π‘ Medical Dosimetrists have a composite risk score of 38/100 (Frey-Osborne probability: 23%, GenAI exposure: 74/100). With 3,970 workers in the US, this occupation faces moderate but manageable AI pressure. Full occupation profile β
π― The Verdict
Partially. Some tasks will be automated, but the core role will likely adapt and evolve.
With 3,970 workers and a median wage of $138K,medical dosimetrists represent a significant portion of the US workforce. Their GenAI exposure index is 74%, meaning a majority of their core tasks overlap with current generative AI capabilities.
Risk Score
38/100
Employment
3,970
Median Wage
$138K
GenAI Exposure
74%
β οΈ Top Risk Factors
AI-assisted diagnostic imaging reducing radiologist workload
Automated patient monitoring and alert systems
AI-powered research and literature review tools
π‘οΈ Tasks AI Can't Easily Replace
Emergency triage requiring rapid human judgment
Ethical decision-making in end-of-life situations
Hands-on physical examination and procedures
Empathetic patient communication and bedside manner
π Career Transition Paths
Related occupations with lower AI risk and high skills overlap:
Dentists, All Other Specialists
80% skills overlap Β· $226K median wage
Dentists, General
73% skills overlap Β· $173K median wage
Podiatrists
80% skills overlap Β· $153K median wage
β Frequently Asked Questions
Will AI completely replace medical dosimetrists?
Partially. Some tasks will be automated, but the core role will likely adapt and evolve.
What is the AI risk score for medical dosimetrists?
Medical Dosimetrists have a composite AI automation risk score of 38 out of 100, classified as "Moderate".
How many medical dosimetrists are there in the US?
There are approximately 3,970 medical dosimetrists employed in the United States.
What do medical dosimetrists earn?
The median annual wage for medical dosimetrists is $138K.
What skills should medical dosimetrists develop?
Focus on tasks AI can't easily replicate: emergency triage requiring rapid human judgment, ethical decision-making in end-of-life situations, hands-on physical examination and procedures, empathetic patient communication and bedside manner. These human-centric skills will become more valuable as routine tasks are automated.