Dermatologists
Healthcare Practitioners and Technical Occupations- O*NET-SOC code
- 29-1213.00
Diagnose and treat diseases relating to the skin, hair, and nails. May perform both medical and dermatological surgery functions.
- Data source: BLSPublished: 2026-08
Moderate· 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: 2026-03
0.000
0.000Range of values carried here0.745Scale, 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
- 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
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 only18 rated tasks · 14 tasks with β ≥ 0.5 (77.8%)
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 29-1069.02 Dermatologists, linked to this occupation by the O*NET-SOC 2010 to 2019 crosswalk
| Task (O*NET 20.1) | Claude.aiRaw / share % |
|---|---|
Recommend diagnostic tests based on patients' histories and physical examination findings.29-1069.02 | 0.0025100.0 |
| Not observed on any surface — 18 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. | |
Refer patients to other specialists, as needed. | —0 |
Record patients' health histories. | —0 |
Provide dermatologic consultation to other health professionals. | —0 |
Read current literature, talk with colleagues, and participate in professional organizations or conferences to keep abreast of developments in dermatology. | —0 |
Evaluate patients to determine eligibility for cosmetic procedures such as liposuction, laser resurfacing, and microdermabrasion. | —0 |
Conduct or order diagnostic tests such as chest radiographs (x-rays), microbiologic tests, and endocrinologic tests. | —0 |
Provide therapies such as intralesional steroids, chemical peels, and comodo removal to treat age spots, sun damage, rough skin, discolored skin, or oily skin. | —0 |
Prescribe hormonal agents or topical treatments such as contraceptives, spironolactone, antiandrogens, oral corticosteroids, retinoids, benzoyl peroxide, and antibiotics. | —0 |
Perform skin surgery to improve appearance, make early diagnoses, or control diseases such as skin cancer. | —0 |
Perform incisional biopsies to diagnose melanoma. | —0 |
Diagnose and treat pigmented lesions such as common acquired nevi, congenital nevi, dysplastic nevi, Spitz nevi, blue nevi, and melanoma. | —0 |
Counsel patients on topics such as the need for annual dermatologic screenings, sun protection, skin cancer awareness, or skin and lymph node self-examinations. | —0 |
Conduct complete skin examinations. | —0 |
Diagnose and treat skin conditions such as acne, dandruff, athlete's foot, moles, psoriasis, and skin cancer. | —0 |
Provide liposuction treatment to patients. | —0 |
Instruct interns or residents in diagnosis and treatment of dermatological diseases. | —0 |
Conduct clinical or basic research. | —0 |
Provide dermabrasion or laser abrasion to treat atrophic scars, elevated scars, or other skin conditions. | —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 (O*NET 27.2) | βE1 + 0.5 × E2 |
|---|---|
Refer patients to other specialists, as needed.O*NET Task ID 17077 | 0.5 |
Record patients' health histories.O*NET Task ID 17078 | 0.5 |
Provide dermatologic consultation to other health professionals.O*NET Task ID 17079 | 0.5 |
Read current literature, talk with colleagues, and participate in professional organizations or conferences to keep abreast of developments in dermatology.O*NET Task ID 17081 | 0.5 |
Instruct interns or residents in diagnosis and treatment of dermatological diseases.O*NET Task ID 17082 | 0.5 |
Evaluate patients to determine eligibility for cosmetic procedures such as liposuction, laser resurfacing, or microdermabrasion.O*NET Task ID 17083 | 0.5 |
Conduct or order diagnostic tests such as chest radiographs (x-rays), microbiologic tests, or endocrinologic tests.O*NET Task ID 17084 | 0.5 |
Recommend diagnostic tests based on patients' histories and physical examination findings.O*NET Task ID 17085 | 0.5 |
Conduct clinical or basic research.O*NET Task ID 17086 | 0.5 |
Prescribe hormonal agents or topical treatments such as contraceptives, spironolactone, antiandrogens, oral corticosteroids, retinoids, benzoyl peroxide, or antibiotics.O*NET Task ID 17089 | 0.5 |
Diagnose and treat pigmented lesions such as common acquired nevi, congenital nevi, dysplastic nevi, Spitz nevi, blue nevi, or melanoma.O*NET Task ID 17092 | 0.5 |
Counsel patients on topics such as the need for annual dermatologic screenings, sun protection, skin cancer awareness, or skin and lymph node self-examinations.O*NET Task ID 17093 | 0.5 |
Conduct complete skin examinations.O*NET Task ID 17094 | 0.5 |
Diagnose and treat skin conditions such as acne, dandruff, athlete's foot, moles, psoriasis, or skin cancer.O*NET Task ID 17095 | 0.5 |
Provide therapies such as intralesional steroids, chemical peels, or comodo removal to treat age spots, sun damage, rough skin, discolored skin, or oily skin.O*NET Task ID 17087 | 0.0 |
Provide dermabrasion or laser abrasion to treat atrophic scars, elevated scars, or other skin conditions.O*NET Task ID 17088 | 0.0 |
Perform skin surgery to improve appearance, make early diagnoses, or control diseases such as skin cancer.O*NET Task ID 17090 | 0.0 |
Perform incisional biopsies to diagnose melanoma.O*NET Task ID 17091 | 0.0 |
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
All O*NET 31.0 task statements (18)
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 |
|---|---|
| Refer patients to other specialists, as needed. | Core |
| Record patients' health histories. | Core |
| Provide dermatologic consultation to other health professionals. | Core |
