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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!

 

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The MSKS examination is now open!

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

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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.

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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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