Stakeholders' perspectives on an autonomous brain MRI: An interview study.

OBJECTIVE

This study explored how patients, care partners, and healthcare professionals perceive an autonomous Magnetic Resonance Imaging (MRI) scanning system in which individuals perform their own brain scans and images are interpreted using Artificial Intelligence (AI) for early detection and monitoring of brain-related conditions.

METHODS

Semi-structured interviews were conducted with patients (n = 11), care partners (n = 5), and healthcare professionals (n = 18). Data were coded using the Theoretical Domains Framework (TDF).

RESULTS

Twelve of fourteen TDF domains were found relevant. Knowledge and communication were key facilitators for confidence and trust. Participants emphasised the need for clear, step-by-step information before and during the scan. Concerns focused on patients' ability to manage scanning independently, the absence of on-site staff in emergencies, and the transparency and accountability of AI. Patients valued convenience, while professionals highlighted early detection and efficiency as primary benefits.

CONCLUSION

Trust in autonomous MRI depends on clear communication and education, and clarity about human oversight and responsibility.

INNOVATION: Our findings show the relevance of combining technological innovation with human-centred communication. Integrating effective communication strategies and educational materials, such as visual and interactive instructions, can empower patients and professionals and support the adoption of autonomous MRI in healthcare practice, making neuroimaging more accessible while maintaining safety and quality.