Review
BibTex RIS Cite
Year 2024, Volume: 6 Issue: 1, 97 - 104, 15.01.2024
https://doi.org/10.38053/acmj.1367414

Abstract

Project Number

n/a

References

  • Bohr A, Memarzadeh K. The rise of artificial intelligence in healthcare applications. Artificial Intelligence Healthc. 2020;1:25-60. doi: 10.1016/B978-0-12-818438-7.00002-2
  • Basu K, Sinha R, Ong A, Basu T. Artificial intelligence: how is it changing medical sciences and its future? Indian J Dermatol. 2020;65(5):365-370.
  • OpenAI. ChatGPT Release Notes. 2021. https://help.openai.com/en/articles/6825453-chatgpt-release-notes. Accessed March 21, 2023.
  • Mese I, Taslicay CA, Sivrioglu AK. Improving radiology workflow using ChatGPT and artificial intelligence. Clin Imaging. 2023;103:109993.
  • Sallam M. ChatGPT utility in healthcare education, research, and practice: systematic review on the promising perspectives and valid concerns. Healthcare. 2023;11(6):887.
  • Homolak J. Opportunities and risks of ChatGPT in medicine, science, and academic publishing: a modern Promethean dilemma. Croat Med J. 2023;64(1):1-3.
  • Khan RA, Jawaid M, Khan AR, Sajjad M. ChatGPT - reshaping medical education and clinical management. Pak J Med Sci. 2023;39(2):605-607.
  • Else H. Abstracts written by ChatGPT fool scientists. Nature. 2023;613(7944):423.
  • Temsah O, Khan SA, Chaiah Y, et al. Overview of early ChatGPT’s presence in medical literature: insights from a hybrid literature review by ChatGPT and human experts. Cureus. 2023;15(4):e37281.
  • Ray PP. ChatGPT: a comprehensive review on background, applications, key challenges, bias, ethics, limitations and future scope. Internet Things Cyber-Physic Sys. 2023;3:121-154.
  • Liebrenz M, Schleifer R, Buadze A, Bhugra D, Smith A. Generating scholarly content with ChatGPT: ethical challenges for medical publishing. Lancet Digit Health. 2023;5(3):E105-E106.
  • Kallestinova ED. How to write your first research paper. Yale J Biol Med. 2011;84(3):181-190.
  • Colthorpe K, Mehari Abraha H, Zimbardi K, et al. Assessing students’ ability to critically evaluate evidence in an inquiry-based undergraduate laboratory course. Adv Physiol Educ. 2017;41(1):154-162.
  • Lerchenfeldt S, Mi M, Eng M. The utilization of peer feedback during collaborative learning in undergraduate medical education: a systematic review. BMC Med Educ. 2019;19(1):321.
  • Groves T. What makes a high quality clinical research paper? Oral Dis. 2010;16(4):313-315.
  • Lee H. The rise of ChatGPT: exploring its potential in medical education. Anat Sci Educ. 2023;00:1-6. doi: 10.1002/ase.2270.
  • Shen N, Bernier T, Sequeira L, et al. Understanding the patient privacy perspective on health information exchange: a systematic review. Int J Med Inform. 2019;125:1-12.
  • Garattini L, Padula A, Mannucci PM. Conflicts of interest in medicine: a never-ending story. Intern Emerg Med. 2020;15(3):357-359.
  • Kadam RA. Informed consent process: a step further towards making it meaningful! Perspect Clin Res. 2017;8(3):107-112.
  • Dobrow MJ, Miller FA, Frank C, Brown AD. Understanding relevance of health research: considerations in the context of research impact assessment. Health Res Policy Sys. 2017;15(1):31.
  • Sinha RK, Deb Roy A, Kumar N, Mondal H. Applicability of ChatGPT in assisting to solve higher order problems in pathology. Cureus. 2023;15(2):e35237.
  • Cherry MG, Fletcher I, O’Sullivan H, Dornan T. Emotional intelligence in medical education: a critical review. Med Educ. 2014;48(5):468-478.
  • Marsh CA, Browne J, Taylor J, Davis D. A researcher’s journey: exploring a sensitive topic with vulnerable women. Women Birth. 2017;30(1):63-69.
  • Walls P, Parahoo K, Fleming P, Mccaughan E. Issues and considerations when researching sensitive issues with men: examples from a study of men and sexual health. Nurse Res. 2010;18(1):26-34.
  • Seghier M. Using ChatGPT and other AI‐assisted tools to improve manuscripts readability and language. Int J Imaging Syst Technol. 2023;33(3):773-775.
  • Donmez I, Idil S, Gulen S. Conducting academic research with the AI interface ChatGPT: challenges and opportunities. J STEAM Educat. 2023;6(2):101-118.
  • Kim SG. Using ChatGPT for language editing in scientific articles. Maxillofac Plast Reconstr Surg. 2023;45(1):13.
  • Salvagno M, Taccone FS, Gerli AG. Can artificial intelligence help for scientific writing? Crit Care. 2023;27(1):75.
  • Smith R. Peer review: a flawed process at the heart of science and journals. J R Soc Med. 2006;99(4):178-182.
  • Chen PH. Essential elements of natural language processing: what the radiologist should know. Acad Radiol. 2020;27(1):6-12.
  • Gao CA, Howard FM, Markov NS, et al. Comparing scientific abstracts generated by ChatGPT to real abstracts with detectors and blinded human reviewers. NPJ Digit Med. 2023;6(1):75.
  • Mese I, Altıntaş Taslicay C, Kuzan BN, Kuzan T, Sivrioglu AK. Educating the next generation of radiologists: a comparative report of ChatGPT and e-learning resources. Diagn Interv Radiol. 25 December 2023 [Epub Ahead of Print]. doi: 10.4274/dir.2023.232496

