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Revolutionizing Chronic Obstructive Pulmonary Disease Care with the Open AI Application: ChatGPT

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Abstract

Chronic Obstructive Pulmonary Disease (COPD) is one of the major and leading threats to human being. To cope with this health challenge, several studies have been undertaken in the literature. However, COPD is not paid close attention to eliminate it entirely. The current study aims to examine the role of ChatGPT application to bring improvement in controlling and managing COPD in patients. ChatGPT is used to give prompt answers of text-based questions in a variety of fields. It has potential role in knowing the symptoms of COPD, and letting individuals to modify their life styles. ChatGPT suggests medications for COPD individuals based on the established medical guidelines. Compared to the literature, ChatGPT provides a comprehensive list of COPD test and evaluation methods. ChatGPT has the potential to help physicians to take decisions in diagnosing, treating, and managing COPD among individuals in its upcoming versions. More researches can be conducted to identify the limits of ChatGPT application in future works.

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References

  1. Benzo, R. P., B. Abascal-Bolado, and M. M. Dulohery. Self-management and quality of life in chronic obstructive pulmonary disease (COPD): the mediating effects of positive affect. Patient Educ. Couns. 99(4):617–623, 2016.

    Article  PubMed  Google Scholar 

  2. Gott, M., et al. Barriers to advance care planning in chronic obstructive pulmonary disease. Palliat. Med. 23(7):642–648, 2009.

    Article  CAS  PubMed  Google Scholar 

  3. Prasad, B. Chronic obstructive pulmonary disease (COPD). Int. J. Pharm. Res. Technol. 10(1):67–71, 2020.

    Google Scholar 

  4. Lortet-Tieulent, J., et al. International trends in COPD mortality, 1995–2017. Eur. Respir. J. 54(6):1901791, 2019.

    Article  PubMed  Google Scholar 

  5. Halpin, D. M., et al. It is time for the world to take COPD seriously: a statement from the GOLD board of directors. Eur. Respir. Soc. 54:1900914, 2019.

    Article  Google Scholar 

  6. Cascella, M., et al. Evaluating the feasibility of ChatGPT in healthcare: an analysis of multiple clinical and research scenarios. J. Med. Syst. 47(1):1–5, 2023.

    Article  Google Scholar 

  7. Biswas, S. S. Role of chat gpt in public health. Ann. Biomed. Eng. 2023:1–2, 2023.

    Google Scholar 

  8. Hasnain, M. ChatGPT applications and challenges in controlling monkey pox in Pakistan. Ann. Biomed. Eng. 2023. https://doi.org/10.1007/s10439-023-03231-z.

    Article  PubMed  Google Scholar 

  9. Mathews, A. M., et al. Hypercapnia in advanced chronic obstructive pulmonary disease: a secondary analysis of the National Emphysema Treatment Trial. Chronic Obstr. Pulm. Dis. 7(4):336, 2020.

    PubMed  PubMed Central  Google Scholar 

  10. Ammous, O., et al. Inspiratory muscle training, with or without concomitant pulmonary rehabilitation, for chronic obstructive pulmonary disease (COPD). Cochrane Database Syst. Rev. 2023. https://doi.org/10.1002/14651858.CD013778.pub2.

    Article  PubMed  PubMed Central  Google Scholar 

  11. Cavaillès, A., et al. Comorbidities of COPD. Eur. Respir. Rev. 22(130):454–475, 2013.

    Article  PubMed  PubMed Central  Google Scholar 

  12. Bos, L. D., P. J. Sterk, and S. J. Fowler. Breathomics in the setting of asthma and chronic obstructive pulmonary disease. J. Allergy Clin. Immunol. 138(4):970–976, 2016.

    Article  PubMed  Google Scholar 

  13. Bestall, J., et al. Usefulness of the Medical Research Council (MRC) dyspnoea scale as a measure of disability in patients with chronic obstructive pulmonary disease. Thorax. 54(7):581–586, 1999.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  14. Alshamari, A. H. I., et al. Assessment of thyroid function tests in patients with chronic obstructive pulmonary disease. J. Med. Life. 15(12):1532, 2022.

    Article  PubMed  PubMed Central  Google Scholar 

  15. Moran-Mendoza, O., T. Ritchie, and S. Aldhaheri. Fine crackles on chest auscultation in the early diagnosis of idiopathic pulmonary fibrosis: a prospective cohort study. BMJ Open Respir. Res.8(1):e000815, 2021.

    Article  PubMed  PubMed Central  Google Scholar 

  16. Vogelmeier, C. F., et al. Goals of COPD treatment: focus on symptoms and exacerbations. Respir. Med.166:105938, 2020.

    Article  PubMed  Google Scholar 

Download references

Acknowledgments

We acknowledge that our manuscript has some contents from ChatGPT, which have been completely edited by authors.

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Authors and Affiliations

  1. Department of Computer Science, Lahore Leads University, Lahore, Pakistan

    Muhammad Hasnain & Asad Hayat

  2. Department of Information Technology, Lahore Leads University, Lahore, Pakistan

    Akbar Hussain

Authors
  1. Muhammad Hasnain
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  2. Asad Hayat
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  3. Akbar Hussain
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Correspondence to Muhammad Hasnain.

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No benefits in any form have been or will be received from a commercial party related directly or indirectly to the subject of this manuscript.

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Associate Editor Stefan M. Duma oversaw the review of this article.

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Hasnain, M., Hayat, A. & Hussain, A. Revolutionizing Chronic Obstructive Pulmonary Disease Care with the Open AI Application: ChatGPT. Ann Biomed Eng 51, 2100–2102 (2023). https://doi.org/10.1007/s10439-023-03238-6

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  • DOI: https://doi.org/10.1007/s10439-023-03238-6

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