Check quality of diagnostic images.

Check quality of diagnostic images. is a detailed work activity in O*NET — a concrete unit of work shared across 3 occupations and seen in 4 occupation-specific tasks. It rolls up into the broader work activity Evaluate the quality or accuracy of data. in Processing Information .

Detailed work activities are the most granular shared layer in O*NET's work-activity hierarchy (Generalized → Intermediate → Detailed → occupation-specific task). The figures below describe how this activity shows up across the economy and what independent studies measure about AI and this kind of work — not a prediction that the work will be automated.

AI exposure

Of the 4 tasks under this activity that the OpenAI / Eloundou “GPTs are GPTs” study rated, 4 (100%) are flagged as directly exposed to language models (E1) or exposed via model-powered tools (E2).

Exposure estimates overlap with model capabilities — whether a model could speed the task up — not whether the work will be done by software. Observed AI use is augmentation and assistance today, not jobs replaced.

Member tasks

Occupation-specific tasks O*NET maps to this detailed work activity, most important first.

• Review and evaluate developed x-rays, video tape, or computer-generated information to determine if images are satisfactory for diagnostic purposes. · Radiologic Technologists and Technicians · importance 4.9 · exposure with tools
• Make exposures necessary for the requested procedures, rejecting and repeating work that does not meet established standards. · Radiologic Technologists and Technicians · importance 4.7 · exposure with tools
• Inspect images for quality, using magnetic resonance scanner equipment and laser camera. · Magnetic Resonance Imaging Technologists · importance 4.6 · exposure with tools
• Check and approve the quality of diagnostic images before patients are discharged. · Radiologists · exposure with tools

Occupations that perform this

• Radiologic Technologists and Technicians
• Magnetic Resonance Imaging Technologists
• Radiologists

Sources for this page

Every figure above traces to a named public dataset and the exact release below — not hand-written opinion. See the full methodology for what each measure does and does not mean.

• O*NET 30.3 U.S. Department of Labor / National Center for O*NET Development
• “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130 OpenAI / academic

Data compiled June 2, 2026. Figures are estimates, not advice.

@misc{singulariki-check-quality-of-diagnostic-images,
  title  = {Check quality of diagnostic images.},
  author = {{Singulariki}},
  year   = {2026},
  note   = {O*NET 30.3; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130. Accessed June 7, 2026},
  url    = {https://singulariki.com/detailed-activities/check-quality-of-diagnostic-images}
}