ChatGPT in medical writing: enhancing healthcare communication through artificial intelligence and human expertise

Year 2024, Volume: 6 Issue: 1, 97 - 104, 15.01.2024
https://doi.org/10.38053/acmj.1367414

Abstract

This study explores the capabilities and limitations of ChatGPT, an advanced language model, in medical writing. Leveraging the GPT-4 architecture, ChatGPT has shown potential in aiding various stages of medical article creation, including planning, drafting, revising, and even submission processes. It can summarize extensive literature, suggest research questions, and assist in multi-language research, making it a versatile tool for initial research and planning. During revisions, ChatGPT’s strengths lie in improving language, ensuring consistency, and enhancing readability. Despite its abilities, ChatGPT has several limitations. ChatGPT’s training data only updates with each new version release, which could result in outdated or incomplete research. It also lacks the critical thinking, domain expertise, and ethical considerations that human researchers bring to medical writing. While ChatGPT can be a useful tool for routine tasks and initial drafts, human expertise remains critical for generating high-quality, ethical, and insightful medical research articles. Therefore, a hybrid approach that combines the computational power of ChatGPT with the intellectual and ethical rigor of human experts is recommended for optimizing medical writing processes.

Ethical Statement

In the conduct and reporting of this research, the authors have fully adhered to the principles outlined in the Declaration of Helsinki.

