Yvonne H.
Flex
★★★★★
"I enjoyed the course, it was clear and practical. Overall, the course was very informative and valuable."
AI for Radiologic Technologists Course
Walk into every unfamiliar exam already knowing the protocol, the positioning, and what to tell the patient.
- Four Units with Lifetime Access
- Online Exam · 99% Pass Rate
- 100% Money-Back Guarantee
- Self-Paced Online Learning
- Instant Access to Materials
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The scan takes twelve minutes. Everything wrapped around the scan is what makes your shift run an hour over.
The patient is already in the room and the screening form is half filled in. Nobody can find the prior imaging, the requisition says one thing and the history says another, and the protocol for this study lives in a binder somewhere behind the desk. Add the portable chest films, the two trauma cases that jumped the schedule, the contrast questions, the reject analysis nobody has written up since March, and the competency check-offs due before your review, and the twelve-minute exam turns into a day that never lets up.
AI arrived in radiology before it arrived almost anywhere else in the hospital, but nearly all of it points at the reading room. Reconstruction software shortened scan times, triage tools flag findings for the radiologist, and the result on the floor has been more exams per shift rather than fewer technologists. The paperwork wrapped around each exam did not go anywhere. Somebody still has to explain the injection to a frightened patient, write the justification for the repeat, and pull the dose numbers together before the accreditation visit.
This course teaches you to use everyday AI tools on that second half of the job. You'll build protocol quick-references you can actually check between patients, screening scripts that catch the implant nobody mentioned, patient explanations that reduce the number of exams that get abandoned halfway through, and QA write-ups that take minutes instead of an afternoon. No coding, no new department software, and nothing that asks you to type a patient identifier into a chatbot. If you can send a text message, you can do everything in this course.
20+
Ready-to-use prompts for protocols, screening, and QA
5 min
To prep an unfamiliar exam start to finish
0
Patient identifiers you ever need to type into an AI tool
What You'll Learn
Turn a 200-page protocol manual into a one-page quick reference you can check between patients
Prep an exam you run twice a year in five minutes instead of hunting down whoever did it last
Explain contrast, radiation dose, and MRI safety in words that calm a nervous patient down
Draft repeat-exam justifications and technique notes in under two minutes instead of at the end of a shift
Write reject analysis summaries and dose reports your QA lead can file without rewriting
Collect accreditation evidence through the year instead of scrambling the month before the site visit
100% Satisfaction Guarantee
If you're not happy, we're not happy, so all of our courses are covered by a rock-solid 30-day money-back guarantee.
Course Curriculum
Foundation
Getting Started with AI for Radiologic Technologists
- Understand what AI can and can't do in a modern imaging department
- Set up your first AI tool and write prompts that return usable answers
- Know what patient information must never be typed into an AI tool
- Turn one recurring department task into an AI-assisted workflow
Core Skill
AI for Protocols, Positioning, and Exam Preparation
- Turn protocol manuals into fast, searchable quick-reference guides
- Prepare for unfamiliar or complex exams before the patient arrives
- Draft technique notes and repeat-exam justifications
- Build prep instructions for contrast, fasting, and specialty studies
Productivity
AI for Patient Communication and Safety Screening
- Explain an exam and its risks in language that calms an anxious patient
- Draft screening question scripts for MRI safety and contrast history
- Handle refusals, delays, and complaints with prepared wording
- Produce patient information sheets for your department's common studies
Advanced
AI for Department Workflow, QA, and Certification
- Write QA documentation, reject analysis summaries, and dose reports
- Prepare accreditation evidence without a last-minute scramble
- Turn throughput and delay data into a case for change
- Plan continuing education and write applications for modality specialization
What you walk away with
Earn Your Certificate
The course closes with a short multiple-choice exam. Most radiologic technologists pass on the first attempt. Pass and you earn a Certificate of Completion in AI for Radiologic Technologists, ready to share with your department manager or on LinkedIn.
- Take the exam online, at your own pace
- 99% pass rate with course preparation
- Share your certificate on LinkedIn
- Retake the exam if needed, at no cost
What Students Say
Shannon B.
Fresenius Medical Care
★★★★★
"I wanted to stay up-to-date and gain AI knowledge and know-how. This class was great! It was very thorough, walked me through everything as a beginner, and progressed as I learned more in each section. It gave real-life examples of how to use AI on a daily basis."
