Navigating pancreas transplant perceptions: assessing public sentiment and strategies using AI-driven analysis

Area of Science:

• Transplantation research
• Digital health
• Medical education

Background:

• Pancreas transplantation is underutilized due to invasiveness, strict criteria, organ scarcity, and limited centers.
• Enhanced public education and awareness are needed, particularly through digital health platforms.

Purpose of the Study:

• To analyze public perceptions of pancreas transplantation using AI.
• To develop strategies for improved public engagement and understanding via digital health technologies.

Main Methods:

• AI-driven analysis of the top 10 Google-identified websites (April-May 2024).
• Evaluation of website sentiment, consensus, readability, and complexity.
• Focus on content from US and UK sources.

Main Results:

• Websites targeted medical professionals and patients with a neutral, professional tone.
• Content was updated 2021-2024, with readability for high school to early college students.
• AI identified strategies: patient stories, simplified jargon, visual aids, quality-of-life emphasis, research updates, outreach, community engagement, influencers, and regular content updates.

Conclusions:

• Integrate real patient experiences and simplify medical content.
• Utilize visual aids and emphasize post-transplant quality-of-life improvements.
• Leverage digital health platforms for outreach, community engagement, and content updates.