PURPOSE: Artificial intelligence (AI) models can generate scientific abstracts that are difficult to distinguish from the work of human authors. The use of AI in scientific writing and performance of AI detection tools are poorly characterized.
OBJECTIVE: Systematic literature reviews (SLRs) are critical for life-science research. However, the manual selection and retrieval of relevant publications can be a time-consuming process. This study aims to (1) develop two disease-specific annotate...
American journal of obstetrics and gynecology
38710267
BACKGROUND: ChatGPT, a publicly available artificial intelligence large language model, has allowed for sophisticated artificial intelligence technology on demand. Indeed, use of ChatGPT has already begun to make its way into medical research. Howeve...
The Journal of the American Academy of Orthopaedic Surgeons
38941622
INTRODUCTION: While most orthopaedic journals permit the use of artificial intelligence (AI) in article development, they require that AI not be listed as an author, that authors take full responsibility for its accuracy, and that AI use be disclosed...
Arthroscopy : the journal of arthroscopic & related surgery : official publication of the Arthroscopy Association of North America and the International Arthroscopy Association
38992513
PURPOSE: To evaluate the extent to which experienced reviewers can accurately discern between artificial intelligence (AI)-generated and original research abstracts published in the field of shoulder and elbow surgery and compare this with the perfor...
This study aimed to assess the ability of an artificial intelligence (AI)-based chatbot to generate abstracts from academic psychiatric articles. We provided 30 full-text psychiatric papers to ChatPDF (based on ChatGPT) and prompted generating a simi...
Arthroscopy : the journal of arthroscopic & related surgery : official publication of the Arthroscopy Association of North America and the International Arthroscopy Association
39243996
There has been exponential growth in the number of artificial intelligence (AI)- and machine learning (ML)-related publications in recent years. For example, in the field of shoulder and elbow surgery, there was a 6-fold increase in the number of pub...
Journal of the American Medical Informatics Association : JAMIA
39042516
OBJECTIVE: This paper aims to address the challenges in abstract screening within systematic reviews (SR) by leveraging the zero-shot capabilities of large language models (LLMs).