The Use of ChatGPT-4.0 to Simplify Breast Pathology Reports: A Study on Readability and Accuracy.

Abstract

Authors

• Samhita Bheemireddy
  Albany Medical College, Albany Medical Center, Albany, NY, USA. bheemis1@amc.edu.
• Sarah E Leslie
  Adult and Child Center for Outcomes Research and Delivery Science (ACCORDS), University of Colorado Anschutz Medical Campus, Aurora, CO, USA.
• Jakob A Durden
  Department of Surgery, University of Colorado Anschutz Medical Campus, Aurora, CO, USA.
• George Burnet
  Department of Surgery, University of Colorado Anschutz Medical Campus, Aurora, CO, USA.
• Zain Aryanpour
  Department of Surgery, University of Colorado Anschutz Medical Campus, Aurora, CO, USA.
• Ashlyn Fong
  Department of Pathology, University of Colorado Anschutz Medical Campus, Aurora, CO, USA.
• Madeline G Higgins
  Department of Surgery, University of Colorado Anschutz Medical Campus, Aurora, CO, USA.
• Samantha Greenseid
  Department of Surgical Oncology, University of Miami, Miami, FL, USA.
• Lauren McLemore
  Department of Pathology, University of Colorado Anschutz Medical Campus, Aurora, CO, USA.
• Gande Li
  Department of Radiology, University of Colorado Anschutz Medical Campus, Aurora, CO, USA.
• Randy Miles
  From the Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, Mass (A.Y., T.S., R.B.); and Department of Radiology, Massachusetts General Hospital, Harvard Medical School, 55 Fruit St, WAC 240, Boston, Mass 02114-2698 (R.M., C.L.).
• Nancy Taft
  Department of General Surgery, Denver Health and Hospital Authority, Denver, CO, USA.
• Sarah Tevis
  Department of Surgery, University of Colorado Anschutz Medical Campus, Aurora, CO, USA.

Keywords

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