24 category A credits with every course to satisfy an imaging technologist's regular CE biennium

Acceptance

ARRT / State / Org Credits / Category
ARRT 24 category A credits for ARRT® certification and registration
MQSA Meets ongoing 15 CE credits/36 months requirement
All states 4 hours of digital radiography for CA (and all states)
California CRTs / XTs / supervisors / operators accepted
Texas Directly related
Florida Technical category
NMTCB Accepted
ARMRIT Not accepted 
ARDMS Not accepted 

CQR / Structured education

This course offers 24 category A credits for the general continuing education requirements of the ARRT (American Registry of Radiologic Technologists). Regarding the credits offered by this course for CQR (Continuing Qualifications Requirements) and structured education, refer to the table below.

Discipline Content Category - Sub Category Credits
MAM Patient Care - Patient Interactions and Management 1.75
MAM Image Production - Image Acquisition and Quality Assurance 8.75
MAM Procedures - Anatomy, Physiology, and Pathology 0.50
MAM Procedures - Mammographic Positioning and Procedures 1.00
RAD Safety - Radiation Physics and Radiobiology  4.50
RAD Safety - Radiation Protection  1.75
CT Safety - Radiation Safety and Dose 3.50
NMT  Safety - Radiation Physics, Radiobiology, and Regulations 6.00
BD Patient Care - Patient Bone Health, Care, and Rad Principles 0.25
THR Safety - Radiation Physics and Radiobiology 4.50
THR Safety - Radiation Protection, Equipment Operation, and QA 1.75
RA Safety - Patient Safety, Rad Protection, and Equip Operation 3.00
RA Procedures - Thoracic Section 1.00
VI Image Production - Image Acquisition and Equipment 1.75
CI  Image Production - Image Acquisition and Equipment  1.75

Description

Designed for mammography technologists, this course focuses on patient care, radiation safety, and Quality Assurance (QA). It details the physics behind mammography, the shift to digital technology, and the latest studies and applications of Artificial Intelligence (AI). The course finishes by emphasizing mammography as the first modality in the diagnosis and follow-up of breast cancer patients.

Did you know?

The current generation of AI doesn't just act as a second pair of eyes to help spot cancer, as older computer-aided detection (CAD) systems did. Instead, it can analyze subtle tissue patterns to predict a woman's breast cancer risk years into the future.

Source: Social Driver. (2025, August 27). Can AI predict breast cancer? How a scientist’s personal challenge launched a professional mission - NAM. NAM. https://tinyurl.com/9nhnhpfw.