David L.
Chubb
★★★★★
"I valued learning how to create effective prompts with clear constraints. Overall, it was an excellent course and has significantly increased my confidence in applying AI in my day‑to‑day work."
David L.
Chubb
★★★★★
"I wanted to share my appreciation for the recent AI course. I found the training extremely informative and it gave me a much deeper understanding of how AI works and how it can support our claims processes."
"Radiology is where most medical AI has landed, and almost none of it touches the part of the exam a technologist performs."
The great majority of AI-enabled medical devices authorized in the United States are radiology devices, and they reconstruct, triage, and read images rather than position a patient, screen for implants, or manage a contrast injection. Faster reconstruction has mostly meant more exams per shift, which puts more of the department's pressure on the person running the scanner.
How AI Changes a Shift in the Imaging Department
Before AI
- Flipping through a binder for a protocol you run twice a year
- Explaining contrast risks in words that leave the patient more anxious than before
- Writing repeat-exam justifications from a blank box at the end of a shift
- Summarizing reject data by hand the week the QA report is due
- Hunting for accreditation evidence the month before the site visit
After This Course
- A one-page protocol summary on screen before the patient is on the table
- A plain-language explanation ready for the three questions patients always ask
- Technique notes and repeat justifications drafted in under two minutes
- Reject trends written up as a summary your QA lead can file as-is
- Accreditation evidence collected and written up steadily through the year
Frequently Asked Questions
Is it safe to use AI when everything I touch involves patient information?
Yes, because the course teaches you to work without ever typing a patient identifier into a general AI tool. Unit 1 covers a three-category sorting rule for what you can share, what you strip first, and what never leaves your hospital systems, and every prompt in the later units is written to work from de-identified detail like the exam type, the equipment, and the clinical question. If your hospital has an approved enterprise AI tool, you'll know how to use it properly. If it doesn't, you'll still be able to do the work safely.
Will this teach me to read images or interpret findings?
No, and that's deliberate. Interpretation belongs to the radiologist and nothing in this course crosses your scope of practice. The course is about the work wrapped around the exam, including protocol preparation, patient communication, safety screening, technique documentation, QA write-ups, and accreditation evidence.
Does this work for my modality?
Yes. The examples run across general radiography, computed tomography, magnetic resonance imaging, mammography, fluoroscopy, and interventional suites, because the underlying tasks are the same in each one. You still prep an unfamiliar study, screen a patient, explain a procedure, document a repeat, and answer to accreditation. The prompts adapt by swapping the modality and the clinical detail.
Does this count toward my ARRT continuing education credit?
No. This is not an ARRT-approved continuing education activity and it does not carry Category A credit. You earn a Certificate of Completion in AI for Radiologic Technologists that you can share with your employer or on LinkedIn. Unit 4 does cover how to use AI to plan your continuing education and write a stronger application for modality specialization or a lead technologist role.
I'm not a computer person. Is this going to be over my head?
Unit 1 starts from a blank screen and walks you through opening a free AI tool and typing your first prompt. There's no software to install, no integration with your radiology information system, and no coding at any point. Every exercise is a copy-paste task you could do on your phone during a break.
How long does the course take to finish?
Two to four weeks is typical if you study a few hours a week, and technologists who already use AI casually tend to move faster. The course is self-paced and you keep lifetime access, so working through it across a run of night shifts is completely normal.
Who This Course Is For
This AI for Radiologic Technologists course is built for registered technologists working in hospital imaging departments, outpatient imaging centers, urgent care, and mobile or portable services. Whether you run general radiography, computed tomography, magnetic resonance imaging, mammography, fluoroscopy, or an interventional suite, you'll learn practical AI skills for the protocol prep, patient communication, safety screening, and QA documentation that fill the gaps between exams. No technical background is needed, and nothing in the course asks you to interpret an image or step outside your scope of practice.
How Long Does It Take?
Expect approximately 25 hours of reading in AI for Radiologic Technologists, along with interactive quizzes and practical exercises tied directly to real exams, real screening conversations, and real department paperwork. Most students finish in two to four weeks, but the course is entirely self-paced, so you can work through it around your shift roster.
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