O*NET-SOC code
29-1229.03

Diagnose, treat, and help prevent benign and malignant medical and surgical disorders of the genitourinary system and the renal glands.

  • 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

    0.030

    0.000Range of values carried here0.745

    Group-level value

    Scale, basis and source

    Observed exposure index, 0–1 as published

    Mapped onto O*NET tasks

    Published per SOC 2018 occupation; every O*NET occupation with the same SOC 2018 code carries this value

    Source dataset (CSV download)

  • Data source: ILOPublished: 2025

    0.27–0.29· 2 ISCO-08 groups

    Scale, basis and source

    Generative AI exposure index, 0–1 as published

    Published per ISCO-08 unit group. Linked to this occupation, wholly or in part, by applying U.S. Bureau of Labor Statistics crosswalks (ISCO-08 to 2010 SOC, 2010 SOC to 2018 SOC) as published

    Source dataset (PDF download)

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.

ILO value for each linked ISCO-08 group
  • ISCO-08 2211Generalist Medical Practitioners0.29
  • ISCO-08 2212Specialist Medical Practitioners0.27

Task-level exposure

Exposed tasks only

14 rated tasks · 9 tasks with β ≥ 0.5 (64.3%)

β = direct exposure (E1) + 0.5 × exposure when tools are available (E2), per the source repository's definition.

  • Source unit: O*NET 27.2 tasks → O*NET 31.0 occupation code
  • All rated tasks are in the O*NET 31.0 task list.
Source
OpenAI "GPTs are GPTs" exposure rubric
Release
gh-main-0471612
License
MIT License, Copyright (c) 2024 OpenAI

Tasks of O*NET-SOC 2010 occupation 29-1069.12 Urologists, linked to this occupation by the O*NET-SOC 2010 to 2019 crosswalk

Task (O*NET 20.1)APIRaw / share %
Document or review patients' histories.

29-1069.12

0.0029100.0
Not observed on any surface — 13 task(s) — These tasks have no row in the source for this release. The 0 in the share row is a display-stage composition ratio; absence is what the — in the raw row states.
Teach or train medical and clinical staff.
—0
Provide urology consultation to physicians or other health care professionals.
—0
Refer patients to specialists when condition exceeds experience, expertise, or scope of practice.
—0
Direct the work of nurses, residents, or other staff to provide patient care.
—0
Treat urologic disorders using alternatives to traditional surgery such as extracorporeal shock wave lithotripsy, laparoscopy, and laser techniques.
—0
Treat lower urinary tract dysfunctions using equipment such as diathermy machines, catheters, cystoscopes, and radium emanation tubes.
—0
Prescribe or administer antibiotics, antiseptics, or compresses to treat infection or injury.
—0
Prescribe medications to treat patients with erectile dysfunction (ED), infertility, or ejaculation problems.
—0
Perform abdominal, pelvic, or retroperitoneal surgeries.
—0
Perform brachytherapy, cryotherapy, high intensity focused ultrasound (HIFU), or photodynamic therapy to treat prostate or other cancers.
—0
Order and interpret the results of diagnostic tests, such as prostate specific antigen (PSA) screening, to detect prostate cancer.
—0
Examine patients using equipment, such as radiograph (x-ray) machines and fluoroscopes, to determine the nature and extent of disorder or injury.
—0
Diagnose or treat diseases or disorders of genitourinary organs and tracts including erectile dysfunction (ED), infertility, incontinence, bladder cancer, prostate cancer, urethral stones, or premature ejaculation.
—0

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

All O*NET 31.0 task statements (14)

All O*NET 31.0 task statements for this occupation (English, as published; task type core or supplemental). Exposure values are not listed here; they are in the table above, next to each task statement as worded in the O*NET version each source used.

Task (O*NET 31.0)Type
Teach or train medical and clinical staff.Core
Document or review patients' histories.Core
Provide urology consultation to physicians or other health care professionals.Core
Refer patients to specialists when condition exceeds experience, expertise, or scope of practice.Core
Direct the work of nurses, residents, or other staff to provide patient care.Core
Treat urologic disorders using alternatives to traditional surgery such as extracorporeal shock wave lithotripsy, laparoscopy, or laser techniques.Core
Treat lower urinary tract dysfunctions using equipment such as diathermy machines, catheters, cystoscopes, or radium emanation tubes.Core
Prescribe or administer antibiotics, antiseptics, or compresses to treat infection or injury.Core
Prescribe medications to treat patients with erectile dysfunction (ED), infertility, or ejaculation problems.Core
Perform abdominal, pelvic, or retroperitoneal surgeries.Core
Perform brachytherapy, cryotherapy, high intensity focused ultrasound (HIFU), or photodynamic therapy to treat prostate or other cancers.Core
Order and interpret the results of diagnostic tests, such as prostate specific antigen (PSA) screening, to detect prostate cancer.Core
Examine patients using equipment, such as radiograph (x-ray) machines or fluoroscopes, to determine the nature and extent of disorder or injury.Core
Diagnose or treat diseases or disorders of genitourinary organs and tracts including erectile dysfunction (ED), infertility, incontinence, bladder cancer, prostate cancer, urethral stones, or premature ejaculation.Core

Occupation information

Employment outlook (BLS)

Values for the whole SOC 29-1229 group (Physicians, all other), not for this O*NET occupation alone.

