Cureus Journal of AI-Augmented Research [electronic resource] / / edited by Meghashri Sharath.. — : online resource.

Анотація:
Journal Mission The Cureus Journal of AI-Augmented Research (CJAI) publishes high-quality research that demonstrates how artificial intelligence is advancing scientific inquiry across all disciplines. CJAI serves as a home for researchers using AI to push the boundaries of what's possible in their fields, while maintaining rigorous standards for transparency, reproducibility, and validation. What We Publish CJAI welcomes submissions that showcase AI's role in research through: AI Methods and Application Research demonstrating how AI techniques enable new analyses, improve research efficiency, or achieve outcomes not possible with traditional methods. This includes Novel AI applications in any research domain (healthcare, materials science, climate, social sciences, etc.) highlighting how new and innovative AI methodologies improve the performance within the chosen application domain. Validation studies comparing AI approaches to traditional methods Methodological advances adapting AI techniques for specific research challenges Tool and algorithm development for research applications Reproducibility studies validating or extending previous AI research Negative results documenting when and why AI approaches did not improve outcomes AI Impact and Implications Research evaluating AI's broader effects on research practices, scientific workflows, and societal outcomes, including: Workflow and productivity studies measuring AI's impact on research efficiency Implementation research examining barriers and facilitators to AI adoption Ethical analyses of AI use in research contexts Policy and governance studies informing responsible AI use Equity and access studies examining how AI affects research opportunities Comparative studies evaluating AI versus traditional research approaches Cross-Cutting Themes CJAI particularly values submissions that: Demonstrate clear AI contribution - Show what AI uniquely enables Emphasize reproducibility - Provide code, data, and detailed methods Include rigorous validation - Substantiate all performance claims Acknowledge limitations - Honestly discuss where AI falls short Consider broader implications - Discuss ethical, equity, or policy dimensions Share negative results - Help the community learn from what doesn't work .

ISSN: 3120-4872 = Cureus J AI-Aug Res

Standard No.: 44568 local

Subjects--Topical Terms:
Artificial intelligence.
Artificial Intelligence.