Automated Imaging Protocol Selector
Workflow Diagram
Task
The AI system automatically selects radiology exposure parameters based on patient information to support the radiographer.
Intent
The AI system selects parameters that enable diagnostic reading while limiting exposure to ionizing radiation. This parameter selection is crucial because if too-low of a dose is given that could result in retakes and false negatives; on the other hand if too-high of a dose is given that would likely result in harm.
AI Workflow
Input
The AI system is given patient data and the doctor's intake information.
Process
The rule-based AI system uses radiographer input and connected systems (e.g. electronic patient record and radiology information system) with manufacturer thresholds possibly adjusted by installers medical physicists or quality control staff per guidance/law.
Output
A radiographer reviews the AI system output and may modify suggested settings before acquiring the image.
Human Oversight Level
Human-Led with AI-Assistance
Institutional Oversight Examples
- •Standard operating procedures on equipment settings and staff competency (organization best practice)
- •Automatic exposure control and acceptable dose levels (industry best practice)
- •Patient communication and documentation (industry standard)
- •Radiation protection standards (regulation)
- •Personnel qualification (regulation)
- •Equipment testing/quality control/monitoring (regulation)
- •Informed consent (regulation)
Risk
In extreme cases the AI system could lead to excessive ionizing radiation which can cause cell damage and potentially cancer or at extreme levels death.