COMPUTER MODELING OF A BREAST CANCER DIAGNOSTIC SYSTEM BASED ON ARTIFICIAL INTELLIGENCE

Authors

  • Dildora Kabilzhanovna Mukhamedieva Muhammad al-Khwarizmi TUIT
  • Malika Yuldashovna Doshanova Muhammad al-Khwarizmi TUIT
  • Madina Eldarovna Shaazizova Muhammad al-Khwarizmi TUIT
  • Durdona Ikromzhon Kizi Bekimbetova Muhammad al-Khwarizmi TUIT
  • Bobur Zhamalovich Avezzhanov Muhammad al-Khwarizmi TUIT

Keywords:

breast cancer, mammography, artificial intelligence, deep learning, computer modeling, simulation model, decision support system

Abstract

This article discusses the principles of computer modeling of a breast cancer diagnostic system based on artificial intelligence and machine learning technologies. Training. The problem of modeling a screening patient flow is formalized, the architecture of an AI module for analyzing mammographic data is described, and a simulation model for integrating deep learning algorithms into a doctor-machine interface is proposed. Recommendations are provided for constructing a computational experiment, analyzing performance indicators, and comparatively evaluating various organizational screening schemes.

References

1. McKinney S.M. et al. International evaluation of an AI system for breast cancer screening. Nature. 2020; 577:89–94.

2. Wang L. et al. Mammography with deep learning for breast cancer detection: a review. BMC Cancer. 2024.

3. Amin A. et al. Deep learning-based CAD systems for breast cancer detection: a systematic review with focus on Asia. BMC Cancer. 2025.

4. Rahman M.A. Advancements in breast cancer detection: a review of AI and ML methods. Diagnostics. 2025.

5. Ali A. et al. Exploring AI approaches for breast cancer detection and diagnosis. Breast Cancer: Targets and Therapy. 2025.

6. Wang R. Deep Learning in Digital Breast Tomosynthesis. European Journal of Radiology. 2025.

7. Kassis I. et al. Detection of breast cancer in digital breast tomosynthesis using vision transformers. Scientific Reports. 2024.

8. Alashban Y. et al. Breast cancer detection and classification with digital breast tomosynthesis: a two-stage deep learning approach. Diagnostic and Interventional Radiology. 2024.

9. Yala A. et al. A deep learning mammography-based model for 5-year breast cancer risk prediction (MIRAI). Radiology. 2019.

10. Mota A.M. et al. AI-based characterization of breast cancer in multimodal imaging. Cancers. 2025.

11. Jeba Prasanna S. et al. Recent trends on mammogram breast density analysis using deep learning. Artificial Intelligence Review. 2025.

12. Shimokawa D. et al. Deep learning model for breast cancer diagnosis based on asymmetry detection. Journal of Medical Ultrasonics. 2023.

13. Sutjiadi R. Deep learning for segmentation and classification in mammography: a survey. AUDT. 2024.

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Published

2025-12-28

How to Cite

COMPUTER MODELING OF A BREAST CANCER DIAGNOSTIC SYSTEM BASED ON ARTIFICIAL INTELLIGENCE. (2025). DIGITAL TRANSFORMATION AND ARTIFICIAL INTELLIGENCE, 3(6), 248-254. https://dtai.tsue.uz/index.php/dtai/article/view/v3i636