放射線科医
ヘルスケアAI露出度
- データ出典: BLS公表時点: '26.08
高い· 相対
低い4段階の相対区分非常に高い職業群単位の値
尺度・母数・出典
4段階の相対区分(低い / 中程度 / 高い / 非常に高い)
BLS雇用見通し表の詳細職業831件が母数。値は NEM(全国雇用マトリクス)コード単位で付与されるため、同じ NEM コードの職業は同じバンドになります
- データ出典: Anthropic公表時点: '26.03
0.199
0.000ここに掲載された値の範囲0.745尺度・母数・出典
- データ出典: ILO公表時点: '25
0.27
0.09ここに掲載された値の範囲0.70職業群単位の値
尺度・母数・出典
生成AI露出度指数、公開されたまま0–1
ISCO-08の職業小分類単位 — 同じコードの職業はすべて同じ値
当サイトの算出であり、ILOが公表した数値ではありません。当サイトがILOデータセットに結び付けた職業1,012件のうち、この値以上のものは74%です。
この出典がどのような性格の値か
BLSの区分は絶対水準ではなく相対順位であり、一次測定でもありません。複数の既存研究が付けた職業別パーセンタイル順位を4段階にまとめた値です。雇用や賃金の予測でもなく、導入確率でもなく、自動化と増強を区別しません。
Task-level exposure
非表示の作業 193 件を表示| Task | Claude.aiRaw / share % |
|---|---|
Prepare comprehensive interpretive reports of findings.29-1069 | 0.065215.4 |
Educate patients about diagnoses, prognoses, or treatments.29-1069 | 0.044110.4 |
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 | 0.03879.1 |
Interpret diagnostic test results to make appropriate differential diagnoses.29-1069 | 0.03658.6 |
Educate patients about maintenance and promotion of healthy vision.29-1069 | 0.02766.5 |
Communicate examination results or diagnostic information to referring physicians, patients, or families.29-1069 | 0.02355.5 |
Examine microscopic samples to identify diseases or other abnormalities.29-1069 | 0.02054.8 |
Develop individualized treatment plans for patients, considering patient preferences, clinical data, or the risks and benefits of therapies.29-1069 | 0.01954.6 |
Interpret imaging data and confer with other medical specialists to formulate diagnoses.29-1069 | 0.01052.5 |
Document examination results, treatment plans, and patients' outcomes.29-1069 | 0.00962.2 |
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
この職業に関わる最近の変化
2026年3月: Brookings: radiology identified as theoretically well-suited for AI despite capability advances, actual adoption limited.
[出典: Brookings Institution]