| Read current literature, talk with colleagues, and participate in professional organizations or conferences to keep abreast of developments in dermatology. | Core |
| Instruct interns or residents in diagnosis and treatment of dermatological diseases. | Core |
| Conduct or order diagnostic tests such as chest radiographs (x-rays), microbiologic tests, or endocrinologic tests. | Core |
| Recommend diagnostic tests based on patients' histories and physical examination findings. | Core |
| Provide therapies such as intralesional steroids, chemical peels, or comodo removal to treat age spots, sun damage, rough skin, discolored skin, or oily skin. | Core |
| Provide dermabrasion or laser abrasion to treat atrophic scars, elevated scars, or other skin conditions. | Core |
| Prescribe hormonal agents or topical treatments such as contraceptives, spironolactone, antiandrogens, oral corticosteroids, retinoids, benzoyl peroxide, or antibiotics. | Core |
| Perform skin surgery to improve appearance, make early diagnoses, or control diseases such as skin cancer. | Core |
| Perform incisional biopsies to diagnose melanoma. | Core |
| Diagnose and treat pigmented lesions such as common acquired nevi, congenital nevi, dysplastic nevi, Spitz nevi, blue nevi, or melanoma. | Core |
| Counsel patients on topics such as the need for annual dermatologic screenings, sun protection, skin cancer awareness, or skin and lymph node self-examinations. | Core |
| Conduct complete skin examinations. | Core |
| Diagnose and treat skin conditions such as acne, dandruff, athlete's foot, moles, psoriasis, or skin cancer. | Core |
| Evaluate patients to determine eligibility for cosmetic procedures such as liposuction, laser resurfacing, or microdermabrasion. | Supplemental |
| Conduct clinical or basic research. | Supplemental |
0.00/ 3· Robot exposure index
Scale, basis and source
Each physical task is graded 0–3 by the setting in which robots that have been deployed, sold or demonstrated could do it (0 none · 1 purpose-built robot settings such as a fenced machine cell or a bottling line · 2 structured facilities such as a hospital pharmacy or a container port · 3 unstructured settings such as a private home or a construction site), and the grades are averaged by share of working time
Physical tasks among this occupation's O*NET 29.3 tasks
Anthropic estimated the grades and time shares with Claude Opus 5 using web search, as of 2026.
The robot exposure index is a different measure from the AI exposure figures on this site and cannot be added to or compared with them. It does not measure actual adoption or cost, and 0 also covers occupations with no physical tasks.
Tier of each physical task
Robot environment tiers (E0–E3)
E0 noneDetails
Rated not doable by robots that have been deployed, sold or demonstrated, even in a purpose-built setting
E1 purpose-built robot settingsDetails
Rated doable in a setting built around the machine, such as a fenced machine cell or a bottling line
E2 structured facilitiesDetails
Rated doable in a human work facility that an institution keeps to a working standard, such as a hospital pharmacy or a container port
E3 unstructured settingsDetails
Rated doable in a setting that no institution keeps to a working standard, such as a private home or a construction site
Only tasks classified as physical are listed; other tasks have no tier in the source.
| Task (O*NET 29.3) | Robot environment tier |
|---|---|
| Provide therapies such as intralesional steroids, chemical peels, or comodo removal to treat age spots, sun damage, rough skin, discolored skin, or oily skin. | E0 none |
| Provide dermabrasion or laser abrasion to treat atrophic scars, elevated scars, or other skin conditions. | E0 none |
| Perform skin surgery to improve appearance, make early diagnoses, or control diseases such as skin cancer. | E0 none |
| Perform incisional biopsies to diagnose melanoma. | E0 none |
| Diagnose and treat pigmented lesions such as common acquired nevi, congenital nevi, dysplastic nevi, Spitz nevi, blue nevi, or melanoma. | E0 none |
| Conduct complete skin examinations. | E0 none |
| Diagnose and treat skin conditions such as acne, dandruff, athlete's foot, moles, psoriasis, or skin cancer. | E0 none |
| Evaluate patients to determine eligibility for cosmetic procedures such as liposuction, laser resurfacing, or microdermabrasion. | E0 none |
Occupation information
Employment outlook (BLS)
- Employment, 2025
- 12K
- Projected employment, 2035
- 13K
- Change (2025–35)
- +6.8%
- Median annual wage, 2025
- $328,730
- Typical education needed for entry
- Doctoral or professional degree
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 code | KSCO title | Relation | Status |
|---|---|---|---|
| 24117 | 피부과 및 비뇨의학과 전문 의사 | This occupation is narrower | confirmed |
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)
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 code | ROME title (French) | Relation |
|---|---|---|
| J1113 | Dermatologue | Same scope |
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 code | CNO-11 title (Spanish) | Relation |
|---|---|---|
| 2112 | Otros médicos especialistas | This 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 code | KldB title (German) | Relation |
|---|---|---|
| 81444 | Fachärzte/-ärztinnen in den Bereichen Hautkrankheiten, Sinnes- und Geschlechtsorgane - hoch komplexe Tätigkeiten | This occupation is narrowerprovisional |
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 code | JSCO 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