.html
Oncology in the modern era: Artificial Intelligence is reshaping cancer diagnosis, prognosis and treatment
Mahda Delshad1 , Mohammad Amin Omrani2 , Atieh Pourbagheri-Sigaroodi3 , Davood Bashash * 4
1- Department of Hematology and Blood Banking, School of Allied Medical Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran. Department of Laboratory Sciences, School of Allied Medical Sciences, Zanjan University of Medical Sciences, Zanjan, Iran.
2- Faculty of Medicine, Tehran University of Medical Sciences, Tehran, Iran.
3- Department of Hematology and Blood Banking, School of Allied Medical Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
4- Department of Hematology and Blood Banking, School of Allied Medical Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran. , D.bashash@sbmu.ac.ir
Abstract:   (745 Views)
The field of cancer research has been profoundly impacted by the utilization of artificial intelligence (AI), particularly through the analysis of medical records encompassing genomics, transcriptomics, proteomics, and imaging data. Subdomains of AI, such as machine learning (ML) and deep learning (DL), possess the capability to analyze intricate patterns within these records. This allows for groundbreaking advancements in cancer diagnosis, prognosis, and treatment by extracting valuable insights from sources such as histology and radiology imaging. The integration of AI-based models has led to improved prediction, diagnosis, and even treatment of various types of cancer, resulting in enhanced performance within the field of oncology. However, AI also faces challenges including ethical and legal considerations, data quality and accessibility, and issues pertaining to model interpretability. It is crucial to develop and evaluate AI-based systems in collaboration with clinicians and researchers to ensure their safety, reliability, and validity in cancer research.
 
Keywords: Artificial intelligence (AI), Machine learning, Deep learning, Cancer
Full-Text [PDF 9212 kb]   (388 Downloads)    
: Review Article | Subject: AI in Medicine
Received: 2023/07/1 | Accepted: 2023/08/1 | Published: 2023/08/7
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