Clinical Report: Evaluating Understanding and Attitudes Toward AI in SOT

Overview

This study assesses the knowledge and perceptions of artificial intelligence (AI) among solid organ transplantation (SOT) patients and healthcare professionals (HP). Findings indicate low declared knowledge of AI among both groups.

Background

The integration of AI into healthcare has the potential to enhance clinical decision-making, particularly in complex fields like solid organ transplantation. Understanding the perceptions and knowledge of AI among patients and healthcare professionals is crucial for its successful adoption. This study provides insights into the current state of awareness and attitudes toward AI in SOT.

Data Highlights

Key Findings

• Patients reported a mean AI knowledge score of 2.4/10.
• Healthcare professionals reported a mean AI knowledge score of 3.8/10.
• 140 patients had heard of AI in healthcare, but only 20 were aware of its use in SOT.
• 71 healthcare professionals were familiar with AI in healthcare, but only 39 had knowledge of its applications in SOT.
• Both groups expressed positive perceptions of AI in SOT, with concerns about dehumanization and potential errors.
• Patients viewed AI primarily as a complement to healthcare professionals.

Clinical Implications

The findings highlight gaps in knowledge regarding AI among patients and healthcare professionals in SOT.

Conclusion

This exploratory study reveals significant gaps in knowledge regarding AI among patients and healthcare professionals in SOT.

Related Resources & Content

1. Journal of Medical Internet Research (JMIR), 2026 -- Human-AI Interaction in Kidney Transplant Decision Support Systems: Qualitative Study of Patient and Support Person Expectations
2. Frontiers in Cardiovascular Medicine, 2026 -- Artificial intelligence optimizes immune rejection prediction and management in heart transplantation: a structured narrative review
3. Journal of Medical Internet Research (JMIR), 2026 -- Barriers and Facilitators to Patient Acceptance of Artificial Intelligence in Health Care: Systematic Review
4. npj Digital Medicine, 2026 -- Randomized trial of electronic health record implemented AI risk prediction in kidney transplant care
5. World Health Organization, 2025 -- Ethics and governance of artificial intelligence for health: Guidance on large multi-modal models
6. Ethics and governance of artificial intelligence for health: Guidance on large multi-modal models
7. Randomized trial of electronic health record implemented AI risk prediction in kidney transplant care | npj Digital Medicine
8. Multinational Attitudes Toward AI in Health Care and Diagnostics Among Hospital Patients | Ethics | JAMA Network Open | JAMA Network