Artificial Intelligence in Malignancy: A Comprehensive Review with Emphasis on Breast and Thyroid Cancers
| Autor: | Mahmoud Hashemi, Hamid Reza Abbasi, Majid Akrami, Shahram Bolandparvaz, Mohammad Yasin Karami |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2024 |
| Předmět: | |
| Zdroj: | Middle East Journal of Cancer, Vol 15, Iss 2_Supplement (2024) |
| Druh dokumentu: | article |
| ISSN: | 2008-6709 2008-6687 |
| Popis: | 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. |
| Databáze: | Directory of Open Access Journals |
| Externí odkaz: |
|