Diagnostic medical sonographers

AI Overlap Index
38.3 / 100
Selectively Exposed

Physical, social, or oversight-heavy work that AI augments rather than replaces.

SOC 29-2032 · Healthcare

Bureau of Labor Statistics
Median pay
$89,340/yr
Hourly
$43/hr
Jobs 2024
90,000
Projected 2034
101,700
10-yr outlook
+13% · Much faster than average
Employment change
11,700
Entry education
Associate's degree
SOC code
29-2032

Signal composition

how the 0-100 score is assembled

Task Automation Impact weight 60%
36.8
contribution to AOI: 22.1
Automation Potential weight 10%
50.0
contribution to AOI: 5.0
Market Pressure weight 15%
30.0
contribution to AOI: 4.5
Entry Barrier Erosion weight 15%
45.0
contribution to AOI: 6.8

By seniority

multiplicative adjustment from category curve

Entry
42.1
mult 1.10x
Mid
38.3
mult 1.00x
Senior
31.4
mult 0.82x

Entry-level roles carry the brunt because they concentrate the most automatable subset of tasks. Senior work is insulated by judgment, relationships, and accountability.

Task-level analysis

scored 0-100 for current-generation AI feasibility, weighted by BLS-stated importance

8 tasks · model: claude-sonnet-4-5-20250929
Supporting t8

Record findings and maintain patient records

AI can transcribe findings from voice dictation, auto-populate structured fields in EHR systems, and organize patient records with minimal human oversight. Speech-to-text and natural language processing can handle routine documentation with high accuracy, requiring only batch review for errors.

BLS evidence: Diagnostic medical sonographers record findings and keep track of patients' records.

82
automation
Core t2

Review images to check for quality and adequate diagnostic coverage

AI vision systems can assess image quality metrics (resolution, contrast, anatomical coverage) and flag technical deficiencies. Computer vision models trained on diagnostic ultrasound can identify missing views or poor image quality with high accuracy, though human review of edge cases remains valuable.

BLS evidence: Sonographers review images to check for quality and adequate coverage of the areas needed for diagnoses.

72
automation
Core t3

Analyze ultrasound results for abnormalities and provide summary findings to physicians

AI models (similar to radiology AI) can detect common abnormalities in ultrasound images and generate preliminary findings. However, complex cases, rare pathologies, and clinical context integration still require sonographer judgment, placing this in the 'AI does most with human oversight' range.

BLS evidence: Diagnostic medical sonographers analyze results for abnormalities and other diagnostic information and provide a summary of findings to physicians.

68
automation
Important t5

Prepare patients by explaining procedures and answering questions

While AI chatbots can provide scripted procedure information, this task requires reading patient anxiety, adapting explanations to individual comprehension levels, and building trust through empathetic human interaction in a clinical setting where patients are often anxious about diagnostic results.

BLS evidence: Diagnostic medical sonographers prepare patients by explaining the procedure to them and answering their questions.

22
automation
Supporting t7

Prepare exam rooms and maintain diagnostic imaging equipment

Involves physical tasks like cleaning equipment, restocking supplies, adjusting bed height, and performing quality control checks on machinery. These require navigation of clinical spaces, manual dexterity with various objects, and physical maintenance that current robotics cannot reliably perform.

BLS evidence: Sonographers prepare exam rooms and maintain diagnostic imaging equipment as part of their regular duties.

15
automation
Core t1

Operate ultrasound equipment to obtain diagnostic images of body structures

Requires real-time physical manipulation of ultrasound transducer with precise pressure, angle, and positioning adjustments based on patient anatomy, body habitus, and live image feedback. AI cannot control the physical probe with the necessary dexterity in unpredictable human body environments.

BLS evidence: Diagnostic medical sonographers operate special equipment to create images of inside the body, using a transducer to scan parts of the patient's body being examined.

12
automation
Important t4

Properly position patients for imaging procedures

Requires physical manipulation of patients who may be in pain, have mobility limitations, or need repositioning based on real-time imaging feedback. Involves fine motor control and adaptive physical interaction that current robotics cannot safely perform in clinical settings.

BLS evidence: Sonographers properly position patients for imaging, which is essential for obtaining quality diagnostic images.

8
automation
Important t6

Assist with biopsies and procedures requiring ultrasound guidance

Requires real-time coordination between physician performing biopsy and sonographer manipulating probe for needle visualization, with immediate physical adjustments based on tissue movement and patient response. Demands physical presence, sterile technique, and split-second manual dexterity in high-stakes procedures.

BLS evidence: Abdominal sonographers may assist with biopsies or other examinations requiring ultrasound guidance, and musculoskeletal sonographers assist with ultrasound guidance for injections or surgical procedures.

6
automation

Task heatmap

automation score by task, sorted by weighted contribution

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External signals and sources

category-level priors and BLS fields that feed the four non-task signals

Automation Potential
50
karpathy 5/10
  • Karpathy/BLS Digital AI Exposure (0-10 scale rescaled to 0-100)
Market Pressure
30
outlook: Much faster than average
  • BLS projected outlook: Much faster than average (13%)
  • Indeed demand signal (monthly refresh pending)
Entry Barrier Erosion
45
ed: Associate's degree
  • BLS typical entry-level education: Associate's degree
  • Credential trend signal (annual refresh)

Related in Healthcare

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