Breast Cancer Screening Using Artificial Intelligence Techniques: Enhancing Biochemical Insights and Diagnostic Accuracy
Breast cancer, the most prevalent cancer in women worldwide, demands effective screening for early identification and improved treatment outcomes. Recent advances in artificial intelligence (AI) have resulted in dramatic developments in a variety of fields, including healthcare. In this review paper...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2023-11-01
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| Series: | Chemistry Proceedings |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2673-4583/14/1/41 |
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| Summary: | Breast cancer, the most prevalent cancer in women worldwide, demands effective screening for early identification and improved treatment outcomes. Recent advances in artificial intelligence (AI) have resulted in dramatic developments in a variety of fields, including healthcare. In this review paper, we look at how AI approaches can be used in breast cancer screening to improve diagnostic accuracy and provide deeper molecular insights. We dig into the complex terrain of breast cancer treatment, which has transformed as a result of the discovery of prognostic and predictive biomarkers, allowing for personalised therapeutic methods based on molecular subgroups. We emphasise the importance of AI-driven approaches in optimising screening procedures and providing quick and exact findings. The potential of AI to revolutionise breast cancer screening is highlighted, including its applications in diagnostic imaging, lesion identification, and standardised imaging data interpretation. The analysis highlights AI’s critical role in tackling issues associated with the integration of new technologies, providing solutions for worldwide standardisation in cancer detection. |
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| ISSN: | 2673-4583 |