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Diagnostic Medical Sonographers

US evidence · AI already used for 0 of 10 main tasks · Check another job

Produce ultrasonic recordings of internal organs for use by physicians. Includes vascular technologists.

10 main tasks · most important first

Your main tasks and AI

Importance
  1. 01Observe screen during scan to ensure that image produced is satisfactory for diagnostic purposes, making adjustments to equipment as required.AI could speed this up, with extra tools
  2. 02Decide which images to include, looking for differences between healthy and pathological areas.AI could speed this up, with extra tools
  3. 03Operate ultrasound equipment to produce and record images of the motion, shape, and composition of blood, organs, tissues, or bodily masses, such as fluid accumulations.Mostly human for now
  4. 04Observe and care for patients throughout examinations to ensure their safety and comfort.Mostly human for now
  5. 05Provide sonogram and oral or written summary of technical findings to physician for use in medical diagnosis.AI could speed this up, with extra tools
  6. 06Select appropriate equipment settings and adjust patient positions to obtain the best sites and angles.Mostly human for now
  7. 07Determine whether scope of exam should be extended, based on findings.AI could speed this up, with extra tools
  8. 08Obtain and record accurate patient history, including prior test results or information from physical examinations.AI could speed this up, with extra tools
  9. 09Coordinate work with physicians or other healthcare team members, including providing assistance during invasive procedures.Mostly human for now
  10. 10Prepare patient for exam by explaining procedure, transferring patient to ultrasound table, scrubbing skin and applying gel, and positioning patient properly.Mostly human for now

Tasks from O*NET® 31.0 (US Department of Labor, CC BY 4.0, changed by us), most important first. “Already use” comes from Anthropic’s data on real work chats with Claude; “could speed up” from task ratings made with GPT-4 in 2023.

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Checked O*NET 31.0, August 2026Corrections