Joseph R England1, Phillip M Cheng2. 1. 1 Department of Radiological Sciences, David Geffen School of Medicine at UCLA, Los Angeles, CA. 2. 2 Department of Radiology, Keck School of Medicine of USC, 1441 Eastlake Ave, Ste 2315B, Los Angeles, CA 90033.
Abstract
OBJECTIVE: The purpose of this article is to highlight best practices for writing and reviewing articles on artificial intelligence for medical image analysis. CONCLUSION: Artificial intelligence is in the early phases of application to medical imaging, and patient safety demands a commitment to sound methods and avoidance of rhetorical and overly optimistic claims. Adherence to best practices should elevate the quality of articles submitted to and published by clinical journals.
OBJECTIVE: The purpose of this article is to highlight best practices for writing and reviewing articles on artificial intelligence for medical image analysis. CONCLUSION: Artificial intelligence is in the early phases of application to medical imaging, and patient safety demands a commitment to sound methods and avoidance of rhetorical and overly optimistic claims. Adherence to best practices should elevate the quality of articles submitted to and published by clinical journals.
Entities:
Keywords:
artificial intelligence; deep learning; machine learning; technology assessment
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