Medical Imaging and Therapeutic Equipment Technicians

← The GenAI exposure gradient

On the International Labour Organization's 2025 global study, the 8 task statements that define Medical Imaging and Therapeutic Equipment Technicians (ISCO-08 3211) score an average of 0.22 on a 0–1 exposure scale — more exposed than about 39% of the 427 placed occupations. Roughly 0% of its tasks fall somewhere on the exposed part of the gradient, and the typical task lands in the Not exposed band.

Exposure is task overlap, not a verdict. A high score means a generative-AI model can do part of the content of these tasks — it says nothing about whether the work is automated, whether anyone uses AI for it today, or whether jobs are lost. The gradient is scored on the international ISCO-08 system; the rest of Singulariki is U.S. O*NET/SOC, bridged below by an approximate, many-to-many crosswalk.

How its tasks split across the gradient

Each of the 8 scored tasks for this occupation, sorted into the six exposure bands — cool (human ground) to hot (almost fully assistable).

The most-exposed task

“Operating or overseeing operation of radiologic, ultrasound and magnetic imaging equipment to produce images of the body for diagnostic purposes;”

Scores 0.27 on the 2025 scale. The task of operating or overseeing the operation of radiologic, ultrasound, and magnetic imaging equipment requires a combination of technical proficiency, physical interactions, and critical decision-making. Generative AI can assist with processing and analyzing imaging data, suggesting diagnostic assessments, and providing operational guidance. However, similar to semantically related tasks such as "Subjective and objective examination of patients" (score: 0.18) and "Ensuring proper use of assigned diagnostic tools and devices" (score: 0.275), this task involves significant human oversight to interpret complex outputs, maintain equipment safety standards, and make real-time decisions based on clinical contexts. While AI can automate aspects of image analysis, the need for human expertise in managing equipment, ensuring patient safety, and interpreting results keeps the overall automation potential moderate. Given these considerations, along with the contextual advantages of being in a high-income country like Poland with excellent technological infrastructure, the adjusted automation score of 0.28 reflects the current capabilities and limitations of AI in the context of medical imaging.

Moving fastest, 2023 → 2025

“Operating or overseeing operation of radiologic, ultrasound and magnetic imaging equipment to produce images of the body for diagnostic purposes;”

Model capability on this task changed by +0.17 in two years — the gradient is not static, it is filling in.

U.S. occupations this maps to

The American O*NET/SOC roles that crosswalk to ISCO-08 3211, biggest by employment first, via the published (approximate, many-to-many) IBS O*NET-SOC ↔ ISCO-08 correspondence. These are the closest U.S. matches — not an asserted one-to-one identity.

• Radiologic Technologists and Technicians
• Diagnostic Medical Sonographers
• Magnetic Resonance Imaging Technologists
• Radiation Therapists
• Nuclear Medicine Technologists

In context

Part of the 3 - Technicians and associate professionals major group. Return to the full gradient to see how the whole group sits.

Medical Imaging and Therapeutic Equipment Technicians sit at the 39th percentile of the global GenAI exposure gradient

• Across 427 international occupations scored by the ILO, Medical Imaging and Therapeutic Equipment Technicians rank in the 39th percentile for GenAI task exposure — overlap with what generative AI can attempt, not a projection of displacement. (ILO / Gmyrek et al. (2025) GenAI exposure gradient)
• About 0% of this occupation's tasks fall into an exposed gradient band. (ILO / Gmyrek et al. (2025))
• Mean task exposure rose by 0.02 between the 2023 and 2025 model-capability snapshots. (ILO / Gmyrek et al. (2025), 2023→2025)
• Its most-exposed task: "Operating or overseeing operation of radiologic, ultrasound and magnetic imaging equipment to produce images of the body for diagnostic purposes;". (ILO / Gmyrek et al. (2025))

Source: Singulariki — "Medical Imaging and Therapeutic Equipment Technicians". https://singulariki.com/gradient/3211-medical-imaging-and-therapeutic-equipment-technicians.html
Note: AI task overlap measures what today's AI can attempt, not automation, job loss, or a forecast.