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.
- Transcribe, type, and distribute reports of diagnostic procedures for interpretation by physician.69
- Compare measurements of heart wall thickness and chamber sizes to standard norms to identify abnormalities.68
- Assist physicians in the diagnosis and treatment of cardiac or peripheral vascular treatments, such as implanting pacemakers or assisting with balloon angioplasties to treat blood vessel blockages.68
- Assess cardiac physiology and calculate valve areas from blood flow velocity measurements.67
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.
- Check, test, and maintain cardiology equipment, making minor repairs when necessary, to ensure proper operation.01
- Observe ultrasound display screen and listen to signals to record vascular information, such as blood pressure, limb volume changes, oxygen saturation, or cerebral circulation.02
- Compare measurements of heart wall thickness and chamber sizes to standard norms to identify abnormalities.03
- Transcribe, type, and distribute reports of diagnostic procedures for interpretation by physician.04
- Assess cardiac physiology and calculate valve areas from blood flow velocity measurements.05
Related occupations
Occupations O*NET links to this one. Relatedness reflects shared work, not a claim that these roles are safer.
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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.
