scholarly journals Tumor microenvironment and the role of artificial intelligence in breast cancer detection and prognosis

2021 ◽  
Author(s):  
Kathryn Malherbe.
Keyword(s):  
Breast Cancer ◽  
Artificial Intelligence ◽  
Tumor Microenvironment ◽  
Cancer Detection ◽  
Breast Cancer Detection

Salivary metabolomics with artificial intelligence-based methods for breast cancer detection and subtype prediction

2020 ◽  
Vol 138 ◽  
pp. S18
Author(s):  
T. Murata ◽  
T. Yanagisawa ◽  
T. Kurihara ◽  
M. Kaneko ◽  
S. Ota ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Artificial Intelligence ◽  
Cancer Detection ◽  
Breast Cancer Detection

THE ROLE OF NUCLEAR MEDICINE IN BREAST CANCER DETECTION

2001 ◽  
Vol 39 (5) ◽  
pp. 1053-1068 ◽  
Author(s):  
Iraj Khalkhali ◽  
Hernan I. Vargas
Keyword(s):  
Breast Cancer ◽  
Nuclear Medicine ◽  
Cancer Detection ◽  
Breast Cancer Detection

Prospective comparative study assessing role of ultrasound versus thermography in breast cancer detection

2018 ◽  
Vol 37 (4) ◽  
pp. 191-196 ◽  
Author(s):  
A. Alikhassi ◽  
Sh. F. Hamidpour ◽  
M. Firouzmand ◽  
M. Navid ◽  
M. Eghbal
Keyword(s):  
Breast Cancer ◽  
Comparative Study ◽  
Cancer Detection ◽  
Breast Cancer Detection ◽  
Prospective Comparative Study

scholarly journals Role of Imaging in Breast Cancer Detection

AAOHN Journal ◽  
2010 ◽  
Vol 58 (4) ◽  
pp. 131-134
Author(s):  
Marina E. Giurescu ◽  
Tilina Hu ◽  
Olufolajimi Obembe
Keyword(s):  
Breast Cancer ◽  
Cancer Detection ◽  
Breast Cancer Detection

scholarly journals Improving Breast Cancer Detection Accuracy of Mammography with the Concurrent Use of an Artificial Intelligence Tool

2020 ◽  
Vol 2 (6) ◽  
pp. e190208
Author(s):  
Serena Pacilè ◽  
January Lopez ◽  
Pauline Chone ◽  
Thomas Bertinotti ◽  
Jean Marie Grouin ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Artificial Intelligence ◽  
Cancer Detection ◽  
Breast Cancer Detection ◽  
Detection Accuracy ◽  
Concurrent Use

scholarly journals Artificial Intelligence: A Primer for Breast Imaging Radiologists

2020 ◽  
Vol 2 (4) ◽  
pp. 304-314
Author(s):  
Manisha Bahl
Keyword(s):  
Breast Cancer ◽  
Artificial Intelligence ◽  
Cancer Detection ◽  
Breast Imaging ◽  
Breast Cancer Detection ◽  
Computer Algorithms ◽  
Prevention Strategies ◽  
Future Directions ◽  
Optimal Patient Care ◽  
Screening And Prevention

Abstract Artificial intelligence (AI) is a branch of computer science dedicated to developing computer algorithms that emulate intelligent human behavior. Subfields of AI include machine learning and deep learning. Advances in AI technologies have led to techniques that could increase breast cancer detection, improve clinical efficiency in breast imaging practices, and guide decision-making regarding screening and prevention strategies. This article reviews key terminology and concepts, discusses common AI models and methods to validate and evaluate these models, describes emerging AI applications in breast imaging, and outlines challenges and future directions. Familiarity with AI terminology, concepts, methods, and applications is essential for breast imaging radiologists to critically evaluate these emerging technologies, recognize their strengths and limitations, and ultimately ensure optimal patient care.

Ultra Wide Band (UWB) Based Early Breast Cancer Detection Using Artificial Intelligence

2020 ◽  
pp. 505-515
Author(s):  
Bifta Sama Bari ◽  
Sabira Khatun ◽  
Kamarul Hawari Ghazali ◽  
Md. Moslemuddin Fakir ◽  
Wan Nur Azhani W. Samsudin ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Artificial Intelligence ◽  
Early Breast Cancer ◽  
Cancer Detection ◽  
Wide Band ◽  
Breast Cancer Detection ◽  
Ultra Wide Band

Screening Breast MRI and the Science of Premenopausal Background Parenchymal Enhancement

2021 ◽  
Author(s):  
Stephen Vong ◽  
Anthony J Ronco ◽  
Elham Najafpour ◽  
Shadi Aminololama-Shakeri
Keyword(s):  
Breast Cancer ◽  
Risk Factor ◽  
Patient Outcomes ◽  
Cancer Detection ◽  
Premenopausal Women ◽  
Breast Mri ◽  
Breast Cancer Detection ◽  
Background Parenchymal Enhancement ◽  
Parenchymal Enhancement

Abstract The significance of background parenchymal enhancement (BPE) on screening and diagnostic breast MRI continues to be elucidated. Background parenchymal enhancement was initially deemed probably benign and followed or thought of as an artifact degrading the accuracy of breast cancer detection on breast MRI examinations. Subsequent research has focused on understanding the role of BPE regarding screening breast MRI. Today, there is growing evidence that a myriad of factors affect BPE, which in turn may influence patient outcomes. Additionally, BPE could represent an important risk factor for the future development of breast cancer. This article aims to describe the most up-to-date research on BPE as it relates to screening breast MRI in premenopausal women.

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