Automation index
How much of a Radiographer’s job can AI already do?
A exposure protocol comes earlier. Positioning the patient and not repeating the film do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Radiographer
20%
AI can already do 20% of this job.
#471 / 633
View rankingRadiographer
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 |
|---|---|---|---|
Protocols, dose and worklists.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Position, expose and watch the patient.EstimateNo public source provides a precise figure. This is our estimate. | 22% | 10% | +2.2 |
Contrast, lines and reactions.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Reconstruct, label and send to PACS.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Calm children, claustrophobia and pain.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Radiation protection, kit and not over-exposing.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 12% | +1.7 |
| Total | 100% | 20% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- Protocols, dose and worklists
- Position, expose and watch the patient
- Contrast, lines and reactions
- Reconstruct, label and send to PACS
- Calm children, claustrophobia and pain
- tecnico en radiodiagnostico
- tecnico de rayos
- radiographer
Sources for this job· O*NET 29-2034.00· ESCO/ISCO 3211
IS WORK OVER?
Mobile developer
28%
#92 / 633
View rankingMobile 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.
| Task | Share | AI | Points |
|---|---|---|---|
Screens, API and offline state.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 52% | +9.4 |
Store review, crashlytics and ANRs.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Real device, the notch and fragmented Android.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
CI, tests and the week's release.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Product, the redesign and not breaking what people use.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
That it does not crash, and not ignoring the one-star.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
| Total | 100% | 28% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- build apps
- ship to stores
- crashlytics
- offline state
- ANRs
- mobile tests
- fragmented Android
- store review
Sources for this job· O*NET 15-1252.00· ESCO/ISCO 2514