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Middle East Journal of Cancer، جلد ۱۵، شماره Supplement، صفحات ۰-۰
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عنوان انگلیسی Artificial Intelligence in Malignancy: A Comprehensive Review with Emphasis on Breast and Thyroid Cancers
چکیده انگلیسی مقاله This comprehensive review examines the expansive role of artificial intelligence (AI) in oncology, with a particular focus on breast and thyroid cancers. It delves into AI’s mechanisms, notably machine learning (ML) and deep learning (DL), which are instrumental in deciphering complex patterns across vast datasets, thereby augmenting diagnostic accuracy. ML facilitates AI’s ability to learn from data, while DL, a specialized branch of ML, employs neural networks for identifying subtle characteristics, offering profound insights into cancer research. This review synthesizes insights from various sources, including academic texts and pertinent articles, to provide a detailed overview of AI’s current applications, challenges, and breakthroughs in cancer care. It highlights the transformative impact of AI technologies on the diagnosis and treatment of cancer, offering a comprehensive analysis of how these innovations are revolutionizing oncological care across diagnostic and therapeutic domains.
کلیدواژه‌های انگلیسی مقاله Artificial Intelligence, Cancer care, Breast cancer, Thyroid cancer, Machine Learning, Deep Learning, Diagnostic advancements, Therapeutic innovations, Neural networks
نویسندگان مقاله Mahmoud Hashemi |
Trauma Research Center, Rajaee (Emtiaz) Trauma Hospital, Shiraz University of Medical Sciences, Shiraz, Iran

Hamid Reza Abbasi |
Trauma Research Center, Rajaee (Emtiaz) Trauma Hospital, Shiraz University of Medical Sciences, Shiraz, Iran

Majid Akrami |
Breast Diseases Research Center, Shiraz University of Medical Sciences, Shiraz, Iran

Shahram Bolandparvaz |
Trauma Research Center, Rajaee (Emtiaz) Trauma Hospital, Shiraz University of Medical Sciences, Shiraz, Iran

Mohammad Yasin Karami |
Breast Diseases Research Center, Shiraz University of Medical Sciences, Shiraz, Iran

نشانی اینترنتی https://mejc.sums.ac.ir/article_49919_28266750c34d37349958023c33d77b1d.pdf
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