Automation index
How much of a Pathologist’s job can AI already do?
A first slice and a code come earlier. Putting the diagnosis the chemo depends on do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Pathologist
30%
AI can already do 30% of this job.
#44 / 623
View rankingPathologist
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.
| Task | Share | AI | Points |
|---|---|---|---|
Grossing, embedding and the first trim.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 48% | +8.6 |
Read stains, IHC and a template report.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 52% | +8.3 |
The hard case, the second look and the frozen section.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
Board, the surgeon on the phone and the margin.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Cytology, autopsy and the specimen that arrives late.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Signing the diagnosis and what the patient is playing for.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 14% | +2.2 |
| Total | 100% | 30% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- read biopsies
- grossing
- immunohistochemistry
- frozen section
- pathology report
- cytology
- surgical margins
- autopsy
Sources for this job· O*NET 29-1222.00· ESCO/ISCO 2212
IS WORK OVER?
Tram driver
19%
#482 / 623
View rankingTram driver
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.
| Task | Share | AI | Points |
|---|---|---|---|
Checks, log and the cab.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Drive, stops and the pedestrian who steps out.EstimateNo public source provides a precise figure. This is our estimate. | 24% | 8% | +1.9 |
Badly parked car, calls and Control.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Timetable, reliefs and rush hour.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The tourist, the bike and not over-hooting.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 18% | +2.5 |
Hit nobody, and make the terminus.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 12% | +1.7 |
| Total | 100% | 19% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- drive trams
- urban stops
- pedestrians
- badly parked cars
- Control
- rush hour
- cab checks
- terminus
Sources for this job· O*NET 53-4041.00· ESCO/ISCO 8311