The Role of Artificial Intelligence in Enhancing Breast Disease Management: Early Detection and Prognostic Innovations DOI Creative Commons

Marwan Al‐Raeei

Archives of Medicine and Health Sciences, Journal Year: 2025, Volume and Issue: unknown

Published: March 3, 2025

Abstract In this article, we review the transformative role of artificial intelligence (AI) in detection, diagnosis, and treatment breast cancer, a disease that affects approximately 1 8 women globally. Early detection is critical for improving outcomes survival rates. Traditional diagnostic methods, such as mammograms MRIs, can be subjective prone to error. AI-powered algorithms offer solution by analyzing medical imaging data with exceptional accuracy, identifying subtle abnormalities may indicate early-stage cancer. By enhancing precision, these facilitate quicker diagnoses tailored plans, ultimately patient outcomes. Furthermore, AI has potential predict cancer recurrence assess tumor aggressiveness examining large datasets, providing valuable insights clinicians. This personalized approach allows targeted therapies increase likelihood successful treatment. We explore integration remote monitoring prognostic tools, emphasizing its ability analyze complex patterns more accurate recommendations. However, also discuss limitations AI, need high-quality, diverse interpretability issues, ethical concerns regarding privacy algorithmic bias. Addressing challenges crucial implementation care. Ultimately, article highlights promising future while stressing importance considerations equitable access advanced technologies.

Language: Английский

The Role of Artificial Intelligence in Enhancing Breast Disease Management: Early Detection and Prognostic Innovations DOI Creative Commons

Marwan Al‐Raeei

Archives of Medicine and Health Sciences, Journal Year: 2025, Volume and Issue: unknown

Published: March 3, 2025

Abstract In this article, we review the transformative role of artificial intelligence (AI) in detection, diagnosis, and treatment breast cancer, a disease that affects approximately 1 8 women globally. Early detection is critical for improving outcomes survival rates. Traditional diagnostic methods, such as mammograms MRIs, can be subjective prone to error. AI-powered algorithms offer solution by analyzing medical imaging data with exceptional accuracy, identifying subtle abnormalities may indicate early-stage cancer. By enhancing precision, these facilitate quicker diagnoses tailored plans, ultimately patient outcomes. Furthermore, AI has potential predict cancer recurrence assess tumor aggressiveness examining large datasets, providing valuable insights clinicians. This personalized approach allows targeted therapies increase likelihood successful treatment. We explore integration remote monitoring prognostic tools, emphasizing its ability analyze complex patterns more accurate recommendations. However, also discuss limitations AI, need high-quality, diverse interpretability issues, ethical concerns regarding privacy algorithmic bias. Addressing challenges crucial implementation care. Ultimately, article highlights promising future while stressing importance considerations equitable access advanced technologies.

Language: Английский

Citations

0