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A Domain-Specific Next-Generation Large Language Model (LLM) or ChatGPT is Required for Biomedical Engineering and Research

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Abstract

Large language models or ChatGPT have recently gained extensive media coverage. At the same time, the use of ChatGPT has increased deistically. Biomedical researchers, engineers, and clinicians have shown significant interest and started using it due to its diverse applications, especially in the biomedical field. However, it has been found that ChatGPT sometimes provided incorrect or partly correct information. It is unable to give the most recent information. Therefore, we urgently advocate a domain-specific next-generation, ChatBot for biomedical engineering and research, providing error-free, more accurate, and updated information. The domain-specific ChatBot can perform diversified functions in biomedical engineering, such as performing innovation in biomedical engineering, designing a medical device, etc. The domain-specific artificial intelligence enabled device will revolutionize biomedical engineering and research if a biomedical domain-specific ChatBot is produced.

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Acknowledgments

All the authors acknowledge and thank their respective Institutes and Universities of affiliation.

Funding

No fund received.

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Author notes

  1. Soumen Pal and Chiranjib Chakraborty have contributed equally.

Authors and Affiliations

  1. School of Mechanical Engineering, Vellore Institute of Technology, Vellore, Tamil Nadu, 632014, India

    Soumen Pal

  2. Department of Zoology, Fakir Mohan University, Vyasa Vihar, Balasore, Odisha, 756020, India

    Manojit Bhattacharya

  3. Institute for Skeletal Aging & Orthopaedic Surgery, Hallym University-Chuncheon Sacred Heart Hospital, Chuncheon, Gangwon-Do, 24252, Republic of Korea

    Sang-Soo Lee

  4. Department of Biotechnology, School of Life Science and Biotechnology, Adamas University, Kolkata, West Bengal, 700126, India

    Chiranjib Chakraborty

Authors
  1. Soumen Pal
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  2. Manojit Bhattacharya
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  3. Sang-Soo Lee
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  4. Chiranjib Chakraborty
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Contributions

SP: original draft writing, editing, CC: conceptualization, original draft writing, review and editing. MB, and S-SL validation.

Corresponding author

Correspondence to Chiranjib Chakraborty.

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There are no conflicts of interest for the work performed.

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

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Pal, S., Bhattacharya, M., Lee, SS. et al. A Domain-Specific Next-Generation Large Language Model (LLM) or ChatGPT is Required for Biomedical Engineering and Research. Ann Biomed Eng 52, 451–454 (2024). https://doi.org/10.1007/s10439-023-03306-x

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  • DOI: https://doi.org/10.1007/s10439-023-03306-x

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