Artificial intelligence in breast cancer: application and future perspectives

Area of Science:

• Oncology
• Medical Imaging
• Artificial Intelligence

Background:

• Breast cancer is a leading cause of cancer deaths in women globally.
• Early detection and prompt treatment are crucial for improving patient prognosis.
• Artificial intelligence (AI) is increasingly integrated into various medical applications.

Purpose of the Study:

• To review the current applications of AI in breast cancer diagnosis and treatment.
• To explore the potential of AI in enhancing breast cancer imaging, pathology, and adjuvant therapies.
• To identify future research directions and challenges for AI in breast cancer care.

Main Methods:

• Literature review of AI applications in breast cancer.
• Analysis of AI's role in medical imaging and pathology for breast cancer detection.
• Examination of AI's contribution to personalized treatment strategies.

Main Results:

• AI significantly improves the accuracy and sensitivity of breast cancer diagnosis.
• AI-powered tools can reduce the workload for clinicians in analyzing medical data.
• AI facilitates personalized treatment plans and adjuvant therapy selection.

Conclusions:

• AI offers substantial benefits for breast cancer detection, diagnosis, and treatment.
• Further research and development are needed to overcome challenges and fully realize AI's potential in oncology.
• AI integration promises to enhance efficiency and patient outcomes in breast cancer management.