Artificial intelligence in breast imaging: Potentials and limitations

Ellen B. Mendelson

doi:10.2214/AJR.18.20532

Artificial intelligence in breast imaging: Potentials and limitations

Ellen B. Mendelson^*

^*Corresponding author for this work

Radiology

Research output: Contribution to journal › Review article › peer-review

58 Scopus citations

Abstract

OBJECTIVE. The purpose of this article is to discuss potential applications of artificial intelligence (AI) in breast imaging and limitations that may slow or prevent its adoption. CONCLUSION. The algorithms of AI for workflow improvement and outcome analyses are advancing. Using imaging data of high quality and quantity, AI can support breast imagers in diagnosis and patient management, but AI cannot yet be relied on or be responsible for physicians' decisions that may affect survival. Education in AI is urgently needed for physicians.

Original language	English (US)
Pages (from-to)	293-299
Number of pages	7
Journal	American Journal of Roentgenology
Volume	212
Issue number	2
DOIs	https://doi.org/10.2214/AJR.18.20532
State	Published - Feb 2019

Keywords

Artificial intelligence in breast imaging
Artificial intelligence in radiology
Artificial neural networks
Computer-aided detection and diagnosis
Machine and deep learning

ASJC Scopus subject areas

Radiology Nuclear Medicine and imaging

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10.2214/AJR.18.20532

Cite this

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Artificial intelligence in breast imaging: Potentials and limitations

Abstract

Keywords

ASJC Scopus subject areas

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