Supporting Institution

n/a

Project Number

n/a

Thanks

n/a

References

  • Bohr A, Memarzadeh K. The rise of artificial intelligence in healthcare applications. Artificial Intelligence Healthc. 2020;1:25-60. doi: 10.1016/B978-0-12-818438-7.00002-2
  • Basu K, Sinha R, Ong A, Basu T. Artificial intelligence: how is it changing medical sciences and its future? Indian J Dermatol. 2020;65(5):365-370.
  • OpenAI. ChatGPT Release Notes. 2021. https://help.openai.com/en/articles/6825453-chatgpt-release-notes. Accessed March 21, 2023.
  • Mese I, Taslicay CA, Sivrioglu AK. Improving radiology workflow using ChatGPT and artificial intelligence. Clin Imaging. 2023;103:109993.
  • Sallam M. ChatGPT utility in healthcare education, research, and practice: systematic review on the promising perspectives and valid concerns. Healthcare. 2023;11(6):887.
  • Homolak J. Opportunities and risks of ChatGPT in medicine, science, and academic publishing: a modern Promethean dilemma. Croat Med J. 2023;64(1):1-3.
  • Khan RA, Jawaid M, Khan AR, Sajjad M. ChatGPT - reshaping medical education and clinical management. Pak J Med Sci. 2023;39(2):605-607.
  • Else H. Abstracts written by ChatGPT fool scientists. Nature. 2023;613(7944):423.
  • Temsah O, Khan SA, Chaiah Y, et al. Overview of early ChatGPT’s presence in medical literature: insights from a hybrid literature review by ChatGPT and human experts. Cureus. 2023;15(4):e37281.
  • Ray PP. ChatGPT: a comprehensive review on background, applications, key challenges, bias, ethics, limitations and future scope. Internet Things Cyber-Physic Sys. 2023;3:121-154.
  • Liebrenz M, Schleifer R, Buadze A, Bhugra D, Smith A. Generating scholarly content with ChatGPT: ethical challenges for medical publishing. Lancet Digit Health. 2023;5(3):E105-E106.
  • Kallestinova ED. How to write your first research paper. Yale J Biol Med. 2011;84(3):181-190.
  • Colthorpe K, Mehari Abraha H, Zimbardi K, et al. Assessing students’ ability to critically evaluate evidence in an inquiry-based undergraduate laboratory course. Adv Physiol Educ. 2017;41(1):154-162.
  • Lerchenfeldt S, Mi M, Eng M. The utilization of peer feedback during collaborative learning in undergraduate medical education: a systematic review. BMC Med Educ. 2019;19(1):321.
  • Groves T. What makes a high quality clinical research paper? Oral Dis. 2010;16(4):313-315.
  • Lee H. The rise of ChatGPT: exploring its potential in medical education. Anat Sci Educ. 2023;00:1-6. doi: 10.1002/ase.2270.
  • Shen N, Bernier T, Sequeira L, et al. Understanding the patient privacy perspective on health information exchange: a systematic review. Int J Med Inform. 2019;125:1-12.
  • Garattini L, Padula A, Mannucci PM. Conflicts of interest in medicine: a never-ending story. Intern Emerg Med. 2020;15(3):357-359.
  • Kadam RA. Informed consent process: a step further towards making it meaningful! Perspect Clin Res. 2017;8(3):107-112.
  • Dobrow MJ, Miller FA, Frank C, Brown AD. Understanding relevance of health research: considerations in the context of research impact assessment. Health Res Policy Sys. 2017;15(1):31.
  • Sinha RK, Deb Roy A, Kumar N, Mondal H. Applicability of ChatGPT in assisting to solve higher order problems in pathology. Cureus. 2023;15(2):e35237.
  • Cherry MG, Fletcher I, O’Sullivan H, Dornan T. Emotional intelligence in medical education: a critical review. Med Educ. 2014;48(5):468-478.
  • Marsh CA, Browne J, Taylor J, Davis D. A researcher’s journey: exploring a sensitive topic with vulnerable women. Women Birth. 2017;30(1):63-69.
  • Walls P, Parahoo K, Fleming P, Mccaughan E. Issues and considerations when researching sensitive issues with men: examples from a study of men and sexual health. Nurse Res. 2010;18(1):26-34.
  • Seghier M. Using ChatGPT and other AI‐assisted tools to improve manuscripts readability and language. Int J Imaging Syst Technol. 2023;33(3):773-775.
  • Donmez I, Idil S, Gulen S. Conducting academic research with the AI interface ChatGPT: challenges and opportunities. J STEAM Educat. 2023;6(2):101-118.
  • Kim SG. Using ChatGPT for language editing in scientific articles. Maxillofac Plast Reconstr Surg. 2023;45(1):13.
  • Salvagno M, Taccone FS, Gerli AG. Can artificial intelligence help for scientific writing? Crit Care. 2023;27(1):75.
  • Smith R. Peer review: a flawed process at the heart of science and journals. J R Soc Med. 2006;99(4):178-182.
  • Chen PH. Essential elements of natural language processing: what the radiologist should know. Acad Radiol. 2020;27(1):6-12.
  • Gao CA, Howard FM, Markov NS, et al. Comparing scientific abstracts generated by ChatGPT to real abstracts with detectors and blinded human reviewers. NPJ Digit Med. 2023;6(1):75.
  • Mese I, Altıntaş Taslicay C, Kuzan BN, Kuzan T, Sivrioglu AK. Educating the next generation of radiologists: a comparative report of ChatGPT and e-learning resources. Diagn Interv Radiol. 25 December 2023 [Epub Ahead of Print]. doi: 10.4274/dir.2023.232496
There are 32 citations in total.

