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Protocol for a global electronic Delphi on integrating artificial intelligence into solid organ transplantation.

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Transplant professionals view artificial intelligence (AI) positively for improving organ transplantation, especially in donor matching and patient care. Their insights guide AI integration into clinical workflows.

Keywords:
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Area of Science:

  • Medical Informatics
  • Transplant Surgery
  • Artificial Intelligence

Background:

  • Artificial intelligence (AI) is emerging as a key technology in solid organ transplantation.
  • AI offers potential improvements in donor-recipient matching, risk prediction, and immunosuppressive therapy.
  • Expert perspectives on AI integration in transplantation are crucial but under-researched.

Purpose of the Study:

  • To explore the perceptions and insights of global organ transplantation professionals regarding AI.
  • To identify potential benefits and challenges of AI implementation in transplantation workflows.

Main Methods:

  • A multi-round electronic Delphi approach was employed.
  • Global transplant experts participated in structured surveys.
  • Quantitative data were analyzed using descriptive statistics, and qualitative data underwent thematic analysis.

Main Results:

  • Preliminary findings suggest a generally positive outlook on AI's role in transplantation.
  • Experts anticipate AI benefits in donor matching and post-operative care.
  • A mix of optimism and caution exists regarding AI integration into clinical practice.

Conclusions:

  • Expert opinions are vital for informing AI integration strategies in organ transplantation.
  • Findings will aid in developing policies, regulations, and readiness frameworks for AI adoption.
  • Understanding professional perspectives is key to successful AI implementation in high-stakes medical fields.