Artificial Intelligence in Peer Review: Enhancing Efficiency While Preserving Integrity DOI Creative Commons
Bohdana Doskaliuk, Olena Zimba, Marlen Yessirkepov

et al.

Journal of Korean Medical Science, Journal Year: 2025, Volume and Issue: 40(7)

Published: Jan. 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.

Language: Английский

Peer Review and Scientific Publication at a Crossroads DOI Open Access
John P. A. Ioannidis,

Michael Berkwits,

Annette Flanagin

et al.

JAMA, Journal Year: 2023, Volume and Issue: 330(13), P. 1232 - 1232

Published: Sept. 22, 2023

The way science is assessed, published, and disseminated has markedly changed since 1986, when the launch of a new Congress focused on peer review was first announced.There have been 9 International Peer Review Congresses 1989, typically running an every-4-year cycle, most recently in 2022 after 1-year delay due to COVID-19 pandemic. 1Here, we announce that 10th Scientific Publication will be held Chicago, Illinois, September 3-5, 2025.The congresses enormously productive, incentivizing publicizing important empirical work into how produced, evaluated, disseminated. 2-4However, scientific publication are currently at crossroads their future more difficult than ever predict.][4][5] We accumulated large body evidence systems function they can malfunction.][18][19][20][21][22] Research revealed rapidly growing list biases, inefficiencies, threats trustworthiness published research, some now well recognized, others deserving attention. 2,3Moreover, practices continue change diversify response needs, tools, technologies as persistent "publish or perish" pressures scientists-as-authors.With continued evolution electronic platforms tools-most emergence use language models artificial intelligence (AI)-peer evolving address opportunities threats. 23,24Moreover, lot money stake; publishing huge market with one highest profit margins among all business enterprises, it supports massive biomedical broader economy.Many stakeholders try from influence literature ways do not necessarily serve enhance its benefits society.The number journal titles articles steadily increasing 25 ; many millions scientists coauthor papers, perverse reward help improve quality this burgeoning

Language: Английский

Citations

18
The state of artificial intelligence in medical research: A survey of corresponding authors from top medical journals DOI Creative Commons
Michele Salvagno, Alessandro De Cassai, Stefano Zorzi

et al.

PLoS ONE, Journal Year: 2024, Volume and Issue: 19(8), P. e0309208 - e0309208

Published: Aug. 23, 2024

Natural Language Processing (NLP) is a subset of artificial intelligence that enables machines to understand and respond human language through Large Models (LLMs)‥ These models have diverse applications in fields such as medical research, scientific writing, publishing, but concerns hallucination, ethical issues, bias, cybersecurity need be addressed. To the community’s understanding perspective on role Artificial Intelligence (AI) research authorship, survey was designed for corresponding authors top journals. An online conducted from July 13 th , 2023, September 1 st using SurveyMonkey web instrument, population interest were who published 2022 15 highest-impact journals, ranked by Journal Citation Report. The link has been sent all identified mail. A total 266 answered, 236 entered final analysis. Most researchers (40.6%) reported having moderate familiarity with intelligence, while minority (4.4%) had no associated knowledge. Furthermore, vast majority (79.0%) believe will play major future research. Of note, correlation between academic metrics knowledge or confidence found. results indicate although varying degrees its use still early phases. Despite lacking formal AI training, many scholars publishing high-impact journals started integrating technologies into their projects, including rephrasing, translation, proofreading tasks. Efforts should focus providing training effective use, establishing guidelines journal editors, creating software bundle multiple integrated tools single platform.

Language: Английский

Citations

8
Balancing AI and academic integrity: what are the positions of academic publishers and universities? DOI
Bashar Haruna Gulumbe,

Shuaibu Muhammad Audu,

A. Hashim

et al.

