Skip to main content

Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.

  • Comment
  • Published:

Unlocking the power of AI to accelerate scientific progress and global collaboration

Pediatric Research volume 94, pages 873–874 (2023)Cite this article

As a scientific community, we are privileged to benefit from a vast wealth of knowledge and research that is being carried out around the world. However, one of the biggest challenges for non-native English speakers is writing and publishing their work. It can be a daunting task, as the language barrier can make it difficult to articulate their findings effectively. As we move further into the twenty-first century, the scientific community is becoming increasingly global. Researchers from around the world are collaborating on projects and sharing information to push the boundaries of our knowledge. However, language barriers can still present challenges to these efforts.

Fortunately, we now have access to technologies like artificial intelligence that can help researchers overcome language barriers and improve the quality of their research papers. With artificial intelligence software, non-English speakers can receive automated feedback on their writing, with suggestions for grammatical corrections, language usage, and clarity.1 This is where artificial intelligence can play a crucial role in facilitating communication and collaboration.

This is a preview of subscription content, access via your institution

Access options

Buy this article

  • Purchase on Springer Link
  • Instant access to full article PDF
Buy now

Prices may be subject to local taxes which are calculated during checkout

References

  1. Isaeva, E. Computer-aided instruction for efficient academic writing. In Advances in Artificial Systems for Medicine and Education V (eds Hu, Z., Petoukhov, S. & He, M.) 546–555 (Springer International Publishing, 2022)

  2. Dwivedi, Y. K. et al. Artificial intelligence (AI): multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice and policy. Int. J. Inf. Manag. 57, 101994 (2021).

    Article  Google Scholar 

  3. Dongare, A. D., Kharde, R. R. & Kachare, A. D. Introduction to artificial neural network. Int. J. Eng. Innov. Technol. 2, 189–194 (2012).

    Google Scholar 

  4. Vayena, E., Blasimme, A. & Cohen, I. G. Machine learning in medicine: addressing ethical challenges. PLoS Med. 15, e1002689, https://doi.org/10.1371/journal.pmed.1002689 (2018).

    Article  PubMed  PubMed Central  Google Scholar 

  5. Gao, C. A. et al. Comparing scientific abstracts generated by ChatGPT to original abstracts using an artificial intelligence output detector, plagiarism detector, and blinded human reviewers. Preprint at bioRxiv 2022-12 (2022).

Download references

Author information

Authors and Affiliations

  1. Department of Pediatrics, University of Arkansas for Medical Sciences, Little Rock, AR, USA

    Abdallah Dalabih & Salim Aljabari

Authors
  1. Abdallah Dalabih
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Salim Aljabari
    View author publications

    You can also search for this author in PubMed Google Scholar

Contributions

A.D.: substantial contributions to conception and design, drafting the article, and final approval of the version to be published. S.A.: substantial contributions to conception and design, revision of the article critically for important intellectual content, and final approval of the version to be published.

Corresponding author

Correspondence to Abdallah Dalabih.

Ethics declarations

Competing interests

The authors declare no competing interests.

Additional information

Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Dalabih, A., Aljabari, S. Unlocking the power of AI to accelerate scientific progress and global collaboration. Pediatr Res 94, 873–874 (2023). https://doi.org/10.1038/s41390-023-02590-6

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1038/s41390-023-02590-6

Search

Advanced search

Quick links