A No-Math Primer on the Principles of Machine Learning for Radiologists

Matthew D. Lee, Mohammed Elsayed, Sumit Chopra, Yvonne W. Lui

Research output: Contribution to journalArticlepeer-review


Machine learning is becoming increasingly important in both research and clinical applications in radiology due to recent technological developments, particularly in deep learning. As these technologies are translated toward clinical practice, there is a need for radiologists and radiology trainees to understand the basic principles behind them. This primer provides an accessible introduction to the vocabulary and concepts that are central to machine learning and relevant to the radiologist.

Original languageEnglish (US)
Pages (from-to)133-141
Number of pages9
JournalSeminars in Ultrasound, CT and MRI
Issue number2
StatePublished - Apr 2022

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging


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