Identification of Human-Generated vs AI-Generated Research Abstracts by Health Care Professionals-Reference-Cited by-同舟云学术

Identification of Human-Generated vs AI-Generated Research Abstracts by Health Care Professionals

Published:2024-06-01 Issue:6 Volume:178 Page:625
ISSN:2168-6203
Container-title:JAMA Pediatrics
language:en
Short-container-title:JAMA Pediatr

Author:

Ren Dennis¹,Tagg Andrew James²,Wilcox Helena³,Roland Damian⁴⁵

Affiliation:

1. Division of Emergency Medicine, Children’s National Hospital, Washington, DC

2. Sunshine Hospital, Melbourne, Victoria, Australia

3. St George’s University Hospitals, National Health Service Foundation Trust, London, United Kingdom

4. SAPPHIRE Group, Population Health Sciences, Leicester University, Leicester, United Kingdom

5. Paediatric Emergency Medicine Leicester Academic (PEMLA) Group, Children's Emergency Department, Leicester Royal Infirmary, Leicester, United Kingdom

Abstract

This survey study assesses the ability of health care professionals to discern whether abstracts were written by investigators or by an artificial intelligence (AI) chatbot.

Publisher

American Medical Association (AMA)

Link

https://jamanetwork.com/journals/jamapediatrics/articlepdf/2818136/jamapediatrics_ren_2024_ld_240012_1716226332.1345.pdf

Reference6 articles.

1. A bibliometric analysis of the rise of ChatGPT in medical research.;Barrington;Med Sci (Basel),2023

2. A role for artificial intelligence chatbots in the writing of scientific articles.;Vintzileos;Am J Obstet Gynecol,2023

3. Generative artificial intelligence: can ChatGPT write a quality abstract?;Babl;Emerg Med Australas,2023

4. ChatGPT, artificial intelligence and scientific writing: what authors, peer reviewers and editors should know.;Misra;J R Coll Physicians Edinb,2023

5. Abstracts written by ChatGPT fool scientists.;Else;Nature,2023

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