How much of this occupation’s work can be materially affected by current AI systems.
How likely exposure is to translate into reduced human demand.
Includes provisional estimates for AI adoption pressure and labour-market resilience. How this is measured
Confidence reflects task coverage, mapping and capability-evidence quality, and how much of the score rests on provisional inputs.
What is driving the score?
Occupation scores are built from the task mix—not a single prediction about a job title.
Where AI can do more
Routine, digitized, and highly repeatable tasks face the greatest pressure.
- Review prescription, diagnosis, patient chart, and identification.67
- Provide assistance to other healthcare personnel during dosimetry procedures and tumor localization.67
- Assist in the preparation of sealed radioactive materials, such as cobalt, radium, cesium, or isotopes, for use in radiation treatments.67
- Maintain records, reports, or files as required, including such information as radiation dosages, equipment settings, or patients' reactions.66
Where people still matter
These tasks score lowest on automation feasibility—physical presence, judgement, accountability and real-world variability all resist end-to-end automation.
- Administer prescribed doses of radiation to specific body parts, using radiation therapy equipment according to established practices and standards.01
- Enter data into computer and set controls to operate or adjust equipment or regulate dosage.02
- Check radiation therapy equipment to ensure proper operation.03
- Prepare or construct equipment, such as immobilization, treatment, or protection devices.04
- Provide assistance to other healthcare personnel during dosimetry procedures and tumor localization.05
Related occupations
Occupations O*NET links to this one. Relatedness reflects shared work, not a claim that these roles are safer.
Cardiovascular Technologists and Technicians
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Related work
Compare these careers →Adoption and labour-market outlook
Structural factors are kept separate from raw capability so you can see what actually resists automation. Adoption pressure and labour-market resilience are still provisional models—25% of this occupation’s replacement-risk weight rests on them.
O*NET 30.3 occupational data interpreted through the JobsVsAI capability, automation and structural-constraint models.
