Rad AI announces new artificial intelligence-powered software for radiology reports
Rad AI, a California-based startup focused on using artificial intelligence (AI) to improve radiologist workflows, has announced the launch of its new radiology reporting software, Rad AI Omni Reporting.
According to the company, which first started in 2018, this next-generation software will “move radiology reporting from stagnation to innovation.” Rad AI is previewing Omni Reporting on Sept. 27 and then making the software commercially available throughout the United States at RSNA 2023 in Chicago.
“Being a radiologist-led and radiologist-focused company, we understand the importance of AI solutions that save radiologists time, reduce fatigue and burnout, and radically improve our daily experience,” Jeff Chang, MD, Rad AI’s co-founder and a veteran radiologist, said in a prepared statement.
Rad AI is already home to three AI-powered solutions for radiologists: Rad AI Omni Impressions, which generates automatic radiology report impressions based on imaging results and radiologist-dictated notes; Rad AI Continuity, which ensures follow-up recommendations are communicated and carried out by the necessary team members; and Rad AI Nexus, which builds worklists designed to connect radiologists with the most appropriate exams.
“Rad AI is uniquely positioned to transform the radiology reporting landscape,” Doktor Gurson, Rad AI CEO, said in the same statement. “Having been the pioneer in introducing large language models to radiology in 2018 with our Rad AI Omni Impression solution, we're now expanding the use of our technology across various facets of the radiology reporting workflow and are harnessing the power of generative AI in truly novel and transformative ways to empower radiologists. By ushering in the next generation of radiology reporting and taking radiology reporting from stagnation to innovation, we will improve the lives of radiologists and patients across the globe.”
More details about Rad AI’s upcoming launch day for Omni Reporting are available here.
Additional coverage of AI’s significant impact on modern healthcare is available here, here and here.
Michael has more than 18 years of experience as a professional writer and editor. He has written at length about cardiology, radiology, artificial intelligence and other key healthcare topics.