AIMC Topic: Abstracting and Indexing

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Quality and correctness of AI-generated versus human-written abstracts in psychiatric research papers.

Psychiatry research
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...

Identification of ChatGPT-Generated Abstracts Within Shoulder and Elbow Surgery Poses a Challenge for Reviewers.

Arthroscopy : the journal of arthroscopic & related surgery : official publication of the Arthroscopy Association of North America and the International Arthroscopy Association
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...

Rise of the Machines: The Prevalence and Disclosure of Artificial Intelligence-Generated Text in High-Impact Orthopaedic Journals.

The Journal of the American Academy of Orthopaedic Surgeons
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...

It takes one to know one-Machine learning for identifying OBGYN abstracts written by ChatGPT.

International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics

Machine learning models for abstract screening task - A systematic literature review application for health economics and outcome research.

BMC medical research methodology
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...

Human vs machine: identifying ChatGPT-generated abstracts in Gynecology and Urogynecology.

American journal of obstetrics and gynecology
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...

Letter to the Editor: It takes one to know one-Machine learning for identifying OBGYN abstracts written by ChatGPT.

International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics

It takes one to know one-Machine learning for identifying OBGYN abstracts written by ChatGPT.

International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics
OBJECTIVES: To use machine learning to optimize the detection of obstetrics and gynecology (OBGYN) Chat Generative Pre-trained Transformer (ChatGPT) -written abstracts of all OBGYN journals.

Development and validation of a machine-learning algorithm to predict the relevance of scientific articles within the field of teratology.

Reproductive toxicology (Elmsford, N.Y.)
The Dutch Teratology Information Service Lareb counsels healthcare professionals and patients about medication use during pregnancy and lactation. To keep the evidence up to date, employees perform a standardized weekly PubMed query where relevant li...