Artificial Hallucinations in ChatGPT: Implications in Scientific Writing

Искусственные галлюцинации в ChatGPT: значение для научной публикации
Samy I. McFarlane, Hussam Alkaissi
2023-02-19

ChatGPTartificial hallucinationshomocystinuria-associated osteoporosislate-onset Pompe diseasescientific writing
While still in its infancy, ChatGPT (Generative Pretrained Transformer), introduced in November 2022, is bound to hugely impact many industries, including healthcare, medical education, biomedical research, and scientific writing. Implications of ChatGPT, that new chatbot introduced by OpenAI on academic writing, is largely unknown. In response to the Journal of Medical Science (Cureus) Turing Test - call for case reports written with the assistance of ChatGPT, we present two cases one of homocystinuria-associated osteoporosis, and the other is on late-onset Pompe disease (LOPD), a rare metabolic disorder. We tested ChatGPT to write about the pathogenesis of these conditions. We documented the positive, negative, and rather troubling aspects of our newly introduced chatbot's performance.
1
ChatGPT was tested specifically on generating descriptions of the pathogenesis of these two medical conditions.
2
The authors document both beneficial and negative aspects of ChatGPT’s performance in biomedical writing.
3
The paper evaluates ChatGPT-assisted scientific writing through two case reports on homocystinuria-associated osteoporosis and late-onset Pompe disease.
4
The paper highlights troubling aspects of ChatGPT-generated scientific content, underscoring potential risks for academic and medical writing.
5
The study provides an early assessment of ChatGPT’s implications for healthcare, biomedical research, medical education, and scientific writing.

ChatGPT-assisted scientific writing about the pathogenesis of homocystinuria-associated osteoporosis and late-onset Pompe disease

ChatGPT’s performance, including its positive, negative, and artificial-hallucination aspects, in generating disease-pathogenesis content

Publication Details
Publication Date
2023-02-19
Journal
Publisher
ISSN
Cited by
1552
Access Type
Author Information
Authors
Samy I. McFarlane
Hussam Alkaissi
Explore further
Open the scid.ai AI chat with a ready-made request: it will find papers on a similar topic and help build a literature review.
Find similar papers in the chat
Make a presentation
100%