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New Frontiers in Breast Cancer Imaging: The Rise of AI
Stephanie B. Shamir
, Arielle L. Sasson
,
Laurie R. Margolies
,
David S. Mendelson
Icahn School of Medicine at Mount Sinai
Radiology (Diagnostic, Molecular and Interventional Radiology)
Artificial Intelligence and Human Health
CTSA ConduITS - Institutes for Translational Sciences
Research output
:
Contribution to journal
›
Review article
›
peer-review
21
Scopus citations
Overview
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Keyphrases
Artificial Intelligence
100%
New Frontiers
100%
Breast Cancer Imaging
100%
Radiologists
25%
Imaging Studies
12%
Synergistic Effect
12%
Operative
12%
Patient Care
12%
Risk Stratification
12%
Cancer Mortality
12%
Breast Cancer
12%
Cancer Causes
12%
Ultrasound
12%
Radiology
12%
Increased Demand
12%
Breast
12%
Invasive Carcinoma
12%
Cancer Diagnosis
12%
Mammography
12%
Underserved Populations
12%
Patient Response
12%
Interobserver
12%
Health Equity
12%
Artificial Intelligence Applications
12%
Cancer Detection
12%
Treatment Implications
12%
Improve Image Quality
12%
Quality Care
12%
Time Efficiency
12%
Interpretation Accuracy
12%
Cost Efficiency
12%
Breast Imaging
12%
Ductal Carcinoma in Situ
12%
Multiple Fields
12%
Three-dimensional Modeling
12%
Response to Neoadjuvant Chemotherapy
12%
Breast Cancer Detection
12%
Quality Increase
12%
Observer Variation
12%
Artificial Intelligence Implementation
12%
Medicine and Dentistry
Breast Cancer
100%
Artificial Intelligence
100%
Cancer Diagnosis
30%
Radiology
10%
Magnetic Resonance Imaging
10%
Patient Care
10%
Risk Stratification
10%
Neoadjuvant Chemotherapy
10%
Image Quality
10%
Cancer Mortality
10%
Invasive Carcinoma
10%
Mammography
10%
Underserved Population
10%
Breast Imaging
10%
Intraductal Carcinoma
10%
Cost Efficiency
10%
Pharmacology, Toxicology and Pharmaceutical Science
Breast Cancer
100%
Malignant Neoplasm
33%
Cancer Mortality
33%
Chemotherapy Regimens
33%
Intraductal Carcinoma
33%
Invasive Carcinoma
33%