Mostly Resilient
Last Update: 6/19/2026
AI Resilience Score for Nuclear Med. Technologist:
53.5%
Median Score
Meaningful human contribution
Measures the parts of the occupation that still require a human touch. This score averages data from up to four AI exposure datasets, focusing on the role’s resilience against automation.
High
Long-term employer demand
Predicts the health of the job market for this role through 2034. Using Bureau of Labor Statistics data, it balances projected annual job openings (60%) with overall employment growth (40%).
Low
Sustained economic opportunity
Measures future earning potential and career flexibility. This score is a blend of total projected labor income (67%) and the role’s inherent ability to adapt to economic and technological shifts (33%).
Med
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.
Most data sources align, with only minor variation. This is a well-supported result.
Contributing sources
AI Resilience Report forNuclear Medicine Technologists
$97,020 median salary•900 annual openings•SOC Code: 29-2033.00
Nuclear Medicine Technologists are somewhat more resilient to AI impacts than most occupations, according to our analysis of 6 sources.
Nuclear medicine technologists are labeled "Mostly Resilient" because the most important parts of the job, like preparing radioactive materials, positioning patients, monitoring for reactions, and making real-time safety decisions, require a trained human on-site and cannot be handed off to software. AI is starting to help with tasks like cleaning up scan images and flagging urgent results, but less than 10% of FDA-approved AI tools even apply to nuclear medicine right now, so the technology is still pretty limited in this field.
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Nuclear medicine technologists are labeled "Mostly Resilient" because the most important parts of the job, like preparing radioactive materials, positioning patients, monitoring for reactions, and making real-time safety decisions, require a trained human on-site and cannot be handed off to software. AI is starting to help with tasks like cleaning up scan images and flagging urgent results, but less than 10% of FDA-approved AI tools even apply to nuclear medicine right now, so the technology is still pretty limited in this field.
Read full analysisAnalysis of Current AI Resilience
Nuclear Med. Technologist
Updated Quarterly
How is AI changing Nuclear Med. Technologist jobs?
Right now, AI is showing up in nuclear medicine as a helper, not a replacement. The Society of Nuclear Medicine & Molecular Imaging's recent Bethesda Report notes that although radiology dominates FDA-approved AI algorithms, less than 10% of these algorithms are applicable in diagnostic and therapeutic nuclear medicine, molecular imaging, and radiopharmaceutical therapy [1], meaning the AI tools you'll actually use on the job are still pretty limited. Where AI does help, it focuses on image-heavy tasks — denoising PET and SPECT scans, reconstructing images from lower radiation doses, prioritizing urgent studies, and drafting parts of reports for the physician.
A 2026 study highlighted by AuntMinnie even found that ChatGPT-5 matched expert nuclear medicine physicians on 89% of FDG-PET/CT brain scan diagnoses [2], but only when reading text — not when handling patients, injecting radiopharmaceuticals, or running the scanner. CNN reports that imaging is being treated as "a second set of eyes" that makes the job more efficient rather than replacing workers [3], which is exactly how nuclear medicine technologists are using it today.
Sources
How fast is AI adoption growing for Nuclear Med. Technologist?
Adoption is happening, but slowly and carefully. On the "speed up" side, hospitals face real staffing shortages, and researchers argue that AI can ease workforce gaps through automated scheduling, image quality checks, and assisted report generation [4]. On the "slow down" side, FDA clearance for medical AI can take years, and CNN notes that of 1,357 AI-enabled medical devices approved by the FDA, 1,041 are for radiology [3] — leaving nuclear medicine a small slice.
Patient safety, radiation rules, and the hands-on parts of the job (preparing radiopharmaceuticals, positioning patients, handling reactions) all need a trained human. The Bureau of Labor Statistics still projects employment of nuclear medicine technologists to grow 3% from 2024 to 2034, with about 900 openings per year [5]. The takeaway for you: AI will keep changing the tools you use, but skills like patient care, safety, and judgment make this career one where humans still lead.
Sources
Will AI replace Nuclear Med. Technologist?
