Evolving

Last Update: 3/13/2026

Your role’s AI Resilience Score is

59.8%

Median Score

Changing Fast

Evolving

Stable

Our confidence in this score:
Medium-high

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

Radiologists

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.

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Learn more about how you can thrive in this position

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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 analysis

Contributing 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

Learn about this score
Evolving iconEvolving

68.8%

68.8%

Microsoft's Working with AI

AI Applicability

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Evolving iconEvolving

54.7%

54.7%

Anthropic's Observed Exposure

AI Resilience

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Evolving iconEvolving

31.9%

31.9%

Will Robots Take My Job

Automation Resilience

Learn about this score
Evolving iconEvolving

54.9%

54.9%

Althoff & Reichardt

Economic Growth

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Stable iconStable

88.1%

88.1%

Low Demand

Labor Market Outlook

We use BLS employment projections to complement the AI-focused assessments from other sources.

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Growth Rate (2024-34):

2.7%

Growth Percentile:

48.6%

Annual Openings:

800

Annual Openings Pct:

8.9%

Analysis of Current AI Resilience

Radiologists

Updated Quarterly • Last Update: 2/17/2026

Analysis
Suggested Actions
State of Automation

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].

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AI Adoption

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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Task-Level AI Resilience Scores

AI-generated estimates of task resilience over the next 3 years

1

80% ResilienceCore Task

Administer radioisotopes to clinical patients or research subjects.

2

80% ResilienceCore Task

Establish or enforce standards for protection of patients or personnel.

3

75% ResilienceCore Task

Prepare comprehensive interpretive reports of findings.

4

75% ResilienceCore Task

Schedule examinations and assign radiologic personnel.

5

75% ResilienceCore Task

Perform or interpret the outcomes of diagnostic imaging procedures including magnetic resonance imaging (MRI), computer tomography (CT), positron emission tomography (PET), nuclear cardiology treadmil...

6

75% ResilienceSupplemental

Interpret images using computer-aided detection or diagnosis systems.

7

70% ResilienceCore Task

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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