Employment, 2025
367K
Projected employment, 2035
380K
Change (2025–35)
+3.4%
Median annual wage, 2025
$265,930
Typical education needed for entry
Doctoral or professional degree
lowest $30,890median wage across 825 detailed occupations, BLS EP 2025–35highest $559,030

Source: U.S. Bureau of Labor Statistics, Employment Projections 2025–35 — Employment by detailed occupation, 2025 and projected 2035

Korea classification links (KSCO)

Links from the current release of the Korea Occupation Direct Crosswalk v1.1, made by AI Changing Work. Relation values are read from the O*NET-SOC occupation side.

KSCO codeKSCO titleRelationStatus
24117피부과 및 비뇨의학과 전문 의사This occupation is narrowerconfirmed

Relation and status definitions(kr-direct v1.1)

ILO occupational description

AI Changing Work links the ISCO-08 unit groups below to this occupation by applying the U.S. Bureau of Labor Statistics crosswalks (2018 SOC to 2010 SOC, 2010 SOC to ISCO-08) as published, without case-by-case selection; each link may be whole or partial.

  • ISCO-08 2211Generalist Medical Practitioners
  • ISCO-08 2212Specialist Medical Practitioners

Sources: ILO ISCO-08 — details: Credits

ESCO occupational vocabulary

Each entry below is matched to this occupation in the published ESCO-O*NET Crosswalk (version 1, 2022). The match types are that crosswalk's; the wording is AI Changing Work's.

  • specialised doctorESCO 2212.1This occupation is narrower

    Specialised doctors prevent, diagnose and treat diseases depending on their medical or surgical specialty.

Source: European Commission, DG EMPL — ESCO API 2026-08-08 (bridge v1.2.1)

License: CC BY 4.0 (EU Reuse Notice)

View original

ESCO reuse terms and the modification notice are in Credits.

France classification links (ROME)

AI Changing Work's links between this occupation and ROME 4.0 job profiles, judged with AI models. Relations are read from this occupation's side. Links marked “provisional” were adopted on the judgments of two judges from the same model family (Claude) alone, or by an operator rule applied to their judgments, so they rest on weaker evidence than confirmed links.

ROME codeROME title (French)Relation
J1135UrologueSame scopeprovisional

Source: France Travail — Répertoire Opérationnel des Métiers et des Emplois (ROME 4.0), version 61, last updated 15 June 2026 (https://www.data.gouv.fr/datasets/repertoire-operationnel-des-metiers-et-des-emplois-rome). Licence Ouverte 2.0.

ROME codes and titles are reproduced unchanged; the links to O*NET-SOC occupations are AI Changing Work's own judgment and are not a France Travail correspondence.

(AI Changing Work link release: fr-direct v1)

Spain classification links (CNO-11)

AI Changing Work's links between this occupation and CNO-11 occupations, judged with AI models. Relations are read from this occupation's side.

CNO-11 codeCNO-11 title (Spanish)Relation
2112Otros médicos especialistasThis occupation is narrowerprovisional

Source: Instituto Nacional de Estadística (INE), National Classification of Occupations 2011 (CNO-11, Royal Decree 1591/2010) — www.ine.es · Licensed CC BY 4.0. CNO-11 codes and Spanish titles are reproduced unchanged; the links to O*NET occupations are AI Changing Work's own judgment and are not an INE correspondence.

(AI Changing Work link release: es-direct v1)

Germany classification links (KldB)

AI Changing Work's links between this occupation and KldB occupations, judged with AI models. Relations are read from this occupation's side.

KldB codeKldB title (German)Relation
81444Fachärzte/-ärztinnen in den Bereichen Hautkrankheiten, Sinnes- und Geschlechtsorgane - hoch komplexe TätigkeitenThis occupation is narrower

Source: © Statistik der Bundesagentur für Arbeit — Klassifikation der Berufe 2010 – überarbeitete Fassung 2020, https://statistik.arbeitsagentur.de. KldB codes and titles are reproduced unchanged; the links to O*NET occupations are AI Changing Work's own mapping (eigene Zuordnung) and are not a Bundesagentur für Arbeit correspondence.

(AI Changing Work link release: de-direct v1)

Japan classification links (JSCO)

AI Changing Work's links between this occupation and JSCO occupations, judged with AI models. Relations are read from this occupation's side.

JSCO codeJSCO title (Japanese)Relation
121医師This occupation is narrowerprovisional

Source: Ministry of Internal Affairs and Communications (MIC), Japan Standard Occupational Classification (Dec. 2009, MIC Notification No. 555). JSCO codes and Japanese titles are reproduced unchanged; the links to O*NET occupations are AI Changing Work's own judgment and are not a MIC correspondence.

(AI Changing Work link release: jp-direct v1)

Sources, licenses and AI Changing Work's modification and translation notices for this page: Credits & sources