AI & Society, Journal Year: 2024, Volume and Issue: unknown

Published: April 27, 2024

Language: Английский

Citations

7
Assessing ChatGPT's ability to emulate human reviewers in scientific research: A descriptive and qualitative approach DOI
Aiman Suleiman, Dario von Wedel,

Ricardo Munoz-Acuna

et al.

Computer Methods and Programs in Biomedicine, Journal Year: 2024, Volume and Issue: 254, P. 108313 - 108313

Published: June 28, 2024

Language: Английский

Citations

7
ESR Journals editors’ joint statement on Guidelines for the Use of Large Language Models by Authors, Reviewers, and Editors DOI Open Access
Bernd Hamm, Luis Martí‐Bonmatí, Francesco Sardanelli

et al.

European Radiology, Journal Year: 2024, Volume and Issue: 34(8), P. 5049 - 5051

Published: Jan. 11, 2024

Language: Английский

Citations

6
The African Journal Partnership Program’s guidance on the use of AI in scholarly publishing DOI Creative Commons
Caradee Y. Wright,

Margaret Lartey,

Kenza Khomsi

et al.

Ghana Medical Journal, Journal Year: 2024, Volume and Issue: 58(1), P. 1 - 4

Published: March 25, 2024

The rapid introduction and evolution of artificial intelligence (AI), machine learning (ML), natural language processing (NLP), large models (LLMs) combined with the emergence text-generating chatbots have ushered in a transformative era scholarly publishing.

Language: Английский

Citations

5
A Comparative Review of Imaging Journal Policies for Use of AI in Manuscript Generation DOI
Onur Simsek, Amirreza Manteghinejad, Arastoo Vossough

et al.

Academic Radiology, Journal Year: 2024, Volume and Issue: 31(12), P. 5232 - 5236

Published: May 20, 2024

Language: Английский

Citations

5
ChatGPT’s Skills in Statistical Analysis Using the Example of Allergology: Do We Have Reason for Concern? DOI Open Access
Michał Ordak

Healthcare, Journal Year: 2023, Volume and Issue: 11(18), P. 2554 - 2554

Published: Sept. 15, 2023

Content generated by artificial intelligence is sometimes not truthful. To date, there have been a number of medical studies related to the validity ChatGPT's responses; however, lack addressing various aspects statistical analysis. The aim this study was assess answers provided ChatGPT in relation analysis, as well identify recommendations be implemented future connection with results obtained.

Language: Английский

Citations

11
Enhancing the quality of reporting of orthodontic clinical research DOI Open Access
Danchen Qin, Hong He, Yu‐Kang Tu

et al.

Seminars in Orthodontics, Journal Year: 2024, Volume and Issue: 30(1), P. 2 - 9

Published: Jan. 26, 2024

Language: Английский

Citations

4
Brave New Words: A Framework and Process for Developing Technology-Use Guidelines for Student Writing DOI Creative Commons
Ella August, Olivia S. Anderson,

Frederique Laubepin

et al.

Pedagogy in Health Promotion, Journal Year: 2024, Volume and Issue: 10(3), P. 187 - 196

Published: March 4, 2024

Health sciences instructors hold a wide range of opinions about generative artificial intelligence (GenAI) such as ChatGPT, Bing, and Bard; however, many are uncertain guiding students on how to use technology for assigned writing. Our survey 62 public health at single institution highlighted their perceived benefits, limitations, concerns student GenAI Perceived benefits included the completion tasks unrelated relevant learning spellchecking reference formatting, well certain writing activities brainstorming. Several identified preparation future workplace meaningful benefit. Important limitations worry that would inhibit learning, ethical equity-related concerns. Nearly half expressed whether using tools constitutes plagiarism or violates academic integrity. also indicated concern being able detect completed an assignment with tools. Developing thoughtful guidance is important it sets standards integrity supports learning. We used data applied backward design principles develop Brave New Words framework three-step process described in this paper. This intended help think through ultimately guidelines they should An example activity demonstrate framework.

Language: Английский

Citations

4