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Updated: Jan 18, 2026

05:37
An R-Based Landscape Validation of a Competing Risk Model
Published on: September 16, 2022
2.5K
Can AI help authors prepare better risk science manuscripts?
Louis Anthony Cox1, Terje Aven2, Seth Guikema3
1Cox Associates, and University of Colorado, Denver, Colorado, USA.
Summary
Artificial intelligence (AI) tools show potential for enhancing scientific peer review. While one AI system for journal fit was useful, another offering technical feedback received mixed reviews, indicating a need for further development.
Area of Science:
- Scientific publishing
- Artificial intelligence
- Scholarly communication
Background:
- The integration of artificial intelligence (AI) into scientific peer review is a growing area of interest for researchers, publishers, and editors.
- Concerns exist regarding AI's potential to either improve manuscript quality and efficiency or introduce errors and erode trust.
Keywords:
artificial intelligenceaugmented intelligencehuman–machine interactionlarge language models (LLMs)peer reviewrisk analysisscientific journalsscientific publishingMore Related Videos
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