Readability Optimization of Layperson Summaries in Urological Oncology Clinical Trials: Outcomes from the BRIDGE-AI 8 Study
Year: 2025
Type: article
Language: en
Topic: Text Readability and Simplification
Authors and affiliations:
raw_author_name: Ilicia Cano
raw_affiliation_strings: Artificial Intelligence Center at USC Urology, Los Angeles, CA 90033, USA
USC Institute of Urology, Catherine and Joseph Aresty Department of Urology, Keck School of Medicine, University of Southern California, Los Angeles, CA 90089, USA
raw_author_name: Aalamnoor Pannu
raw_affiliation_strings: Artificial Intelligence Center at USC Urology, Los Angeles, CA 90033, USA
USC Institute of Urology, Catherine and Joseph Aresty Department of Urology, Keck School of Medicine, University of Southern California, Los Angeles, CA 90089, USA
raw_author_name: Ethan Layne
raw_affiliation_strings: Artificial Intelligence Center at USC Urology, Los Angeles, CA 90033, USA
USC Institute of Urology, Catherine and Joseph Aresty Department of Urology, Keck School of Medicine, University of Southern California, Los Angeles, CA 90089, USA
raw_author_name: Conner Ganjavi
raw_affiliation_strings: Artificial Intelligence Center at USC Urology, Los Angeles, CA 90033, USA
USC Institute of Urology, Catherine and Joseph Aresty Department of Urology, Keck School of Medicine, University of Southern California, Los Angeles, CA 90089, USA
raw_author_name: Aditya Desai
raw_affiliation_strings: Artificial Intelligence Center at USC Urology, Los Angeles, CA 90033, USA
USC Institute of Urology, Catherine and Joseph Aresty Department of Urology, Keck School of Medicine, University of Southern California, Los Angeles, CA 90089, USA
raw_author_name: Gus Miranda
raw_affiliation_strings: Artificial Intelligence Center at USC Urology, Los Angeles, CA 90033, USA
USC Institute of Urology, Catherine and Joseph Aresty Department of Urology, Keck School of Medicine, University of Southern California, Los Angeles, CA 90089, USA
raw_author_name: Jie Cai
raw_affiliation_strings: Artificial Intelligence Center at USC Urology, Los Angeles, CA 90033, USA
USC Institute of Urology, Catherine and Joseph Aresty Department of Urology, Keck School of Medicine, University of Southern California, Los Angeles, CA 90089, USA
raw_author_name: Vasileios Magoulianitis
raw_affiliation_strings: Artificial Intelligence Center at USC Urology, Los Angeles, CA 90033, USA
USC Institute of Urology, Catherine and Joseph Aresty Department of Urology, Keck School of Medicine, University of Southern California, Los Angeles, CA 90089, USA
raw_author_name: Karan Gill
raw_affiliation_strings: Artificial Intelligence Center at USC Urology, Los Angeles, CA 90033, USA
USC Institute of Urology, Catherine and Joseph Aresty Department of Urology, Keck School of Medicine, University of Southern California, Los Angeles, CA 90089, USA
raw_author_name: Gerhard Fuchs
raw_affiliation_strings: Artificial Intelligence Center at USC Urology, Los Angeles, CA 90033, USA
USC Institute of Urology, Catherine and Joseph Aresty Department of Urology, Keck School of Medicine, University of Southern California, Los Angeles, CA 90089, USA
raw_author_name: Mihir Desai
raw_affiliation_strings: Artificial Intelligence Center at USC Urology, Los Angeles, CA 90033, USA
USC Institute of Urology, Catherine and Joseph Aresty Department of Urology, Keck School of Medicine, University of Southern California, Los Angeles, CA 90089, USA
raw_author_name: Inderbir Gill
raw_affiliation_strings: Artificial Intelligence Center at USC Urology, Los Angeles, CA 90033, USA
USC Institute of Urology, Catherine and Joseph Aresty Department of Urology, Keck School of Medicine, University of Southern California, Los Angeles, CA 90089, USA
raw_author_name: Giovanni E. Cacciamani
raw_affiliation_strings: Artificial Intelligence Center at USC Urology, Los Angeles, CA 90033, USA
USC Institute of Urology, Catherine and Joseph Aresty Department of Urology, Keck School of Medicine, University of Southern California, Los Angeles, CA 90089, USA