REVIEW article

Front. Oncol.

Sec. Breast Cancer

Volume 15 - 2025 | doi: 10.3389/fonc.2025.1587517

Advances in Breast Cancer Diagnosis: A Comprehensive Review of Imaging, Biosensors, and Emerging Wearable Technologies

Provisionally accepted
Abdul Qadeer  KhanAbdul Qadeer Khan1Manahil  TouseeqManahil Touseeq1Sara  RehmanSara Rehman1Maria  TahirMaria Tahir1Malaika  AshfaqMalaika Ashfaq1Emaan  JaffarEmaan Jaffar1Saadullah Farooq  AbbasiSaadullah Farooq Abbasi2*
  • 1Riphah International University, Rawalpindi, Punjab, Pakistan
  • 2University of Birmingham, Birmingham, United Kingdom

The final, formatted version of the article will be published soon.

Breast cancer has been the most frequent diagnosed cancer and the leading cause of cancer-related deaths among women worldwide, mainly due to delayed detection. Early diagnosis significantly improves prognosis and long-term survival rates. Various techniques, including imaging, sensors, and molecular biotechnology, have been developed to facilitate early detection. This review provides a comprehensive analysis of these diagnostic techniques, emphasizing precision, patient comfort, and cost-effectiveness. Additionally, it explores the emerging role of wearable technologies, such as smart bras and real-time monitoring devices, in revolutionizing breast cancer detection. The review concludes by discussing the limitations of current diagnostic methods and proposing future directions for enhancing early detection and improving patient outcomes.

Keywords: breast cancer, imaging, Biosensors, Wearable technologies, artificial intelligence

Received: 04 Mar 2025; Accepted: 15 May 2025.

Copyright: © 2025 Khan, Touseeq, Rehman, Tahir, Ashfaq, Jaffar and Abbasi. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence: Saadullah Farooq Abbasi, University of Birmingham, Birmingham, United Kingdom

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