Breast Cancer Risk Assessment in the AI Era: The Importance of Model Validation in Ethnically Diverse Cohorts-Reference-Cited by-同舟云学术

Breast Cancer Risk Assessment in the AI Era: The Importance of Model Validation in Ethnically Diverse Cohorts

Published:2023-11-01 Issue:6 Volume:5 Page:
ISSN:2638-6100
Container-title:Radiology: Artificial Intelligence
language:en
Short-container-title:Radiology: Artificial Intelligence

Author:

Kontos Despina¹^ORCID,Kalpathy-Cramer Jayashree¹^ORCID

Affiliation:

1. From the Department of Radiology, Perelman School of Medicine, University of Pennsylvania, 3700 Hamilton Walk, Richards Bldg, Rm D702, Philadelphia, PA 19104 (D.K.); and Department of Ophthalmology, University of Colorado School of Medicine, Aurora, Colo (J.K.C.).

Publisher

Radiological Society of North America (RSNA)

Subject

Artificial Intelligence,Radiology, Nuclear Medicine and imaging,Radiological and Ultrasound Technology

Link

http://pubs.rsna.org/doi/pdf/10.1148/ryai.230462

Reference11 articles.

1. Individualizing Breast Cancer Risk Assessment in Clinical Practice

2. Variability Among Breast Cancer Risk Classification Models When Applied at the Level of the Individual Woman

3. Beyond Breast Density: Risk Measures for Breast Cancer in Multiple Imaging Modalities

4. Assessing Breast Cancer Risk by Combining AI for Lesion Detection and Mammographic Texture

5. Comparison of the Diagnostic Accuracy of Mammogram-based Deep Learning and Traditional Breast Cancer Risk Models in Patients Who Underwent Supplemental Screening with MRI

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