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Enhancing Readability of Lay Abstracts and Summaries for Medical Knowledge Using Generative Artificial Intelligence (BRIDGE AI 3)

NCT07568444 · Status: COMPLETED · Phase: PHASE2 · Type: INTERVENTIONAL · Enrollment: 120

Last updated 2026-05-06

No results posted yet for this study

Summary

This trial tests if AI can help make medical info clear and readable. Many patients struggle to find medical informations that easy to read and understand from verified medical sources. The study tests if an AI tool can assist health providers to craft clear text for patients more fast than what they do now. Health providers are split at random into two groups-one uses the AI tool and one does not. The trial tests how clear the text is, how correct it is, and how much time is saved. The aim is to see if AI can close the gap between complex research and what patients can grasp.

Conditions

  • Prostate Cancer (Adenocarcinoma)
  • Bladder Cancer
  • Kidney Cancers
  • Testis Cancer

Interventions

OTHER

Pub2Post

Pub2Post, a generative artificial intelligence agent which helps in drafting the layperson abstracts and summaries

Sponsors & Collaborators

  • University of Southern California

    lead OTHER

Study Design

Allocation
RANDOMIZED
Purpose
HEALTH_SERVICES_RESEARCH
Masking
SINGLE
Model
PARALLEL

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2025-01-16
Primary Completion
2025-01-22
Completion
2025-02-27

Countries

  • United States

Study Locations

More Related Trials

Entities

Diseases

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT07568444 on ClinicalTrials.gov