Automation index
How much of a Nuclear medicine physician’s job can AI already do?
A PET and a stock report come earlier. Dosing the isotope and reading the patient do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Nuclear medicine physician
27%
AI can already do 27% of this job.
#168 / 623
View rankingNuclear medicine physician
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 |
|---|---|---|---|
PET, SPECT protocols and a stock report.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 52% | +9.4 |
Order dose, timing and preparation.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Give the isotope and watch the reaction.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
Clinic, the cancer that returns and the family.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Quality, waste and radiation protection.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Signing the study and the dose you cannot repeat.EstimateNo 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
Skills and activities
- report PET
- SPECT
- dose isotopes
- nuclear medicine
- radiation protection
- PET protocols
- give radiopharmaceuticals
- nuclear oncology clinic
Sources for this job· O*NET 29-1224.00· ESCO/ISCO 2212
IS WORK OVER?
Mobile developer
28%
#92 / 623
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