The following sources were both found in the CINAHL database.
Source #1: Strengths, Weaknesses, Opportunities, and Threats Analysis of Artificial Intelligence and Machine Learning Applications in Radiology
Keywords: Machine Learning or Artificial Intelligence AND Healthcare AND Advantage
Results: 43
Subject Terms: Artificial Intelligence, Printing, Three-Dimensional, Specialties, Medical — Trends, Algorithms, Health Care Industry, Female, Data Collection, Male, Systems Analysis, Forecasting.

Potential Source:
Martín Noguerol, T., Paulano-Godino, F., Martín-Valdivia, M. T., Menias, C. O., & Luna, A. (2019). Strengths, Weaknesses, Opportunities, and Threats Analysis of Artificial Intelligence and Machine Learning Applications in Radiology. Journal of the American College of Radiology, 16(9), 1239–1247. https://doi-org.ezproxy.fhsu.edu/10.1016/j.jacr.2019.05.047

Source #2:The Evolving Use of Electronic Health Records (EHR) for Research
Keywords: Machine Learning or Artificial Intelligence AND EHR AND Healthcare
Results: 78
Subject Terms: Research, Medical, Electronic Health Records, Health Care Industry — United States; United States; Artificial Intelligence; Computers and Computerization; Machine Learning
Potential Source:
Kim, E., Rubinstein, S. M., Nead, K. T., Wojcieszynski, A. P., Gabriel, P. E., & Warner, J. L. (2019). The Evolving Use of Electronic Health Records (EHR) for Research. Seminars in Radiation Oncology, 29(4), 354–361. https://doi-org.ezproxy.fhsu.edu/10.1016/j.semradonc.2019.05.010