What role could artificial intelligence play in radiography practice?

• A. Assist with image analysis, automated quality checks, dose optimization, workflow support, while preserving clinician oversight.
• B. Completely replace radiologists in interpretation.
• C. Eliminate the need for safety protocols.
• D. Take over patient scheduling.

Answer: (D)

Artificial intelligence in radiography is most valuable when it augments clinicians rather than replaces them. It can assist with analyzing images to highlight potential findings, perform automated quality checks on how images are acquired to catch errors, help optimize radiation dose to achieve the needed image quality with the lowest reasonable exposure, and support workflow to reduce delays and standardize processes. All of this is done with ongoing clinician oversight to preserve professional judgment and patient safety.

Completely replacing radiologists in interpretation isn’t appropriate, safety protocols cannot be eliminated, and while AI can aid with scheduling and other administrative tasks, taking over patient scheduling is not the central or most impactful role. The strongest value comes from image analysis, quality assurance, dose optimization, and workflow support under human supervision.