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Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System

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Patient Perspectives on Artificial Intelligence in Medical Imaging.

Jeffry Glenning¹, Lisa Gualtieri¹

¹Cedars-Sinai Medical Center, 8700 Beverly Blvd, Los Angeles, CA, 90048, United States, 1 5625952473.

Journal of Participatory Medicine

|July 28, 2025

Summary

Patients are cautiously optimistic about artificial intelligence (AI) in medical imaging, preferring it as a supportive tool with human oversight. Prioritizing patient perspectives is key for ethical AI adoption in radiology.

Keywords:

artificial intelligence digital health health equity medical ethics medical imaging participatory medicine patient participation patient-centered care

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Area of Science:

Medical Imaging
Artificial Intelligence
Radiology

Background:

Artificial intelligence (AI) is transforming medical imaging, offering potential improvements in diagnostic accuracy and efficiency.
Effective and ethical AI implementation requires understanding patient perspectives alongside technical advancements.

Purpose of the Study:

To synthesize research on patient perceptions of AI in radiology.
To highlight the importance of patient voices in guiding AI development and adoption.

Main Methods:

Commentary synthesizing emerging research on patient views of AI in radiology.
Analysis of patient preferences regarding AI's role and oversight.

Main Results:

Patients express cautious optimism about AI in medical imaging.
Patients desire transparency and strongly prefer human oversight, viewing AI as a supportive tool, not a replacement for clinicians.

Conclusions:

Centering patient voices is crucial for maintaining trust and the human element in AI-enhanced healthcare.
Ethical AI adoption necessitates participatory approaches, robust safeguards, and clear communication to align with patient values.