Rad AI Announces Strategic Partnership with Google. Read the Forbes coverage →
CB Insights Lists Rad AI on 50 Most Promising Digital Health Companies of 2023
Omni Reporting named Best New Radiology Software winner by AuntMinnie!

M&S Radiology in San Antonio Expands Agreement with Rad AI for Omni

M&S Radiology in San Antonio Expands Agreement with Rad AI for Omni

M&S Radiology joins numerous practices across the country in expanding Omni to more users

San Antonio, TX (August  11, 2022) -- M&S Radiology, an independent San Antonio-based radiology group, announced it is expanding its partnership with Rad AI to use its advanced technology in generating customized radiology report impressions to the entire practice. This expansion builds on M&S Radiology’s mission to provide exceptional diagnostic testing and accurate impressions throughout the state of Texas.

“Even though Rad AI has an incredible reputation in the radiology community, we were hesitant to try AI in our practice and wanted to prove it out for ourselves. After using Omni with a small initial set of users, we are so glad we did as we saw an immediate impact. We are now rapidly expanding to the rest of the radiologists in our practice. We use Rad AI Omni because it works seamlessly in the background. Our goal is to use technology that allows our radiologists to focus more on our patients and less on the technology. Rad AI does that.”
-Dr. Phillip Fortenberry, President of M&S Radiology

Rad AI’s Omni solution automatically generates a customized radiology report impression from the findings and clinical indication dictated by the radiologist, using state-of-the-art neural networks. It learns each radiologist’s language preferences from their prior reports, to create an impression that the radiologist can simply review and finalize.

In addition, Rad AI improves report accuracy and consistency by automatically including significant incidental findings, helping to answer the main clinical question, and providing the latest consensus guideline recommendations for follow-up. The impression appears in the practice's voice recognition software as soon as the radiologist finishes dictating the findings, without any clicks, hotkeys, or new windows.

“With the tremendous amount of skepticism around AI, especially within healthcare, it is not uncommon for radiology practices to be hesitant. It’s personally thrilling for me as a radiologist to see practices across the country expanding their use of Rad AI Omni based on how beneficial they’ve found this solution.”
Dr. Jeff Chang, ER radiologist and co-founder of Rad AI

About M&S Radiology:

M&S Radiology is an independent physician group with a long history of innovative imaging care in San Antonio for over 60 years. Our history leads us forward as we grow our practice balanced with hospitals, imaging centers, and a large-scale teleradiology networking covering the entire state of Texas and looking beyond.

M&S Radiology’s mission is to provide exceptional diagnostic testing and accurate interpretations in San Antonio throughout Texas. With our highly-skilled Board-Certified radiologists and conscientious, dedicated staff, we strive to provide all of our clients’ radiology imaging needs, and implement timely results to our clients’ physicians.

Learn more about M&S Radiology at https://msradiology.com.

About Rad AI:

Rad AI is the fastest growing radiologist-led AI company. In addition to winning the 2021 award for “Best New Radiology Vendor” from AuntMinnie, Rad AI ended the year by being named to the 2021 CB Insights Digital Health 150 list of “Most Innovative Digital Health Startups.” In 2022, Black Book ranked Rad AI #1 in Mean KPI score on its survey revealing 50 emerging solutions challenging the healthcare technology status, and Rad AI continued the momentum by being recognized in the 2022 CB Insights list of “100 Most Promising AI Companies.”

Founded in 2018 by the youngest radiologist in US history, Rad AI has seen rapid adoption of its AI platform, and is already in use at 8 of the 10 largest private radiology practices in the US. Rad AI uses state-of-the-art machine learning to streamline repetitive tasks for radiologists, which yields substantial time savings, alleviates burnout, and creates more time to focus on patient care.

Learn more about Rad AI at www.radai.com or on Twitter @radai.

Join the thousands of radiologists who trust Rad AI


Request a demo