Artificial Intelligence in Peer Review: Enhancing Efficiency While Preserving Integrity
Ivano-Frankivsk National Medical University · Danylo Halytsky Lviv National Medical University · +3 more institutions
Abstract
The rapid advancement of artificial intelligence (AI) has transformed various aspects of 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 and reviewers. These applications range from automated language and grammar checks to plagiarism detection, format compliance, and even preliminary assessment of research significance. While AI substantially benefits the efficiency and accuracy of academic processes, its integration raises critical ethical and methodological questions, particularly in peer review. AI lacks the subtle understanding of…
Citation impact
- FWCI
- 24.42
- Percentile
- 100%
- References
- 29
Authors
5- BDBohdana DoskaliukCorresponding
Ivano-Frankivsk National Medical University
- OZOlena Zimba
Danylo Halytsky Lviv National Medical University, National Institute of Geriatrics, Rheumatology and Rehabilitation, Krakow Cardiovascular Research Institute
- MYMarlen Yessirkepov
South Kazakhstan Medical Academy
- ІПІ. П. Кліщ
Ivano-Frankivsk National Medical University
- RYRoman Yatsyshyn
Ivano-Frankivsk National Medical University
Topics & keywords
- Computer science
- Artificial intelligence