Artificial intelligence in diagnostic imaging: impact on the radiography profession

Area of Science:

• Medical Imaging Technology
• Radiography Practice
• Artificial Intelligence in Healthcare

Background:

• The integration of artificial intelligence (AI) into medical imaging is rapidly evolving.
• While the radiologist's role is widely discussed, the impact on radiographers remains under-examined.

Purpose of the Study:

• To analyze the potential effects of AI on the radiography profession.
• To identify areas within radiography workflows suitable for AI automation.
• To explore new opportunities for radiographers in an AI-integrated environment.

Main Methods:

• Assessment of current radiographer workflows.
• Cross-mapping of workflow stages with potential AI automation capabilities.
• Identification of emerging roles and responsibilities for radiographers.

Main Results:

• AI can automate tasks in procedure planning, image acquisition, and processing.
• Opportunities exist for radiographers to enhance patient care and interdisciplinary collaboration.
• Expansion of radiographer roles into AI-supported image reporting and auditing is feasible.

Conclusions:

• AI presents significant opportunities for the radiography profession, not just challenges.
• Radiographers can leverage AI to improve efficiency, expand their expertise, and take on advanced responsibilities.
• Proactive adaptation and training are crucial for radiographers to thrive in the AI era.