Rad AI Resource Hub

The collaboration aims to save radiologists time, reduce burnout, and ultimately improve the quality of patient care

List showcases the 50 most promising private digital health companies of 2023 based on team strength, tech novelty, market potential, and impact on the industry.

Omni Unchanged exemplifies the 'Speak Less, Say More' philosophy in Rad AI Omni Reporting, empowering radiologists to tackle complex exams more efficiently, decreasing stress and repetitive workload

Partnership with Rad AI will improve patient outcomes and collaboration amongst the health system, radiologists, and outpatient providers

Rad AI’s best-in-class patient follow-up management and automated radiology impression technologies complement Siemens Healthineers’ impressive product portfolio

Rad AI Omni Reporting provides a “Speak Less, Say More” experience using GenAI pioneered by Rad AI, along with high accuracy and speed on modern architecture, as a timely response to growing dissatisfaction with current radiology reporting options

Rad AI Omni Reporting’s generative AI capabilities will move radiology reporting from stagnation to innovation with its “Speak Less, Say More” promise

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

In this podcast episode, we delve into the integration of AI in radiology with Jeff, co-founder of Rad AI, exploring its transformative impact on radiology workflows and patient care

Practice is first in the LA area to add groundbreaking generative AI to its radiologists’ workflow

NVRA, the first in Connecticut to use Rad AI Omni to automate impressions, selects Continuity for its class-leading 90%+ patient follow-up resolution rates and positive impact on patient care

Reed Humphrey Joins Rad AI as VP of Strategic Partnerships; Josh Duncan promoted to Sr. VP of Sales, Marketing, and Customer Success

Radiologist innovators Bill Boonn and Woojin Kim among the talented Equium team joining Rad AI to further enhance Rad AI’s suite of radiology workflow applications

Medical Director at Carle Health sees Rad AI Omni as a must-have, ranking it at the top of his list of AI Solutions

Expanded partnership focuses on maximizing benefits to patient care and reducing radiologist fatigue

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

Radiology Associates, P.A., a nationally recognized leader in innovative technologies, is expanding its partnership with Rad AI less than a year after its initial announcement.

Dr. Seth brings extensive informatics knowledge along with firsthand experience from numerous radiology AI deployments at scale

STAR Teleradiology, a Florida-based radiology practice with over 75 years of experience, announced it is expanding its partnership with Rad AI.

Catawba Radiology, a western North Carolina imaging leader since 1950, announced it is partnering with Rad AI, the nation’s fastest-growing radiologist-led AI company, to use its advanced technology in generating customized radiology report impressions.

Radiology Associates of Albuquerque, PA a Strategic Radiology Practice, Partners with Rad AI for Omni

Blackford, a medical imaging AI platform leader that helps healthcare professionals add clinical value, today announced a strategic partnership with Rad AI, the nation’s fastest-growing radiologist-led AI company.

Radiology Imaging Associates, a Colorado radiology practice with over 100 radiologists, announced it is expanding its partnership with Rad AI.

U.S. Radiology Specialists, Inc. announces expansion of the use of the innovative Rad AI technology platform at Tucson-based Radiology, Ltd.

Rad AI recognized for achievements in automated radiology report impressions (Omni) and closing the loop on incidental findings (Continuity)

Partnership provides the practice with access to Rad AI Omni, the only AI solution improving efficiency and quality while reducing radiologist burnout

Gaston Radiology announces it is partnering with Rad AI to use its advanced technology in generating customized radiology report impressions

Collaboration is a catalyst for maximizing the positive impact radiologists can make in patient care by using the latest advances in AI to automate impressions

Recognition from Black Book follows 2021 “Best New Radiology Vendor” from AuntMinnie and CB Insights Top 150 Most Innovative Digital Health Startups

Rad AI has been included in the annual Black Book™ survey, celebrating 50 emerging solutions which are methodically challenging the healthcare technology status quo

Partnership with Rad AI will improve patient outcomes and collaboration amongst health systems, radiologists, and outpatient providers

Partnership provides NVRA radiologists with access to Rad AI Omni, the only AI solution improving efficiency and quality while reducing radiologist burnout

Rad AI recognized for achievements in workflow digitization and automation

Partnership provides SR practices with preferred access to Rad AI Omni, the only AI solution improving efficiency and quality while reducing radiologist burnout

Led by ARTIS Ventures, funding will advance further development and commercialization of Rad AI’s machine learning platform

The Minnies have been the premier awards event in radiology for over 20 years

Rad AI Omni is significantly improving efficiency and quality while reducing radiologist fatigue

Partnership with Rad AI embraces cutting-edge AI to improve quality and speed of radiology reports

Optimizing speed, performance, and customer success on AWS

Partnership with Rad AI embraces cutting-edge AI to reduce burnout by helping radiologists dictate up to 35% fewer words

Expanded partnership focuses on maximizing benefits to patient care and increasing radiologist productivity

Partnership with Rad AI embraces cutting-edge AI to automate impressions and consensus guideline recommendations

Collaboration accelerates the positive impact radiologists can make in patient care by using AI to automate impressions and consensus guideline recommendations

Collaboration is a catalyst for maximizing the positive impact radiologists can make in patient care by using the latest advances in AI to automate impressions

Partnership with Rad AI embraces cutting-edge AI to automate impressions and consensus guideline recommendations

Interview from AI Med with Dr. Chang

Listen to an incredible panel of radiology AI thought leaders discuss GenAI’s potential in radiology and how it is already changing how radiologists approach reporting.

Join two visionary radiologists and entrepreneurs as they share their journey to joining Rad Al and why they believe Omni Reporting will transform the radiology reporting segment

Join us to hear how Rad AI Omni is helping radiologists at large Academic Medical Centers like Einstein / Jefferson Health spend less time on repetitive tasks and more time on value add activities.

Join us to hear how RANT, one of the largest private radiology practices in the country, has improved productivity by 15% utilizing a worklist that prioritizes performance, minimal interruption to workflow, and the most sophisticated case assignment algorithms.

Join us to hear how Cone Health, one of North Carolina's largest health systems, is taking steps to ensure all its patients receive follow-up care for incidental findings without increased staffing.

Hear industry experts discuss their use of Rad AI Omni and why radiologists should not delay embracing impactful AI.

Dr. Scott Bundy, CEO and Chair of Strategic Radiology, joined our "AI in Practice" webinar series.

Dr. Nicholas Galante, Medical Director of Informatics at RANT, joined our “AI in Practice” webinars series.

Dr. Eliot Siegel, Vice Chair of Imaging Informatics at the University of Maryland School of Medicine, joined our “AI in Practice” webinar series. Dr. Sonia Gupta, AI thought leader and abdominal radiologist, moderated the discussion.

Dr. Jason Poff, abdominal and thoracic radiologist from Greensboro Radiology, joined Rad AI to discuss the real world benefits for radiologists achieved from AI-driven workflow automation.