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STRATUSWORKFORCE SCAN

Medical Dosimetrists

In short: today's best AI models could do about 80% of this job's working time (projected from METR's April 2026 measurement and Epoch's November 2026 index) if the work were set up for them, and about 81% by the end of 2028 if progress keeps its long-run pace. The people and hands-on work, about 19% of the time, stays with people.

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Generate radiation treatment plans, develop radiation dose calculations, communicate and supervise the treatment plan implementation, and consult with members of radiation oncology team.

3,410 people do this job in the US. $147,470 a year.

A typical 40-hour week

Not yet reviewed task by task
  • AI could take on32 h
  • A person checks AI's work0 h
  • Desk work AI can't do yet0 h
  • Stays with people8 h

Medical Dosimetrists, now: of a 40-hour week, AI could take on 32 hours, 0 hours become checking its work, 0 hours are desk work it can't do yet, and 8 hours stay with people.

The largest pieces: Design the arrangement of radiation fields to reduce exposure to critical patient structures, such as organs, using computers, manuals, and guides (about 6 h); Develop radiation treatment plans in consultation with members of the radiation oncology team (about 6 h); Identify and outline bodily structures, using imaging procedures, such as x-ray, magnetic resonance imaging, computed tomography, or positron emission tomography (about 5 h).

Estimates for a typical week of this job, if progress keeps its long-run pace, counting work the best models finish four times in five. Every task is below.

now
80%

of the working time. Now is projected from METR's April 2026 measurement and Epoch's November 2026 index.

Kinds of work
  • 81%
  • 6%
  • 13%
n/a

Anthropic's data does not cover this job.

Half the desk work within reach
Already

On the chosen pace and reliability. Estimate.

Share of the working time within reach, now to 2030

0%25%50%75%100%2027202820292030NowDesk work: 81% of the time
Chosen to Ceiling: the share
DateNow
NowEnd of 2030
Change assumptionsLong-run pace, four in five

What each choice means: , , , , . Every pace starts from .

At this date and pace, models finish tasks up to 2.4 work days long four times in five.

How far this has come

With GPT-4, measured in March 2023, 0% of this job's working time was within reach at . With Claude 3.7 Sonnet, measured in February 2025, 0%. With Claude Mythos Preview (early), measured in April 2026, 48%. Today's estimate: 80%.

0%25%50%75%100%2023202420252026GPT-4, March 2023: 0% within reachGPT-4 Turbo (Nov 2023), November 2023: 0% within reachGPT-4o, May 2024: 0% within reachClaude 3.5 Sonnet (June 2024), June 2024: 0% within reacho1-preview, September 2024: 0% within reachClaude 3.5 Sonnet (Oct 2024), October 2024: 0% within reacho1, December 2024: 0% within reachClaude 3.7 Sonnet, February 2025: 0% within reacho3, April 2025: 3% within reachGPT-5, August 2025: 5% within reachGemini 3 Pro, November 2025: 9% within reachClaude Opus 4.5, November 2025: 9% within reachGPT-5.2, December 2025: 13% within reachClaude Opus 4.6, February 2026: 15% within reachClaude Mythos Preview (early), April 2026: 48% within reachToday (estimate), November 2026: 80% within reach
Each step is a new best model measured by METR, four in five; the dashed end is today's estimate. Point at a dot for the model.

A backcast: today's task data with the best model METR had measured by each date. It shows how fast the models have moved, not what anyone forecast at the time.

Measured use over time

Of the Claude.ai conversations Anthropic sampled and tied to a work task, 0.17% went to this job's tasks in May 2026, the 114th largest of the 447 jobs that showed up at all; 1 of its 19 tasks showed up. Within each of Anthropic's methods, never across a change: 0.15% to 0.17% (April to May 2026).

0%0.1%0.2%20252026released February 2025: nonereleased March 2025: nonethe week of Aug 4, 2025: nonethe week of Nov 13, 2025: nonethe week of Feb 5, 2026: noneApril 2026: 0.15%May 2026: 0.17%
Each dot is one release's sample. A line joins releases made by the same method; a change of method starts a new line. Point at a dot for its window.
Each release
ConversationsShareRankTasks seen
Released February 2025nonen/a0 of 19
Released March 2025nonen/a0 of 19
The week of Aug 4, 2025nonen/a0 of 19
The week of Nov 13, 2025nonen/a0 of 19
The week of Feb 5, 2026nonen/a0 of 19
April 20260.15%127 of 4341 of 19
May 20260.17%114 of 4471 of 19

Measured, not estimated: Anthropic's samples of Claude.ai conversations, each tied by a model to an O*NET task, from the Anthropic Economic Index. It says where Claude's use goes, not how much of this job's working time it covers, so it is not on the same scale as the reach above. The releases differ in their sample, their classifier and the smallest share they report (the June 2026 file rounds each task to a hundredth of a percent, so a smaller task reads as none), which is why a change of method starts a new line. At least 96% of each older release's task-tied use matched this site's tasks, and all of the newest. Claude.ai only, so use through other tools and other companies' models is not in it. Every job ranked.

Robots and the physical work

Anthropic rates 3% of this job's working time as physical work. For 3% of the working time, a robot has been shown doing most of the task somewhere: 3% in a purpose-built cell. 0.03 of 3, the 623rd highest of the 923 jobs.

  • Not physical 97%
  • In a purpose-built cell 3%

Anthropic's rating, not this site's estimate: Claude Opus 5, searching the web, rated each physical O*NET task by the kind of setting in which a robot it could cite (deployed, sold or demonstrated) does most of the task, weighted by its own estimate of each task's share of the time (What work can robots do?, September 30, 2026, data CC BY 4.0; every job ranked). A robot shown somewhere is not a robot in your building: cost, setup and safety decide that. The share within reach on this page still counts no body work. The robot behind each rated task is under the task below.

