Artificial intelligence in breast imaging: Potentials and limitations

Ellen B. Mendelson*

*Corresponding author for this work

Research output: Contribution to journalReview articlepeer-review

58 Scopus citations


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 languageEnglish (US)
Pages (from-to)293-299
Number of pages7
JournalAmerican Journal of Roentgenology
Issue number2
StatePublished - Feb 2019


  • 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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