Automation index

How much of a Nuclear medicine technologist’s job can AI already do?

A dose comes earlier. Injecting the isotope without contaminating the rest do not.

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

Task comparison

IS WORK OVER?

19%

AI can already do 19% of this job.

#598 / 693

Nuclear medicine technologist

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
Dose, calibrate and the patient. Estimate No public source provides a precise figure. This is our estimate.	16%	32%	+5.1
Inject, the vein and the one who moves. Estimate No public source provides a precise figure. This is our estimate.	22%	8%	+1.8
Acquisition, the SPECT and the artefact. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
Protection, the area and not contaminating. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
The nuclear physician, the image and not repeating extra. Estimate No public source provides a precise figure. This is our estimate.	16%	18%	+2.9
Inject, and not contaminating the rest. Estimate No 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

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