Artificial intelligence/machine learning and journalology: Challenges and opportunities-Reference-Cited by-同舟云学术

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Artificial intelligence/machine learning and journalology: Challenges and opportunities

Published:2024-01-29 Issue:2 Volume:103 Page:196-198
ISSN:0001-6349
Container-title:Acta Obstetricia et Gynecologica Scandinavica
language:en
Short-container-title:Acta Obstet Gynecol Scand

Author:

Shah Prakesh S.¹^ORCID,Acharya Ganesh²³^ORCID

Affiliation:

1. Department of Pediatrics Mount Sinai Hospital, University of Toronto Toronto Ontario Canada

2. Department of Clinical Science, Intervention and Technology (CLINTEC) Karolinska Institutet and Center for Fetal Medicine, Karolinska University Hospital Stockholm Sweden

3. Women's Health and Perinatology Research Group UiT – The Arctic University of Norway Tromsø Norway

Publisher

Wiley

Link

https://obgyn.onlinelibrary.wiley.com/doi/pdf/10.1111/aogs.14772

Reference10 articles.

1. Abstracts written by ChatGPT fool scientists

2. CuiC.2023. Accessed November 25 2023.https://www.turnitin.com/about/

3. GPTZero: towards detection of AI‐generated text using zero‐shot and supervised methods;Tian E;GPTZero,2023

4. Open AI.2023. Accessed November 25 2023.https://openai.com/chatgpt

5. Artificial intelligence, authorship, and medical publishing. ACR open;Solomon DH;Rheumatology,2023

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