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CommentaryCommentary

Editorial Spotlight: Implications of Using Artificial Intelligence as a Tool for Summarizing New Evidence

Caroline Tietbohl, Nicholas LeFevre, Dean Seehusen and Christy Ledford
The Journal of the American Board of Family Medicine September 2026, 39 (1) 168435; DOI: https://doi.org/10.3122/jabfm.2026.260341R0
Caroline Tietbohl
1 Department of Family Medicine University of Colorado Anschutz https://ror.org/03wmf1y16
PhD, MA
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Nicholas LeFevre
2 Department of Family and Community Medicine University of Missouri School of Medicine
MD, MSAM
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Dean Seehusen
3 Medical College of Georgia, Department of Family and Community Medicine Augusta University https://ror.org/012mef835
MD, MPH, CAQ-HALM
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Christy Ledford
3 Medical College of Georgia, Department of Family and Community Medicine Augusta University https://ror.org/012mef835
PhD
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References

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    (2002) A POEM a week for the BMJ. BMJ 325(7371):983, doi:10.1136/BMJ.325.7371.983, https://doi.org/10.1136/BMJ.325.7371.983. .
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    (3, 2025) The Empowerment of Consumers for Health: AI Accelerates a Long-Standing Trend. . 2026-1-13. https://www.aafp.org/afp/2025/0300/editorial-artificial-intelligence-consumer-empowerment.
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The Journal of the American Board of Family   Medicine: 39 (1)
The Journal of the American Board of Family Medicine
Vol. 39, Issue 1
1 Jan 2026
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Editorial Spotlight: Implications of Using Artificial Intelligence as a Tool for Summarizing New Evidence
Caroline Tietbohl, Nicholas LeFevre, Dean Seehusen, Christy Ledford
The Journal of the American Board of Family Medicine Sep 2026, 39 (1) 168435; DOI: 10.3122/jabfm.2026.260341R0

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Editorial Spotlight: Implications of Using Artificial Intelligence as a Tool for Summarizing New Evidence
Caroline Tietbohl, Nicholas LeFevre, Dean Seehusen, Christy Ledford
The Journal of the American Board of Family Medicine Sep 2026, 39 (1) 168435; DOI: 10.3122/jabfm.2026.260341R0
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Keywords

  • Artificial Intelligence
  • Clinical Decision-Making
  • Clinical Decision Support
  • Evidence-Based Medicine
  • Family Medicine
  • Large Language Models
  • Natural Language Processing

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