No. We don't think AI will replace Nuclear Medicine Technologists, though we do expect the job to change.
Our 53.5% AI Resilience Score puts this career in "Mostly Resilient" territory, and the evidence backs that up. Right now, AI tools in nuclear medicine focus on image-heavy tasks like denoising PET and SPECT scans and drafting parts of reports. Even a study showing ChatGPT-5 matched expert physicians on 89% of FDG-PET/CT brain scan diagnoses only applied when reading text, not when handling patients or running equipment [2]. And fewer than 10% of FDA-approved AI algorithms apply to nuclear medicine at all [1], so the tools reshaping your day-to-day are still limited.
What stays human is significant: preparing radiopharmaceuticals, positioning patients, managing reactions, and making safety calls under radiation protocols. These aren't tasks you can hand off to software. CNN describes AI in imaging as "a second set of eyes" that boosts efficiency rather than replaces workers [3].
The job market picture is more cautious. The Bureau of Labor Statistics projects only about 900 openings per year through 2034 [5], so competition will be real. The smart move is to treat AI fluency as a skill to build, not a threat to fear.
Sources
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Latest AI news for Nuclear Med. Technologist
These articles highlight the growing role of AI in nuclear medicine, emphasizing how technologies like large language models can enhance diagnostic capabilities and streamline workflows. For example, the article on AI impacts in radiology discusses how automation can reduce routine tasks, allowing technologists to focus on complex patient care. Additionally, insights into Nvidia's advancements suggest a future where AI-driven imaging systems improve accuracy and efficiency. Embracing these developments can empower future Nuclear Medicine Technologists to enhance their skills and adaptability in a rapidly evolving field.
Nvidia sees major shift in radiology to AI agents and new autonomous imaging systems
radiologybusiness.com • 12/19/2025
Nvidia is positioning its next wave of artificial intelligence development as a foundational shift for medical imaging, moving beyond...
The impacts of artificial intelligence on the workload of diagnostic radiology services: A rapid review and stakeholder contextualisation
www.medrxiv.org • 7/24/2025
This article is a preprint and has not been peer-reviewed [what does this mean?]. It reports new medical research that has yet to be...
Effects of artificial intelligence implementation on efficiency in medical imaging—a systematic literature review and meta-analysis | npj Digital Medicine
www.nature.com • 9/30/2024
In healthcare, integration of artificial intelligence (AI) holds strong promise for facilitating clinicians' work, especially in clinical...
Large language models (LLM) and ChatGPT: what will the impact on nuclear medicine be?
link.springer.com • 3/9/2023
There has been substantial press recently regarding the impressive performance of large language models (LLM), particularly the OpenAI tool...
Is There Value for Artificial Intelligence Applications in Molecular Imaging and Nuclear Medicine?
jnm.snmjournals.org • 10/1/2019
Core competencies in molecular imaging and nuclear medicine include imaging with radioactive isotopes, pattern recognition,...
More Career Info
Career: Nuclear Medicine Technologists
They use special machines to take images of patients' bodies, helping doctors see how organs and tissues are working to diagnose illnesses.
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Employment & Wage Data
Median Wage
$97,020
Jobs (2024)
20,000
Growth (2024-34)
+3.0%
Annual Openings
900
Education
Associate's degree
Experience
None
Source: Bureau of Labor Statistics, Employment Projections 2024-2034
Task-Level AI Resilience Scores
AI-generated estimates of task resilience over the next 3 years
1
Position radiation fields, radiation beams, and patient to allow for most effective treatment of patient's disease, using computer.
2
Prepare stock radiopharmaceuticals, adhering to safety standards that minimize radiation exposure to workers and patients.
3
Administer radiopharmaceuticals or radiation intravenously to detect or treat diseases, using radioisotope equipment, under direction of a physician.
4
Dispose of radioactive materials and store radiopharmaceuticals, following radiation safety procedures.
5
Train or supervise student or subordinate nuclear medicine technologists.
6
Gather information on patients' illnesses and medical history to guide the choice of diagnostic procedures for therapy.
7
Develop treatment procedures for nuclear medicine treatment programs.
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.
