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Artificial intelligence in academic writing: a paradigm-shifting technological advance

Nature Reviews Urology volume 20, pages 327–328 (2023)Cite this article

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Artificial intelligence (AI) has rapidly become one of the most important and transformative technologies of our time, with applications in virtually every field and industry. Among these applications, academic writing is one of the areas that has experienced perhaps the most rapid development and uptake of AI-based tools and methodologies. We argue that use of AI-based tools for scientific writing should widely be adopted.

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References

  1. Checco, A., Bracciale, L., Loreti, P., Pinfield, S. & Bianchi, G. AI-assisted peer review. Humanit. Soc. Sci. Commun. 8, 25 (2021).

    Article  Google Scholar 

  2. Hutson, M. Could AI help you to write your next paper? Nature 611, 192–193 (2022).

    Article  CAS  PubMed  Google Scholar 

  3. Krzastek, S. C., Farhi, J., Gray, M. & Smith, R. P. Impact of environmental toxin exposure on male fertility potential. Transl Androl. Urol. 9, 2797–2813 (2020).

    Article  PubMed  PubMed Central  Google Scholar 

  4. Khullar, D. Social media and medical misinformation: confronting new variants of an old problem. JAMA 328, 1393–1394 (2022).

    Article  PubMed  Google Scholar 

  5. Reddy, R. V. et al. Assessing the quality and readability of online content on shock wave therapy for erectile dysfunction. Andrologia 54, e14607 (2022).

    Article  PubMed  Google Scholar 

  6. Khodamoradi, K., Golan, R., Dullea, A. & Ramasamy, R. Exosomes as potential biomarkers for erectile dysfunction, varicocele, and testicular injury. Sex. Med. Rev. 10, 311–322 (2022).

    Article  PubMed  Google Scholar 

  7. Stone, L. You’ve got a friend online. Nat. Rev. Urol. 17, 320 (2020).

    PubMed  Google Scholar 

  8. Pai, R. K. et al. A review of current advancements and limitations of artificial intelligence in genitourinary cancers. Am. J. Clin. Exp. Urol. 8, 152–162 (2020).

    PubMed  PubMed Central  Google Scholar 

  9. You, J. B. et al. Machine learning for sperm selection. Nat. Rev. Urol. 18, 387–403 (2021).

    Article  PubMed  Google Scholar 

  10. Stone, L. The dawning of the age of artificial intelligence in urology. Nat. Rev. Urol. 18, 322 (2021).

    Article  PubMed  Google Scholar 

Download references

Acknowledgements

The manuscript was edited for grammar and structure using the advanced language model ChatGPT. The authors thank S. Verma for addressing inquiries related to artificial intelligence.

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Author notes

  1. These authors contributed equally: Roei Golan, Rohit Reddy.

Authors and Affiliations

  1. Department of Clinical Sciences, Florida State University College of Medicine, Tallahassee, FL, USA

    Roei Golan

  2. Desai Sethi Urology Institute, University of Miami Miller School of Medicine, Miami, FL, USA

    Rohit Reddy, Akhil Muthigi & Ranjith Ramasamy

Authors
  1. Roei Golan
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  2. Rohit Reddy
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  3. Akhil Muthigi
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  4. Ranjith Ramasamy
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Corresponding author

Correspondence to Ranjith Ramasamy.

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Competing interests

R.R. is funded by the National Institutes of Health Grant R01 DK130991 and the Clinician Scientist Development Grant from the American Cancer Society. The other authors declare no competing interests.

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Related links

ChatGPT: https://chat.openai.com/

Cohere: https://cohere.ai/

CoSchedule Headline Analyzer: https://coschedule.com/headline-analyzer

DALL-E 2: https://openai.com/dall-e-2/

Elicit: https://elicit.org/

Penelope.ai: https://www.penelope.ai/

Quillbot: https://quillbot.com/

Semantic Scholar: https://www.semanticscholar.org/

Wordtune by AI21 Labs: https://www.wordtune.com/

Writefull: https://www.writefull.com/

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Golan, R., Reddy, R., Muthigi, A. et al. Artificial intelligence in academic writing: a paradigm-shifting technological advance. Nat Rev Urol 20, 327–328 (2023). https://doi.org/10.1038/s41585-023-00746-x

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