The tasks

Sorted by . 19 tasks from .

TaskKind
Design the arrangement of radiation fields to reduce exposure to critical patient structures, such as organs, using computers, manuals, and guides.Done hourly or more by most who do it. 15%2.1 h50 min to 4.2 h100%Half by now
Develop radiation treatment plans in consultation with members of the radiation oncology team.Done hourly or more by most who do it. 15%2.5 h50 min to 5.8 h97%Half by now
Identify and outline bodily structures, using imaging procedures, such as x-ray, magnetic resonance imaging, computed tomography, or positron emission tomography.Done hourly or more by most who do it. 12%1.3 h25 min to 3.3 h99%Half by now
Plan the use of beam modifying devices, such as compensators, shields, and wedge filters, to ensure safe and effective delivery of radiation treatment.Done hourly or more by most who do it. 11%1.3 h25 min to 2.5 h100%Half by now
Calculate the delivery of radiation treatment, such as the amount or extent of radiation per session, based on the prescribed course of radiation therapy.Done hourly or more by most who do it. 9%1.1 h25 min to 2.1 h100%Half by now
Develop treatment plans, and calculate doses for brachytherapy procedures.Done more than monthly by most who do it.6%3.3 h1.3 h to 5.8 h99%Half by now
Fabricate beam modifying devices, such as compensators, shields, and wedge filters.Done more than weekly by most who do it. Robots: in a purpose-built cell, .decimal precision-milled copper electron cutouts (Virtual Moldroom service) (sold). Anthropic's rating.5%1.7 h38 min to 4.2 hStays with people
Supervise or perform simulations for tumor localizations, using imaging methods such as magnetic resonance imaging, computed tomography, or positron emission tomography scans.Done more than weekly by most who do it. 5%1.7 h38 min to 3.3 hStays with people
Calculate, or verify calculations of, prescribed radiation doses.Done hourly or more by most who do it. 5%38 min13 min to 1.7 h100%Half by now
Create and transfer reference images and localization markers for treatment delivery, using image-guided radiation therapy.Done several times a day by most who do it. 5%50 min17 min to 1.7 h100%Half by now
Teach medical dosimetry, including its application, to students, radiation therapists, or residents.Done more than monthly by most who do it. 3%2.5 h50 min to 6.7 hStays with people
Advise oncology team members on use of beam modifying or immobilization devices in radiation treatment plans.Done daily by most who do it. 3%38 min13 min to 1.3 hStays with people

Within reach, per task: the share of the task's time whose instances are short enough for a model to finish at the chosen date, pace and reliability. Half by: the date half of that time comes within reach.

Jobs that share skills with this one

From O*NET's related occupations. Within reach now and by the end of 2028, long-run pace, four in five.

Where this job works

The industry groups that employ the most of it (BLS, May 2025).

Where the most of these jobs are

The metro areas with the most people in it (BLS, May 2025).

Questions about this job

How much of the work of Medical Dosimetrists is within reach of AI now?
An estimated 80% of the working time is within reach of AI models now and 81% by the end of 2028, on METR's long-run pace at four in five. Within reach means a model could finish work that long at that reliability. It is not a forecast of jobs lost or of savings.
Which tasks of Medical Dosimetrists come within reach first?
Weighted by the time each takes, the tasks with the most within reach now (projected from METR's April 2026 measurement and Epoch's November 2026 index) are: Design the arrangement of radiation fields to reduce exposure to critical patient structures, such as organs, using computers, manuals, and guides (100% of the task's time now); Develop radiation treatment plans in consultation with members of the radiation oncology team (97% of the task's time now); and Identify and outline bodily structures, using imaging procedures, such as x-ray, magnetic resonance imaging, computed tomography, or positron emission tomography (99% of the task's time now).
Which tasks of Medical Dosimetrists stay with people?
Tasks that are people work or body work are not counted as within reach at any date. The largest: Fabricate beam modifying devices, such as compensators, shields, and wedge filters; Supervise or perform simulations for tumor localizations, using imaging methods such as magnetic resonance imaging, computed tomography, or positron emission tomography scans; and Teach medical dosimetry, including its application, to students, radiation therapists, or residents. Together such tasks are about 19% of the working time.
Do people already use AI for the work of Medical Dosimetrists?
In the Claude.ai conversations Anthropic sampled for May 2026 and tied to a work task, 0.17% went to this job's tasks, the 114th largest share of the 447 jobs that showed up; 1 of its 19 tasks appeared. These are measures of use, not of how much of the work AI could finish, and they cover Claude only.
Can robots do the physical work of Medical Dosimetrists?
Anthropic's robot exposure rating (September 2026) finds 3% of the working time is physical work, and that a robot has been shown doing most of the task, somewhere, for 3% of the working time. Its index is 0.03 of 3. One example: Nuclear Medicine Medical Isolation Ward Mobile Robot, model TMI-MD-NM-P for "measure the amount of radioactivity in patients or equipment, using radiation monitoring devices". A robot shown somewhere is not one in every workplace; this site's own estimates still count no physical work as within reach.
How is this estimated?
From the 19 tasks O*NET lists for the occupation, each with an estimated length checked against GDPval and a share of the working time, each classed as desk, people or body work, and METR's measurements of how long a task the best AI models can finish, carried forward to the date from the latest, Claude Mythos Preview (early) in April 2026. Data checked November 10, 2026.

How the estimates are made

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