Will AI replace Dermatologists?
Estimated risk score: 36 out of 100
Lower replacement risk
Estimate from published task research, not reviewed by a person · how we estimate
Within about 19 points for 4 in 5 of the jobs we checked (17 to 55).
For the occupation as a whole, from ratings of its 18 O*NET tasks published in 2023 and calibrated to our hand scores. A specialty inside it can sit higher or lower.
O*NET-SOC 29-1213.00 · Healthcare Practitioners and Technical
Tasks rated in 2023 as ones AI could do or speed up
Tasks a GPT-4-class model could do, or do in half the time or less: 1 of its 18 rated tasks. In O*NET’s words.
- Record patients' health histories.
Tasks rated in 2023 as not sped up by AI
Tasks such a model was rated as not speeding up or taking over: 4 of its 18 rated tasks. In O*NET’s words.
- Perform incisional biopsies to diagnose melanoma.
- Perform skin surgery to improve appearance, make early diagnoses, or control diseases such as skin cancer.
- Provide dermabrasion or laser abrasion to treat atrophic scars, elevated scars, or other skin conditions.
- Provide therapies such as intralesional steroids, chemical peels, or comodo removal to treat age spots, sun damage, rough skin, discolored skin, or oily skin.
What the job is
Diagnose and treat diseases relating to the skin, hair, and nails. May perform both medical and dermatological surgery functions.
Also called: Mohs Surgeon, Dermatologist Physician, Board Certified Dermatologist, Dermatologist MD, Dermatology Physician, General Dermatologist, Medical Dermatologist, Clinical Dermatologist.
Closest jobs we score by hand
In the same field (Healthcare Practitioners and Technical). Different jobs, each scored by a person.
Source. This site includes information from the O*NET 30.1 Database by the U.S. Department of Labor, Employment and Training Administration (USDOL/ETA). Used under the CC BY 4.0 license. O*NET® is a trademark of USDOL/ETA. USDOL/ETA has not approved, endorsed, or tested these modifications. (O*NET, CC BY 4.0.) Task ratings: Eloundou, Manning, Mishkin and Rock (2023), “GPTs are GPTs: An Early Look at the Labor Market Impact Potential of Large Language Models”, data used under the MIT licence (licence texts). Our change: we averaged the ratings over this occupation’s tasks and calibrated them to our 0–100 scale. It is not a prediction about any one person and not career advice. Disagree? Write to hello@yourstopwashit.com. How we estimate