Radiologists
HealthcareAI exposure
- Data source: BLSPublished: '26.08
High· relative
LowFour relative bandsVery highGroup-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
- Data source: AnthropicPublished: '26.03
0.199
0.000Range of values carried here0.745Scale, basis and source
- Data source: ILOPublished: '25
0.27
0.09Range of values carried here0.70Group-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.
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 206 hidden tasks| Task | Claude.aiRaw / share % | APIRaw / share % |
|---|---|---|
Educate patients about diagnoses, prognoses, or treatments.29-1069 | 0.068433.1 | 0.00768.5 |
Develop individualized treatment plans for patients, considering patient preferences, clinical data, or the risks and benefits of therapies.29-1069 | 0.024912.0 | 0.00839.3 |
Prepare comprehensive interpretive reports of findings.29-1069 | 0.01356.5 | 0.00869.7 |
Educate patients about maintenance and promotion of healthy vision.29-1069 | 0.01356.5 | 0.00151.7 |
Interpret diagnostic test results to make appropriate differential diagnoses.29-1069 | 0.01035.0 | 0.00202.2 |
Interpret imaging data and confer with other medical specialists to formulate diagnoses.29-1069 | 0.00733.5 | 0.00697.7 |
Refer patients to medical specialists, social services or other professionals as appropriate.29-1069 | 0.00693.3 | —0 |
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 | 0.00673.2 | 0.009410.5 |
Conduct research and present scientific findings.29-1069 | 0.00592.9 | 0.00455.1 |
Develop and prescribe exercise programs such as off-season conditioning regimens.29-1069 | 0.00522.5 | —0 |
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.
| Task | βE1 + 0.5 × E2 |
|---|---|
Participate in quality improvement activities including discussions of areas where risk of error is high.O*NET Task ID 17231 | 0.5 |
Participate in continuing education activities to maintain and develop expertise.O*NET Task ID 17234 | 0.5 |
Develop treatment plans for radiology patients.O*NET Task ID 17235 | 0.5 |
Establish or enforce standards for protection of patients or personnel.O*NET Task ID 17236 | 0.5 |
Review or transmit images and information using picture archiving or communications systems.O*NET Task ID 17239 | 0.5 |
Recognize or treat complications during and after procedures, including blood pressure problems, pain, oversedation, or bleeding.O*NET Task ID 17241 | 0.5 |
Prepare comprehensive interpretive reports of findings.O*NET Task ID 17242 | 0.5 |
Obtain patients' histories from electronic records, patient interviews, dictated reports, or by communicating with referring clinicians.O*NET Task ID 17243 | 0.5 |
Confer with medical professionals regarding image-based diagnoses.O*NET Task ID 17245 | 0.5 |
Instruct radiologic staff in desired techniques, positions, or projections.O*NET Task ID 17246 | 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®, 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]