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?
Prompt engineer
34%
#21 / 623
View rankingPrompt engineer
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 |
|---|---|---|---|
Design prompts, tools and chains.EstimateNo public source provides a precise figure. This is our estimate. | 24% | 58% | +13.9 |
Evals, datasets and regressions.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 52% | +9.4 |
Integrate with product and safety limits.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Talk to the business about a good output.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Watch hallucinations, bias and cost.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 20% | +2.8 |
Decide what the model gets, and what it does not.EstimateNo public source provides a precise figure. This is our estimate. | 12% | 16% | +1.9 |
| Total | 100% | 34% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- Design prompts, tools and chains
- Evals, datasets and regressions
- Integrate with product and safety limits
- Talk to the business about a good output
- Watch hallucinations, bias and cost
- prompt engineer
- ingeniero de prompts
- llm engineer
Sources for this job· O*NET 15-1252.00· ESCO/ISCO 2512