Last Update: 3/13/2026
Your role’s AI Resilience Score is
Median Score
Changing Fast
Evolving
Stable
This reflects the reliability of your score based on the number of data sources available for this career and how closely those sources agree on the outlook. A higher confidence means more consistent evidence from labor experts and AI models.
What does this resilience result mean?
These roles are shifting as AI becomes part of everyday workflows. Expect new responsibilities and new opportunities.
AI Resilience Report for
They help diagnose medical issues by examining X-rays and scans, then work with doctors to decide on the best treatment for patients.
This role is evolving
Radiology is labeled as "Evolving" because AI is increasingly being used to assist with tasks like analyzing scans and automating simple processes. While AI tools can help make radiologists' work more efficient, they still need human oversight for tasks that require personal judgment and patient care.
Read full analysisLearn more about how you can thrive in this position
Learn more about how you can thrive in this position
This role is evolving
Radiology is labeled as "Evolving" because AI is increasingly being used to assist with tasks like analyzing scans and automating simple processes. While AI tools can help make radiologists' work more efficient, they still need human oversight for tasks that require personal judgment and patient care.
Read full analysisContributing Sources
We aggregate scores from multiple models and supplement with employment projections for a more accurate picture of this occupation’s resilience. Expand to view all sources.
AI Resilience
AI Resilience Model v1.0
AI Task Resilience
CareerVillage's proprietary model that estimates how resilient each occupation's tasks are to AI automation and augmentation
Microsoft's Working with AI
AI Applicability
Measures how applicable AI tools (like Bing Copilot) are to each occupation based on real usage patterns
Anthropic's Observed Exposure
AI Resilience
Based on observed patterns of how Claude is being used across occupational tasks in real conversations
Will Robots Take My Job
Automation Resilience
Estimates the probability of automation for each occupation based on research from Oxford University and other academic sources
Althoff & Reichardt
Economic Growth
Measured as "Wage bill" which is a long term projection for average wage × employment. It's the total labor income flowing to an occupation
Low Demand
We use BLS employment projections to complement the AI-focused assessments from other sources.
Learn about this scoreGrowth Rate (2024-34):
Growth Percentile:
Annual Openings:
Annual Openings Pct:
Analysis of Current AI Resilience
Radiologists
Updated Quarterly • Last Update: 2/17/2026

What's changing and what's not
Right now, most radiologist tasks still need human doctors, but AI tools are being built to help. For example, AI programs can analyze things like heart stress tests. One review found machine-learning models reading stress-ECG data hit over 96% accuracy [1].
This means AI can flag problems faster, but studies say these tools still need more development before they can be safely used on real patients [1]. In general, AI in imaging today augments — not replaces — radiologists. It can automate simple steps (like measuring a tumor or drafting reports) and improve safety monitoring.
For instance, AI is being studied to track radiation exposure and alert staff to hazards [1].
Other tasks show early AI use. A “digital assistant” called MIA has patients answer health questions before an exam. Patients liked its clear communication, though they noted privacy and detail still need work [2].
In nuclear medicine, a robot named Rico has even been tested to fetch radiotracer vials, reducing staff radiation risk [3]. These examples show AI and robots can take on repetitive or dangerous parts of the job. However, tasks requiring personal judgment or care – like handling a patient’s complication during a procedure or enforcing safety rules – remain firmly human responsibilities.
Current AI for those roles is mostly experimental or theoretical [1].

AI in the real world
Radiology may use AI tools faster than some fields because hospitals are busy and radiologists are in high demand. However, adoption is cautious. Experts point out that many AI tools are still prototypes needing more testing in real clinics [1].
Setting up AI (buying software, training staff, ensuring data privacy) can be expensive, and hospitals must follow strict medical rules.
People also have concerns about AI. In trials of AI assistants, participants spoke of worries about data security and a bit of fear around new tech. For example, some early tests noted patient privacy issues and an “understandable fear” of robots taking on medical tasks [3] [2].
On the other hand, radiologists generally see AI as a useful helper rather than a threat. Many in the field emphasize that doctors will oversee AI decisions. Over time, as technology proves itself and guidelines evolve, AI is expected to become a supportive tool in radiology – improving efficiency and letting humans focus on the caring, creative parts of the job [1] [3].

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Jobs (2024)
28,200
Growth (2024-34)
+2.7%
Annual Openings
800
Education
Doctoral or professional degree
Experience
None
Source: Bureau of Labor Statistics, Employment Projections 2024-2034
AI-generated estimates of task resilience over the next 3 years
Administer radioisotopes to clinical patients or research subjects.
Establish or enforce standards for protection of patients or personnel.
Prepare comprehensive interpretive reports of findings.
Schedule examinations and assign radiologic personnel.
Perform or interpret the outcomes of diagnostic imaging procedures including magnetic resonance imaging (MRI), computer tomography (CT), positron emission tomography (PET), nuclear cardiology treadmil...
Interpret images using computer-aided detection or diagnosis systems.
Teach nuclear medicine, diagnostic radiology, or other specialties at graduate educational level.
Tasks are ranked by their AI resilience, with the most resilient tasks shown first. Core tasks are essential functions of this occupation, while supplemental tasks provide additional context.

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