AIMC Topic: Periodicals as Topic

Clear Filters Showing 61 to 70 of 166 articles

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.

An artificial intelligence tool misclassifies sport science journals as predatory.

Journal of science and medicine in sport
OBJECTIVES: The choice of a scholarly journal, as opposed to a predatory journal, might impact a sport scientist's career negatively if the wrong choice is made, especially at an early stage of their research and publishing careers. Artificial intell...

The endorsement of general and artificial intelligence reporting guidelines in radiological journals: a meta-research study.

BMC medical research methodology
BACKGROUND: Complete reporting is essential for clinical research. However, the endorsement of reporting guidelines in radiological journals is still unclear. Further, as a field extensively utilizing artificial intelligence (AI), the adoption of bot...

Revealing Academic Evolution and Frontier Pattern in the Field of Uveitis Using Bibliometric Analysis, Natural Language Processing, and Machine Learning.

Ocular immunology and inflammation
PURPOSE: Numerous uveitis articles were published in this century, underneath which hides valuable intelligence. We aimed to characterize the evolution and patterns in this field.

Are there accurate and legitimate ways to machine-quantify predatoriness, or an urgent need for an automated online tool?

Accountability in research
Yamada and Teixeira da Silva voiced valid concerns with the inadequacies of an online machine learning-based tool to detect predatory journals, and stressed on the urgent need for an automated, open, online-based semi-quantitative system that measure...

Let's be fair. What about an AI editor?

Accountability in research
Much of the current attention on artificial intelligence (AI)-based natural language processing (NLP) systems has focused on research ethics and integrity but neglects their roles in the editorial and peer-reviewing process. We argue that the academi...