Artificial Intelligence in Peer Review: Enhancing Efficiency While Preserving Integrity

Journal of Korean Medical Science, Год журнала: 2025, Номер 40(7)

Опубликована: Янв. 1, 2025

The rapid advancement of artificial intelligence (AI) has transformed various aspects scientific research, including academic publishing and peer review. In recent years, AI tools such as large language models have demonstrated their capability to streamline numerous tasks traditionally handled by human editors reviewers. These applications range from automated grammar checks plagiarism detection, format compliance, even preliminary assessment research significance. While substantially benefits the efficiency accuracy processes, its integration raises critical ethical methodological questions, particularly in lacks subtle understanding complex content that expertise provides, posing challenges evaluating novelty Additionally, there are risks associated with over-reliance on AI, potential biases algorithms, concerns related transparency, accountability, data privacy. This review evaluates perspectives within community integrating publishing. By exploring both AI's limitations, we aim offer practical recommendations ensure is used a supportive tool, supporting but not replacing expertise. Such guidelines essential for preserving integrity quality work while benefiting efficiencies editorial processes.

Язык: Английский

The emerging paradigm in pediatric rheumatology: harnessing the power of artificial intelligence

Rheumatology International, Год журнала: 2024, Номер 44(11), С. 2315 - 2325

Опубликована: Июль 16, 2024

Artificial intelligence algorithms, with roots extending into the past but experiencing a resurgence and evolution in recent years due to their superiority over traditional methods contributions human capabilities, have begun make presence felt field of pediatric rheumatology. In ever-evolving realm rheumatology, there been incremental advancements supported by artificial understanding stratifying diseases, developing biomarkers, refining visual analyses, facilitating individualized treatment approaches. However, like many other domains, these strides yet gain clinical applicability validation, ethical issues remain unresolved. Furthermore, mastering different novel terminologies appears challenging for clinicians. This review aims provide comprehensive overview current literature, categorizing algorithms applications, thus offering fresh perspective on nascent relationship between rheumatology intelligence, highlighting both its constraints.

Язык: Английский

Ethics statements in Rheumatology journals: present practices and future directions

Rheumatology International, Год журнала: 2024, Номер unknown

Опубликована: Сен. 26, 2024

Язык: Английский