Skip to main content
SpringerLink
Log in

Exploring the Potential of GPT-4 in Biomedical Engineering: The Dawn of a New Era

  • Letter to the Editor
  • Published:
Annals of Biomedical Engineering Aims and scope Submit manuscript

Abstract

Biomedical engineering is a relatively young interdisciplinary field based on engineering, biology, and medicine. Of note, the rapid progress of artificial intelligence (AI)-based technologies has made a significant impact on the biomedical engineering field, and continuously bring innovations and breakthroughs. Recently, ChatGPT, an AI chatbot developed by OpenAI company, has gained tremendous attention due to its powerful natural language generation and understanding ability. In this study, we explored potential of GPT-4 in the eight branches of biomedical engineering including medical imaging, medical devices, bioinformatics, biomaterials, biomechanics, gene and cell engineering, tissue engineering, and neural engineering. Our results show that the application of GPT-4 will bring new opportunities for the development of this field.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1

Data Availability

Not applicable.

References

  1. Biswas, S. S. Role of chat GPT in public health. Ann. Biomed. Eng. 51(5):868–869, 2023.

    Article  PubMed  Google Scholar 

  2. Cheng, K., Y. He, C. Li, et al. Talk with ChatGPT about the outbreak of Mpox in 2022: reflections and suggestions from AI dimensions. Ann. Biomed. Eng. 51(5):870–874, 2023.

    Article  PubMed  PubMed Central  Google Scholar 

  3. Hallsworth, J. E., Z. Udaondo, C. Pedrós-Alió, et al. Scientific novelty beyond the experiment. Microb. Biotechnol. 2023. https://doi.org/10.1111/1751-7915.

    Article  PubMed  PubMed Central  Google Scholar 

  4. Adams, L. C., D. Truhn, F. Busch, et al. Leveraging GPT-4 for post hoc transformation of free-text radiology reports into structured reporting: a multilingual feasibility study. Radiology. 230725, 2023.

    Article  Google Scholar 

  5. He, Y., H. Tang, D. Wang, et al. Will ChatGPT/GPT-4 be a lighthouse to guide spinal surgeons? Ann. Biomed. Eng. 2023. https://doi.org/10.1007/s10439-023-03206-0.

    Article  PubMed  PubMed Central  Google Scholar 

  6. Cheng, K., Z. Li, C. Li, et al. The potential of GPT-4 as an AI-powered virtual assistant for surgeons specialized in joint arthroplasty. Ann. Biomed. Eng. 2023. https://doi.org/10.1007/s10439-023-03207-z.

    Article  PubMed  PubMed Central  Google Scholar 

  7. Ali, H. The potential of GPT-4 as a personalized virtual assistant for bariatric surgery patients. Obes. Surg. 2023. https://doi.org/10.1007/s11695-023-06576-5.

    Article  PubMed  Google Scholar 

  8. Lee, P., S. Bubeck, and J. Petro. Benefits, limits, and risks of GPT-4 as an AI Chatbot for medicine. N. Engl. J. Med. 388(13):1233–1239, 2023.

    Article  PubMed  Google Scholar 

  9. Nakhleh, A., S. Spitzer, and N. Shehadeh. ChatGPT’s response to the diabetes knowledge questionnaire: implications for diabetes education. Diabetes Technol. Ther. 2023. https://doi.org/10.1089/dia.2023.0134.

    Article  PubMed  Google Scholar 

  10. Guo, A. A., and J. Li. Harnessing the power of ChatGPT in medical education. Med. Teach. 1, 2023.

    Google Scholar 

  11. Yang, H. How I use ChatGPT responsibly in my teaching. Nature. 2023. https://doi.org/10.1038/d41586-023-01026-9.

    Article  PubMed  PubMed Central  Google Scholar 

  12. Cheng, K., Z. Li, Q. Guo, et al. Emergency surgery in the era of artificial intelligence: ChatGPT could be the doctor’s right-hand man. Int. J. Surg. 2023. https://doi.org/10.1097/JS9.0000000000000410.

    Article  PubMed  Google Scholar 

  13. Rahimi, F., and A. T. B. A. Abadi. ChatGPT and publication ethics. Arch. Med. Res. 54(3):272–274, 2023.

    Article  PubMed  Google Scholar 

Download references

Acknowledgements

We thank Prof. Zaijie Sun from Xiangyang Central Hospital for his linguistic assistance during the preparation of this manuscript. The author acknowledges that this article was partially generated by ChatGPT (powered by OpenAI's language model, GPT-4; http://openai.com). The editing was performed by the author.

Author information

Author notes

  1. Kunming Cheng, Qiang Guo, and Yongbin He have contributed equally to this work and share the first authorship.

Authors and Affiliations

  1. Department of Intensive Care Unit, The Second Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China

    Kunming Cheng & Yanqiu Lu

  2. Department of Orthopedics, Baodi Clinical College of Tianjin Medical University, Tianjin, China

    Qiang Guo

  3. School of Sport Medicine and Rehabilitation, Beijing Sport University, Beijing, China

    Yongbin He

  4. Duke Human Vaccine Institute, Duke University Medical Center, Durham, NC, USA

    Shuqin Gu

  5. Department of Graduate School, Tianjin Medical University, Tianjin, China

    Haiyang Wu

  6. Department of Spine Surgery, Tianjin Huanhu Hospital, Tianjin Medical University, Tianjin, China

    Haiyang Wu

  7. Duke Molecular Physiology Institute, Duke University School of Medicine, Durham, NC, USA

    Haiyang Wu

Authors
  1. Kunming Cheng
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Qiang Guo
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Yongbin He
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Yanqiu Lu
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Shuqin Gu
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Haiyang Wu
    View author publications

    You can also search for this author in PubMed Google Scholar

Contributions

KC: Conceptualization, methodology, data curation, formal analysis, resources, investigation, writing—original draft, writing—review and editing; QG: Conceptualization, formal analysis, resources, investigation; YH: Conceptualization, formal analysis, resources, investigation; YL: Methodology, data curation, formal analysis, resources; SG: Conceptualization, methodology, data curation, formal analysis, resources, investigation; HW: Conceptualization, methodology, data curation, formal analysis, resources, and investigation.

Corresponding authors

Correspondence to Yanqiu Lu, Shuqin Gu or Haiyang Wu.

Ethics declarations

Conflict of interest

The authors declare no conflict of interest.

Ethical Approval

This study does not include any individual-level data and thus does not require any ethical approval.

Additional information

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

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

Cheng, K., Guo, Q., He, Y. et al. Exploring the Potential of GPT-4 in Biomedical Engineering: The Dawn of a New Era. Ann Biomed Eng 51, 1645–1653 (2023). https://doi.org/10.1007/s10439-023-03221-1

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10439-023-03221-1

Keywords

Search

Navigation