Quick answer: Not in the foreseeable future. AI is already part of medical imaging: radiology accounts for about three-quarters of the AI-enabled medical devices authorized by the FDA. But most of these tools help read or process images, not take them. A technologist’s core work, caring for patients, positioning them, making safety decisions and adapting to each person, is hard to automate. The Bureau of Labor Statistics still expects radiologic and MRI technologist jobs to grow about 5% from 2025 to 2035. What will change is how technologists work.
What AI is already doing in imaging
As of September 2026, the FDA’s list of AI-enabled medical devices included more than 1,600 devices, and about 76% were in radiology. In practice, AI helps with:
- Faster, clearer MRI: Deep learning reconstruction can shorten scan times or improve image quality.
- Lower-dose CT: AI reconstruction can produce clear images with less radiation.
- Patient positioning: Some CT scanners use 3D cameras and AI to help center the patient and set the scan range.
- Protocol and workflow help: suggesting protocols, flagging urgent findings for radiologists, and checking image quality.
- Image interpretation support: helping radiologists detect findings such as lung nodules, fractures, bleeding in the brain or breast lesions.
Most of these tools assist people. They still need a technologist and a radiologist to use them, check them and take responsibility.
What AI can’t do (and why techs are still needed)
- Care for patients: calming a frightened child, helping someone in pain onto the table, noticing that a patient looks unwell.
- Hands-on positioning: moving and supporting patients of every size, age and condition, including trauma and very sick patients.
- Safety decisions: screening for MRI implants, checking pregnancy status, managing contrast reactions and IV lines.
- Adapting in real time: when a patient can’t lie flat, moves, or the standard protocol doesn’t fit.
- Responsibility: someone has to check that the AI’s output makes sense and that the exam answers the clinical question.
A useful lesson from radiologists
In 2016, some AI experts predicted that radiologists would soon be replaced. Since then, AI has become part of radiology, yet demand for radiologists has kept growing, and many departments face shortages. Technology changed the work rather than removing the people. Technologists have seen this before too: the move from film to digital changed the job dramatically, and the profession grew.
How the technologist’s job is likely to change
- Less repetitive work on routine settings and image processing
- More focus on patient care, safety and complex cases
- New skills: understanding how AI tools work, when to trust them and when to override them
- New roles: AI and informatics specialists, PACS and applications roles, quality and safety leaders
In a large survey by the American Society of Radiologic Technologists (ASRT), most imaging professionals said they trusted AI and saw it as a positive advance, while warning about over-reliance on it.
How to future-proof your imaging career
- Add advanced modalities, such as CT, MRI or interventional, where human skills are harder to replace.
- Learn the technology: take continuing education on AI and new reconstruction methods.
- Build patient care and communication skills, which AI can’t replace.
- Consider informatics, quality or education roles later in your career.
- Stay adaptable: the techs who learn new tools early tend to become the go-to people in their departments.
From the scanner room
[TU EXPERIENCIA: qué herramientas de IA usas ya en RM o medicina nuclear (reconstrucción con aprendizaje profundo, secuencias aceleradas, posicionamiento automático, corrección de movimiento); cómo han cambiado tu trabajo; qué sigue dependiendo totalmente de ti.]
FAQ
Will AI take radiology tech jobs?
Not in the foreseeable future. AI mainly helps process and read images. Hands-on patient care, positioning and safety still need trained technologists, and job growth is still projected.
Is radiologic technology a good career with AI coming?
Yes, for most people. Expect the job to change, so plan to keep learning, especially advanced modalities and new technology.
Will AI replace MRI technologists?
Unlikely. AI is making MRI scans faster, but MRI technologists are still needed for safety screening, patient care and adapting each exam.
Which imaging jobs are most at risk from AI?
Roles focused mainly on repetitive image processing or administrative tasks may change most. Patient-facing roles are the hardest to automate.
Does AI make imaging safer?
It can, for example by lowering CT radiation doses and shortening MRI scans, but it needs careful human oversight.
This article reflects current trends and the author’s experience. Technology and job markets change; no one can predict the future with certainty.
Sources
- FDA. Artificial Intelligence-Enabled Medical Devices list (updated September 2026), as analyzed by Complizen.
- U.S. Bureau of Labor Statistics. Occupational Outlook Handbook: Radiologic and MRI Technologists (2025–35 projections).
- ASRT. The Artificial Intelligence Era: The Role of Radiologic Technologists and Radiation Therapists (white paper, 2020).
- Radiology Business. Radiology technologists «poised» to embrace, supervise upcoming AI era (2020).