“ Advancements in Imaging Technology : A Comprehensive Review of Emerging Techniques and AI Integration in Breast Imaging ”

Rohit Anil Sonawane , Ajay Satish Birhade , Sonal Vansha Dumada

Artificial Intelligence , Automated Breast Ultrasound (ABUS) , Contrast-Enhanced Mammography (CEM) , Molecular Breast Imaging (MBI) , Positron Emission Mammography (PEM) .

This review explores recent advancements in breast imaging technologies, emphasizing the integration of artificial intelligence (AI) and emerging imaging modalities. Breast cancer remains a major cause of morbidity and mortality among women, necessitating improved diagnostic accuracy. Key imaging techniques include Automated Breast Ultrasound (ABUS), Contrast-Enhanced Mammography (CEM), Molecular Breast Imaging (MBI), and Positron Emission Mammography (PEM). ABUS offers automated, standardized imaging, enhancing detection in women with dense breasts. CEM, using contrast agents, boosts sensitivity for identifying tumors missed by traditional mammography. MBI provides insights into the metabolic activity of breast lesions, while PEM combines positron emission tomography with mammography for better tumors localization. Hybrid technologies like PET-CT and PET-MRI offer both anatomical and functional data, improving detection and treatment planning. AI is transforming breast imaging by assisting radiologists in lesion identification, enhancing accuracy, and reducing errors. The review also discusses challenges in clinical implementation and the potential of AI to revolutionize breast cancer diagnostics for improved outcomes .

Published Paper   E-Certificate

"“ Advancements in Imaging Technology : A Comprehensive Review of Emerging Techniques and AI Integration in Breast Imaging ”", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.10, Issue 3, page no.b338-b354, March-2025, Available :https://ijsdr.org/papers/IJSDR2503140.pdf

Volume 10 Issue 3, March-2025

Pages : b338-b354

Paper Reg. ID: IJSDR_301106

Published Paper Id: IJSDR2503140

Downloads: 000140

Research Area: Pharmacy All

Country: Yeola , Nashik, Maharashtra , India

Published Paper PDF: https://ijsdr.org/papers/IJSDR2503140

Published Paper URL: https://ijsdr.org/viewpaperforall?paper=IJSDR2503140

ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJSDR(IJ Publication) Janvi Wave

This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition