Automation index

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

Assisted contouring comes earlier. Setting the field and not burning healthy tissue do not.

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

Task comparison

IS WORK OVER?

23%

AI can already do 23% of this job.

#327 / 693

Radiation oncologist

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.

Task	Share	AI	Points
Contouring, fractions and the dose plan. Estimate No public source provides a precise figure. This is our estimate.	16%	48%	+7.7
Clinic, the tumour and what can be irradiated. Estimate No public source provides a precise figure. This is our estimate.	18%	18%	+3.2
Simulation, immobilisation and the machine day. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
Side effects, pauses and the patient who cannot take it. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
Board, the surgeon and the medical oncologist. Estimate No public source provides a precise figure. This is our estimate.	18%	14%	+2.5
Signing the plan and the dose that does not erase. Estimate No public source provides a precise figure. This is our estimate.	16%	12%	+1.9
Total	100%		23%

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

IS WORK OVER?

27%

#207 / 693

University tutor

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.

Task	Share	AI	Points
Form, the file and the one who does not come. Estimate No public source provides a precise figure. This is our estimate.	18%	48%	+8.6
Mark, the cut and the one who gives up. Estimate No public source provides a precise figure. This is our estimate.	16%	40%	+6.4
Grant, the paper and not letting it lapse. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
Health, the referral and not playing clinician. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
The dean, the dropout figure and not dressing it. Estimate No public source provides a precise figure. This is our estimate.	18%	14%	+2.5
That they ask for help, and not dropping out. Estimate No public source provides a precise figure. This is our estimate.	16%	12%	+1.9
Total	100%		27%

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