PEC innovation · 2026
Stakeholders' perspectives on an autonomous brain MRI: An interview study.
СтатьяНазвание и аннотация: Перевод в очереди
Обработка статьи · этапы, ошибки и управление
Загрузка состояния…
Ошибки и ограничения
История · было → стало
Состояние обновляется каждые 5 секунд, пока блок открыт. Процент показывается только там, где известен объём работы. Пауза останавливает продолжение этапа; текущий запрос к источнику может завершиться.
Mensinga Christien N, Visser Leonie N C, Ebbers Jonathan, Winters Sjenny A C M, Klomp Dennis W J, Emmelot-Vonk Marielle H, Koek Huiberdina L
Аннотация
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.
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.