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Sonography Students: You can apply to take the SPI examination before graduation.

If you pass a physics class, you can apply for the SPI examination year-round. Learn more about the SPI examination!

 

Apply now! ›

The MSKS examination is now open!

The Musculoskeletal Sonographer (MSKS) examination is now open! Learn more about the benefits of earning the RMSKS credential.

Apply now! ›

Registrants, have you claimed your digital badge yet?

​The ARDMS launched a digital badging program to help our registrants promote their credentials. Learn about the benefits of digital badging and more!

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APPLY NOW FOR THE PEDIATRIC SONOGRAPHY (PS) EXAMINATION

​The current Pediatric Sonography (PS) application period is now open. Learn more about the examination process and how to become credentialed in PS.

Apply Now! ›

You can now apply for the Midwife examination now through February 25!

By earning the Midwife Sonography Certificate, midwives gain a critical edge in promoting public safety in women’s point-of-care ultrasound.

Apply Today! ›

Watch #RealTalkSonography, a new video series by ARDMS!

Real Talk Sonography is a new five-part video series about the passion 20+ sonographers have for their profession. Enjoy all five videos now.

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Currently Open & Upcoming Examinations

You can apply now for the following examinations.

​Examination ​Application Period Ready to Apply? ​Need More Info?
AB ​Year-Round Apply Now ​Learn More
BR ​Year-Round Apply Now ​​Learn More
AE  Year-Round Apply Now ​​Learn More
OB/GYN ​ ​Year-Round Apply Now ​​Learn More​​
SPI ​Year-Round Apply Now ​Learn More
VT ​Year-Round Apply Now ​​Learn More
MW ​Dec. 10, 2019 – Feb. 25, 2020 Apply Now ​​Learn More
FE ​Dec. 10, 2019 – Feb. 25, 2020 Apply Now ​​Learn More
PS ​Dec. 10, 2019 – Feb. 25, 2020 Apply Now ​​Learn More
PE January 14, 2020 – March 24, 2020 Apply Now ​​Learn More
MSKS January 28, 2020 – April 7, 2020 Apply Now ​​Learn More
Ultrasound Jobs by ARDMS
Ultrasound SmartBrief

AI use may boost automated breast ultrasound exams

2/18/2020

Researchers used a convolutional neural network to analyze a data set of 316 breast lesions from 263 patients and found that the artificial intelligence algorithm was able to differentiate benign lesions from malignant ones on automated breast ultrasound images with an area under the curve of 0.947, a specificity of 87.6% and a sensitivity of 88.6%. The findings, published in Ultrasound in Medicine and Biology, noted that the "proposed CNN can be integrated into existing [computer-aided diagnosis] systems to provide effective lesion feature extraction and robust breast cancer classification," researchers wrote. AuntMinnie (free registration) (2/14)

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