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!
News

Raleigh Radiology, One of the Largest Radiology Groups in North Carolina, Partners with Rad AI

Raleigh Radiology, One of the Largest Radiology Groups in North Carolina, Partners with Rad AI

Rad AI Omni’s generative AI capabilities will enhance the imaging center’s radiology report dictation and accelerate interpretations

RALEIGH, NC, August 11, 2023 – Raleigh Radiology, one of the most technologically advanced radiology practices in the Triangle reading over 1M studies a year, is adding Rad AI Omni’s generative AI capabilities to its practice. This latest partnership supports Raleigh Radiology’s commitment to providing patients and referring physicians with the best medical imaging services through extraordinary expertise in an efficient and compassionate environment. 

“After hearing about all of the benefits Omni provides from other radiologists and practices, we made the decision to prioritize a partnership with Rad AI for our own radiology group. We are excited to move into the future with the class-leading generative AI capabilities that Rad AI Omni offers, and the ways it will positively impact our radiologists’ burnout and report efficiency.”
-Dr. Mustafa Khan, Chief Medical Information Officer at Raleigh Radiology

Rad AI’s solution, Omni, automatically generates a customized radiology report impression from the findings and clinical indication dictated by the radiologist, using the most advanced 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, answering 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.

“We are excited to partner with Raleigh Radiology, a highly innovative practice in North Carolina, to increase its practice efficiency while also improving physician burnout. Being a radiologist-led company, we understand the importance of AI solutions that create little to no friction in a practice’s existing workflow while providing benefits to both radiologists and patients.”
-Dr. Jeff Chang, ER radiologist and co-founder of Rad AI

About Raleigh Radiology

Raleigh Radiology is dedicated to offering expertise in musculoskeletal, abdominal, women, and pediatric imaging, as well as neuroradiology, nuclear medicine radiology, and interventional and vascular radiology. With convenient locations throughout the Triangle, Raleigh Radiology is committed to providing caring expertise to all its patients.

Learn more about Raleigh Radiology at www.raleighrad.com.

About Rad AI

Rad AI is the fastest-growing radiologist-led AI company. In addition to being named “Best New Radiology Vendor” by AuntMinnie in October 2021, Rad AI was listed as one of the Digital Health 150 by CB Insights, as one of the most innovative digital health startups. In 2022, Black Book ranked Rad AI #1 in Mean KPI score on its survey of 50 emerging solutions challenging the healthcare technology status quo, and Rad AI was recognized to the AI 100 by CB Insights, as one of the world’s 100 most promising private AI companies.

Founded in 2018 by the youngest radiologist in U.S. 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 U.S. Rad AI uses state-of-the-art machine learning to streamline repetitive tasks for radiologists and automate workflow for health systems, 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 DEMO

Request a demo

Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.