Radiologists

Healthcare

AI exposure

  • Data source: BLSPublished: '26.08

    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: '26.03

    0.199

    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: '25

    0.27

    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, 74% 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 205 hidden tasks
TaskClaude.aiRaw / share %APIRaw / share %
Prepare comprehensive interpretive reports of findings.

29-1069

0.027711.90.01516.3
Educate patients about diagnoses, prognoses, or treatments.

29-1069

0.027411.70.00341.4
Diagnose diseases or study medical conditions using techniques such as gross pathology, histology, cytology, cytopathology, clinical chemistry, immunology, flow cytometry, and molecular biology.

29-1069

0.02189.30.026110.8
Develop individualized treatment plans for patients, considering patient preferences, clinical data, or the risks and benefits of therapies.

29-1069

0.02109.00.025710.6
Educate patients about maintenance and promotion of healthy vision.

29-1069

0.02099.00
Interpret diagnostic test results to make appropriate differential diagnoses.

29-1069

0.02038.70
Analyze and interpret results from tests such as microbial or parasite tests, urine analyses, hormonal assays, fine needle aspirations (FNAs), and polymerase chain reactions (PCRs).

29-1069

0.01606.80.110645.8
Conduct research and present scientific findings.

29-1069

0.01516.50.00552.3
Examine microscopic samples to identify diseases or other abnormalities.

29-1069

0.01074.60.00763.2
Interpret imaging data and confer with other medical specialists to formulate diagnoses.

29-1069

0.00522.20.00582.4

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

Occupation information

Recent Changes Affecting This Occupation

Mar 2026: Brookings: radiology identified as theoretically well-suited for AI despite capability advances, actual adoption limited.

[Source: Brookings Institution]