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Connection

Paul J. Chang to Radiology

This is a "connection" page, showing publications Paul J. Chang has written about Radiology.
Connection Strength

3.330
  1. Automatic Normalization of Anatomical Phrases in Radiology Reports Using Unsupervised Learning. J Digit Imaging. 2019 02; 32(1):6-18.
    View in: PubMed
    Score: 0.565
  2. With a Little Help from Machine Learning, Precision Radiology Can Be Feasible. Radiology. 2019 Mar; 290(3):680-681.
    View in: PubMed
    Score: 0.559
  3. RSNA Diagnosis Live: A Novel Web-based Audience Response Tool to Promote Evidence-based Learning. Radiographics. 2017 Jul-Aug; 37(4):1111-1118.
    View in: PubMed
    Score: 0.506
  4. Evaluating the Referring Physician's Clinical History and Indication as a Means for Communicating Chronic Conditions That Are Pertinent at the Point of Radiologic Interpretation. J Digit Imaging. 2015 Jun; 28(3):272-82.
    View in: PubMed
    Score: 0.438
  5. Preferences for structured reporting of measurement data: an institutional survey of medical oncologists, oncology registrars, and radiologists. Acad Radiol. 2014 Jun; 21(6):785-96.
    View in: PubMed
    Score: 0.409
  6. Computer-based simulator for radiology: an educational tool. Radiographics. 2008 Jan-Feb; 28(1):309-16.
    View in: PubMed
    Score: 0.262
  7. A computer-based radiology simulator as a learning tool to help prepare first-year residents for being on call. Acad Radiol. 2007 Oct; 14(10):1271-83.
    View in: PubMed
    Score: 0.257
  8. Influence of Artificial Intelligence on Canadian Medical Students' Preference for Radiology Specialty: ANational Survey Study. Acad Radiol. 2019 04; 26(4):566-577.
    View in: PubMed
    Score: 0.139
  9. Lack of timely follow-up of abnormal imaging results and radiologists' recommendations. J Am Coll Radiol. 2015 Apr; 12(4):385-9.
    View in: PubMed
    Score: 0.107
  10. Research imaging in an academic medical center. Acad Radiol. 2012 Jun; 19(6):762-71.
    View in: PubMed
    Score: 0.088
Connection Strength

The connection strength for concepts is the sum of the scores for each matching publication.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.