Details

Primary Language English
Subjects Information Systems (Other)
Journal Section Review
Authors

İsmail Meşe 0000-0002-4429-6996

Beyza Kuzan 0000-0002-5001-3649

Taha Yusuf Kuzan 0000-0002-5420-8507

Project Number n/a
Publication Date January 15, 2024
Published in Issue Year 2024 Volume: 6 Issue: 1

Cite

AMA Meşe İ, Kuzan B, Kuzan TY. ChatGPT in medical writing: enhancing healthcare communication through artificial intelligence and human expertise. Anatolian Curr Med J / ACMJ / acmj. January 2024;6(1):97-104. doi:10.38053/acmj.1367414

TR DİZİN ULAKBİM and International Indexes (1b)

Interuniversity Board (UAK) Equivalency:  Article published in Ulakbim TR Index journal [10 POINTS], and Article published in other (excuding 1a, b, c) international indexed journal (1d) [5 POINTS]

Note: Our journal is not WOS indexed and therefore is not classified as Q.

You can download Council of Higher Education (CoHG) [Yüksek Öğretim Kurumu (YÖK)] Criteria) decisions about predatory/questionable journals and the author's clarification text and journal charge policy from your browser. https://dergipark.org.tr/tr/journal/3449/file/4924/show

Journal Indexes and Platforms: 

TR Dizin ULAKBİM, Google Scholar, Crossref, Worldcat (OCLC), DRJI, EuroPub, OpenAIRE, Turkiye Citation Index, Turk Medline, ROAD, ICI World of Journal's, Index Copernicus, ASOS Index, General Impact Factor, Scilit.


The indexes of the journal's are;

18596


asos-index.png

f9ab67f.png

WorldCat_Logo_H_Color.png

      logo-large-explore.png

images?q=tbn:ANd9GcQgDnBwx0yUPRKuetgIurtELxYERFv20CPAUcPe4jYrrJiwXzac8rGXlzd57gl8iikb1Tk&usqp=CAU

index_copernicus.jpg


84039476_619085835534619_7808805634291269632_n.jpg





The platforms of the journal's are;

COPE.jpg

images?q=tbn:ANd9GcTbq2FM8NTdXECzlOUCeKQ1dvrISFL-LhxhC7zy1ZQeJk-GGKSx2XkWQvrsHxcfhtfHWxM&usqp=CAUicmje_1_orig.png

cc.logo.large.png

ncbi.png

ORCID_logo.pngimages?q=tbn:ANd9GcQlwX77nfpy3Bu9mpMBZa0miWT2sRt2zjAPJKg2V69ODTrjZM1nT1BbhWzTVPsTNKJMZzQ&usqp=CAU


images?q=tbn:ANd9GcTaWSousoprPWGwE-qxwxGH2y0ByZ_zdLMN-Oq93MsZpBVFOTfxi9uXV7tdr39qvyE-U0I&usqp=CAU






The
 
indexes/platforms of the journal are;

TR Dizin Ulakbim, Crossref (DOI), Google Scholar, EuroPub, Directory of Research Journal İndexing (DRJI), Worldcat (OCLC), OpenAIRE, ASOS Index, ROAD, Turkiye Citation Index, ICI World of Journal's, Index Copernicus, Turk Medline, General Impact Factor, Scilit 


EBSCO, DOAJ, OAJI is under evaluation.

Journal articles are evaluated as "Double-Blind Peer Review"