IS WORK OVER?

Automation index

How much of a Dermatologist’s job can AI already do?

A photo of a lesion and a first differential come earlier. Biopsy, looking and saying it to the face do not.

This percentage does not predict how many people will lose their jobs.

Task comparison

Dermatologist

Where the time goes

Task weights are our estimates based on O*NET frequency data, not time shares published by O*NET.

The time saving for each task is estimated separately.

TaskShareAIPoints
Review photos, history and a first differential.
Estimate

No public source provides a precise figure. This is our estimate.

16%40%+6.4
Clinic, dermoscopy and biopsy.
Estimate

No public source provides a precise figure. This is our estimate.

20%12%+2.4
Explain, treat and follow doubtful lesions.
Estimate

No public source provides a precise figure. This is our estimate.

16%22%+3.5
Reports, prescriptions and pathology notes.
Estimate

No public source provides a precise figure. This is our estimate.

16%32%+5.1
Minor surgery, cryotherapy and dressings.
Estimate

No public source provides a precise figure. This is our estimate.

16%18%+2.9
Diary, team and not missing a melanoma.
Estimate

No public source provides a precise figure. This is our estimate.

16%14%+2.2
Total100%22%

Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low

Skills and activities

  • Clinic, dermoscopy and biopsy
  • Explain, treat and follow doubtful lesions
  • Reports, prescriptions and pathology notes
  • Minor surgery, cryotherapy and dressings
  • Diary, team and not missing a melanoma
  • dermatologo

Sources for this job· O*NET 29-1213.00· ESCO/ISCO 2212

Front-end developer

Where the time goes

Task weights are our estimates based on O*NET frequency data, not time shares published by O*NET.

The time saving for each task is estimated separately.

TaskShareAIPoints
Component, states and the design.
Estimate

No public source provides a precise figure. This is our estimate.

18%48%+8.6
Accessible, the keyboard and the reader.
Estimate

No public source provides a precise figure. This is our estimate.

16%40%+6.4
Contrast, the token and not leaving it dead.
Estimate

No public source provides a precise figure. This is our estimate.

16%22%+3.5
Performance, the weight and not adding the extra library.
Estimate

No public source provides a precise figure. This is our estimate.

16%28%+4.5
The designer, the pixel and not fighting for sport.
Estimate

No public source provides a precise figure. This is our estimate.

18%14%+2.5
That it works from the keyboard, and not leaving the contrast.
Estimate

No public source provides a precise figure. This is our estimate.

16%12%+1.9
Total100%27%

Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low

Skills and activities

  • components
  • accessibility
  • keyboard
  • contrast
  • tokens
  • front-end performance
  • libraries
  • write interface

Sources for this job· O*NET 15-1254.00· ESCO/ISCO 2513

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