Nuclear Medicine Technologists

Healthcare

AI exposure

  • Data source: BLSPublished: 2026-08

    High· relative

    LowFour relative bandsVery high

    Group-level value

    Scale, basis and source

    Four relative bands (Low / Moderate / High / Very high)

    831 detailed occupations in the BLS Employment Projections table. Assigned per National Employment Matrix (NEM) code, so occupations sharing a NEM code carry the same band

    Source dataset (XLSX download)

  • Data source: AnthropicPublished: 2026-03

    0.051

    0.000Range of values carried here0.745
    Scale, basis and source

    Observed exposure index, 0–1 as published

    Mapped onto O*NET tasks

    Source dataset

  • Data source: ILOPublished: 2025

    0.22

    0.09Range of values carried here0.70

    Group-level value

    Scale, basis and source

    Generative AI exposure index, 0–1 as published

    ISCO-08 unit group — every occupation sharing the code gets this value

    Computed by this site, not published by the ILO: of the 1,012 occupations this site links to the ILO dataset, 81% score at or above this value.

    Source dataset

What kind of figure this source publishes

The BLS category is a relative rank, not an absolute level, and it is not a first-hand measurement: it groups an occupation's percentile ranks across several published studies into four bands. It is not an employment or wage forecast, not a probability of adoption, and it does not separate automation from augmentation.

Task-level exposure

Show 8 hidden tasks

Values in this tab are predicted labels, not observations. Eloundou et al. (2023) published two rating regimes — human raters and GPT-4 — and the β shown here is derived from the GPT-4 rater basis alone; the same task can take a different value under the other regime. The unit and the meaning differ from the observed shares (%) in the other tabs, so do not place them on the same axis.

TaskβE1 + 0.5 × E2
Calculate, measure, and record radiation dosage or radiopharmaceuticals received, used, and disposed, using computer and following physician's prescription.

O*NET Task ID 4148

1.0
Detect and map radiopharmaceuticals in patients' bodies, using a camera to produce photographic or computer images.

O*NET Task ID 4149

0.5
Explain test procedures and safety precautions to patients and provide them with assistance during test procedures.

O*NET Task ID 4150

0.5
Produce a computer-generated or film image for interpretation by a physician.

O*NET Task ID 4152

0.5
Process cardiac function studies, using computer.

O*NET Task ID 4153

0.5
Record and process results of procedures.

O*NET Task ID 4155

0.5
Gather information on patients' illnesses and medical history to guide the choice of diagnostic procedures for therapy.

O*NET Task ID 4158

0.5
Position radiation fields, radiation beams, and patient to allow for most effective treatment of patient's disease, using computer.

O*NET Task ID 4161

0.5
Develop treatment procedures for nuclear medicine treatment programs.

O*NET Task ID 4163

0.5

β = E1 + 0.5 × E2 · E1 = tasks where direct LLM access alone cuts time by at least 50%, E2 = tasks where software built on top of an LLM cuts time by at least 50%. Values take only 0 / 0.5 / 1.0.

Data sources & licenses — O*NET®, Eloundou et al. (2023): see full notices on the Credits page

Occupation information