Cureus Journal of AI-Augmented Research (Запис № 579934)

МАРК-запис
000 -LEADER
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001 - CONTROL NUMBER
control field 3120-4872
003 - CONTROL NUMBER IDENTIFIER
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005 - DATE AND TIME OF LATEST TRANSACTION
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007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
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008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
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022 ## - INTERNATIONAL STANDARD SERIAL NUMBER
International Standard Serial Number 3120-4872
024 7# - OTHER STANDARD IDENTIFIER
Standard number or code 44568
Source of number or code local
210 10 - ABBREVIATED TITLE
Abbreviated title Cureus J AI-Aug Res
245 10 - TITLE STATEMENT
Title Cureus Journal of AI-Augmented Research
Medium [electronic resource] /
Statement of responsibility, etc edited by Meghashri Sharath.
264 #1 -
-- New York :
-- Springer US :
-- Imprint: Springer Nature.
300 ## - PHYSICAL DESCRIPTION
Other physical details online resource.
520 ## - SUMMARY, ETC.
Summary, etc 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 .
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Artificial intelligence.
650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Artificial Intelligence.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Sharath, Meghashri.
Relator term editor.
Relator code edt
-- http://id.loc.gov/vocabulary/relators/edt
9 (RLIN) 24068
710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element SpringerLink (Online service)
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="http://link.springer.com/journal/44568">http://link.springer.com/journal/44568</a>
Public note Open Access

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