Clin2
NCT07844746Likely a fitNot yet recruiting

Teaching medical students to catch fake AI citations

Medical EducationGenerative Artificial Intelligence

This study tests a new way to teach medical students how to check if citations created by artificial intelligence are real or made up. If you join, you'll help improve training for future doctors in spotting false information.

Summary written for real people, not researchers, by Clin2.

Phase
N/A
Enrollment
320 people
Ages
Any age
Study type
Interventional

Who can take part

  • You must be a medical student in your 3rd, 4th, or 5th year at Quaid-e-Azam Medical College, Bahawalpur.
  • You should have had basic coursework in research methods or how to search scientific literature.
  • You must not have had formal, structured training on verifying AI-generated citations before.
  • You must not have taken part in earlier development or testing of the SARA assessment tools.
  • You must be willing to sign a consent form to participate.

View the official record on ClinicalTrials.gov

Quick eligibility check

Answer a few plain-language questions, based on this study's own requirements, to get a preliminary sense of fit.

Similar studies

Other trials that look related to this one.

NCT07624682Enrolling by invitation
AI Training Tool for Clinical Reasoning Skills

This study tests whether an AI assistant can help medical students learn better clinical reasoning skills. Students will use the AI tool during their comprehensive clinical training course and complete assessments to see if it improves their learning.

Beijing, Beijing Municipality
NCT07449182Recruiting
AI Educational Agent for Medical Machine Learning

This trial tests an AI educational agent that helps teach medical machine learning. If you are a medical graduate student in the Greater Bay Area who has already taken a machine learning course and completed certain prerequisites, you may be able to join.

Guangzhou, Guangdong
NCT07813754Enrolling by invitation
Artificial intelligence workshop for doctors in training

This study tests a workshop that helps doctors in training make better diagnoses using artificial intelligence (AI). If you are a resident or fellow in internal medicine, family medicine, or emergency medicine, you might be eligible to take part.

Palo Alto, California
NCT07752160Recruiting
AI study assistant for medical students

This study is testing an AI-powered study assistant to help medical students learn. It aims to see if this tool can improve the learning experience and outcomes.

Yiwu, Zhejiang
NCT07408492Not yet recruiting
AI research training for nursing students

This study tests if an AI-based training program helps nursing students improve their research skills. It may help you learn how to use artificial intelligence in research.

NCT07010991Recruiting
AI teaching to improve clinical reasoning skills

This trial tests if an AI-based educational method helps undergraduate students develop better clinical reasoning skills. It compares this approach to standard learning.

Istanbul, Kavacık Beykoz

Hear when a new Medical Education trial opens

We’ll email you when one opens — at most once a week, no account needed, unsubscribe anytime.