Medical Sonographers

Healthcare

AI exposure

  • Data source: BLSPublished: 2026-08

    Moderate· 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

    0.000

    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 10 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
Perform legal and ethical duties, including preparing safety or accident reports, obtaining written consent from patient to perform invasive procedures, or reporting symptoms of abuse or neglect.

O*NET Task ID 444

1.0
Perform clerical duties, such as scheduling exams or special procedures, keeping records, or archiving computerized images.

O*NET Task ID 448

1.0
Decide which images to include, looking for differences between healthy and pathological areas.

O*NET Task ID 431

0.5
Observe screen during scan to ensure that image produced is satisfactory for diagnostic purposes, making adjustments to equipment as required.

O*NET Task ID 432

0.5
Provide sonogram and oral or written summary of technical findings to physician for use in medical diagnosis.

O*NET Task ID 434

0.5
Determine whether scope of exam should be extended, based on findings.

O*NET Task ID 437

0.5
Process and code film from procedures and complete appropriate documentation.

O*NET Task ID 438

0.5
Obtain and record accurate patient history, including prior test results or information from physical examinations.

O*NET Task ID 439

0.5
Record and store suitable images, using camera unit connected to the ultrasound equipment.

O*NET Task ID 441

0.5
Maintain records that include patient information, sonographs and interpretations, files of correspondence, publications and regulations, or quality assurance records, such as pathology, biopsy, or post-operative reports.

O*NET Task ID 443

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