Generative Artificial Intelligence Platform for Automating Social Media Posts From Urology Journal Articles: A Cross-Sectional Study and Randomized Assessment.

Journal: The Journal of urology
Published Date:

Abstract

PURPOSE: This cross-sectional study assessed a generative artificial intelligence platform to automate the creation of accurate, appropriate, and compelling social media (SoMe) posts from urological journal articles.

Authors

  • Lorenzo Storino Ramacciotti
    USC Institute of Urology and Catherine & Joseph Aresty Department of Urology, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA; USC Institute of Urology, Center for Image-Guided Surgery, Focal Therapy and Artificial Intelligence for Prostate Cancer.
  • Francesco Cei
    USC Institute of Urology, Catherine and Joseph Aresty Department of Urology, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.
  • Jacob S Hershenhouse
    USC Institute of Urology and Catherine & Joseph Aresty Department of Urology, University of Southern California, Los Angeles, California.
  • Daniel Mokhtar
    USC Institute of Urology and Catherine & Joseph Aresty Department of Urology, University of Southern California, Los Angeles, California.
  • Severin Rodler
    Department of Urology, Klinikum der Universitaet Muenchen, Munich, Germany.
  • Karanvir Gill
    Department of Biological Sciences, Dornsife College of Letters, Arts, and Sciences, University of Southern California, University Park Campus, Los Angeles, CA, United States of America.
  • David Strauss
    Department of Urology, Lewis Katz School of Medicine, Temple University, Philadelphia, PA, USA.
  • Luis G Medina
    USC Institute of Urology, University of Southern California, 1441 Eastlake Ave., Suite 7416, Los Angeles, CA, 90089-9178, USA.
  • Jie Cai
    Research Center for Drug Discovery, School of Pharmaceutical Sciences, Sun Yat-Sen University, 132 East Circle at University City, Guangzhou, 510006, China.
  • Andre Luis Abreu
    USC Institute of Urology and Catherine & Joseph Aresty Department of Urology, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA; USC Institute of Urology, Center for Image-Guided Surgery, Focal Therapy and Artificial Intelligence for Prostate Cancer; Department of Radiology, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA. Electronic address: andre.abreu@med.usc.edu.
  • Mihir M Desai
    USC Institute of Urology, Catherine & Joseph Aresty Department of Urology, University of Southern California, Los Angeles, California.
  • Rene Sotelo
    USC Institute of Urology, University of Southern California, 1441 Eastlake Ave., Suite 7416, Los Angeles, CA, 90089-9178, USA. Rene.Sotelo@med.usc.edu.
  • Inderbir S Gill
    Center for Robotic Simulation & Education, Catherine & Joseph Aresty Department of Urology, University of Southern California Institute of Urology, Los Angeles, California.
  • Giovanni E Cacciamani
    USC Institute of Urology, Catherine and Joseph Aresty Department of Urology, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA - giovanni.cacciamani@med.usc.edu.