Advances in Early Diagnosis Breast Cancer: A Look Toward the Future

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.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-11-19
DOI
https://doi.org/10.5281/zenodo.14186018
Primary Topic
AI in cancer detection
Type
article
Field-Weighted Citation Impact
0.00
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article

Advances in Early Diagnosis Breast Cancer: A Look Toward the Future

Zenodo (CERN European Organization for Nuclear Research)
AI in cancer detection
article

Advances in Early Diagnosis Breast Cancer: A Look Toward the Future

article en

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.

Zenodo (CERN European Organization for Nuclear Research)
Good health and well-being
Openalex Percentile: Top 59%
AI in cancer detection
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