Middle East Journal of Cancer

Artificial Intelligence in Malignancy: A Comprehensive Review with Emphasis on Breast and Thyroid Cancers

Document Type : Poster

Authors

Mahmoud Hashemi 1
Hamid Reza Abbasi 1
Majid Akrami 2
Shahram Bolandparvaz 1
Mohammad Yasin Karami 2

1 Trauma Research Center, Rajaee (Emtiaz) Trauma Hospital, Shiraz University of Medical Sciences, Shiraz, Iran

2 Breast Diseases Research Center, Shiraz University of Medical Sciences, Shiraz, Iran

Abstract
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.

Keywords

Artificial intelligence
Cancer care
Breast cancer
Thyroid cancer
Machine learning
Deep learning
Diagnostic advancements
Therapeutic innovations
Neural networks

How to cite this article:

Hashemi M, Abbasi HR, Akrami M, Bolandparvaz S, Karami MY. Artificial intelligence in malignancy: A comprehensive review with emphasis on breast and thyroid cancers. Middle East J Cancer. 2024;15(2_ Supplement).

Middle East Journal of Cancer
Volume 15, 2_Supplement
2nd Shiraz International Surgical Oncology Congress
Spring 2024

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