Patients' perceptions of using artificial intelligence (AI)-based technology to comprehend radiology imaging data.

Area of Science:

• Medical Imaging
• Artificial Intelligence in Healthcare
• Patient Experience

Background:

• Radiology reports are often difficult for patients to understand.
• Artificial intelligence (AI) offers potential solutions for improving patient comprehension of medical data.

Purpose of the Study:

• To investigate patient perceptions and acceptance of AI-driven tools for interpreting radiology reports.
• To identify patient attitudes towards AI in understanding their medical imaging results.

Main Methods:

• Semi-structured interviews were conducted with 13 participants.
• Thematic analysis was used to analyze qualitative data from interviews regarding AI in radiology report interpretation.

Main Results:

• Patients expressed a generally positive attitude towards using AI to understand radiology reports.
• AI was seen as beneficial for obtaining actionable information, validating physician opinions, and preparing for appointments.
• Key concerns included AI accuracy, data security, and the perceived lack of empathy in AI-generated explanations.

Conclusions:

• Patient acceptance of AI in radiology relies on addressing concerns about accuracy, security, and empathy.
• AI explanations are crucial for building trust and promoting adoption of AI tools in healthcare.
• User-centered design principles are essential for developing patient-friendly AI systems that deliver health information empathetically.