Advances in Early Diagnosis Breast Cancer: A Look Toward the Future
Year: 2024
Type: article
Abstract: One of the leading causes of cancer-related morbidity and mortality among women worldwide is breast cancer, so early detection is crucial to improving survival rates. In order to detect breast cancer early, this review looks at recent advancements in imaging technology, biomarker identification, and artificial intelligence (AI). Newer techniques like computer-aided detection, magnetic resonance imaging, and liquid biopsies aim to overcome the limitations of traditional methods, despite their effectiveness. These developments provide non-invasive disease progression monitoring and improve tumour detection at earlier stages. AI is also transforming the accuracy of diagnosis by enhancing image interpretation and tailoring treatment plans. Patient-centered care and education are crucial to empowering women to actively participate in their own health care. Irrespective potential of these developments, issues like affordability and accessibility still exist, urging for an emphasis on providing healthcare in an appropriate way. The potential of these innovations to revolutionize breast cancer diagnosis is highlighted in this review, that can ultimately result in better patient outcomes and an era where breast cancer is identified earlier and treated more effectively.
Author: Kalyani Thombre, Krishna Gupta*, Milind Umekar
Language: English
Topic: AI in cancer detection
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W6949824022