What question did this study set out to answer?

The aim is to establish a clear taxonomy for automation in MRI based on vehicle standards, defining autonomy levels and roles.

March 16, 2026Open Access

From Manual to Fully Autonomous MRI

Key Points

The aim is to establish a clear taxonomy for automation in MRI based on vehicle standards, defining autonomy levels and roles.
Adapted vehicle automation standards to develop a taxonomy for MRI.
Defined different levels of autonomy for MRI systems.
Examined challenges like interoperability and legal responsibilities in automation.
Established a benchmark for technology in MRI automation.
Clarified human and machine roles as automation increases.
Identified key challenges related to interoperability and legal issues.

Abstract

This work introduces a taxonomy for automation in MRI, adapted from vehicle automation standards. It defines autonomy levels, clarifying roles for humans and machines. The framework helps benchmark technology, guides clinical integration, and highlights challenges like system interoperability and legal responsibility as automation increases.

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