Latest news with #DoktorGurson
Yahoo
3 days ago
- Business
- Yahoo
Rad AI Named to CNBC Disruptor 50 List For Pioneering Generative AI in Healthcare
Recognition comes amid rapid growth, with Rad AI recently securing $68 million in Series C Funding and ranking 19th on the Deloitte Fast 500. SAN FRANCISCO, June 10, 2025 /PRNewswire/ -- Rad AI, the leader in generative AI for healthcare, today announced it was named to the 2025 CNBC Disruptor 50 list. The annual list recognizes the most innovative, fast-growing private companies that are disrupting established industries using breakthrough technologies. This recognition further solidifies Rad AI's position as the leader in pioneering AI-driven solutions that improve radiologist efficiency, reduce burnout, and enhance patient care. The CNBC Disruptor 50 recognition follows a remarkable period of company growth that includes several recent milestones: Closed $68M Series C, including strategic investments from some of the nation's most respected health systems. Ranked #19 on the 2024 Deloitte Fast 500. "Being named to the CNBC Disruptor 50 list is an incredible honor for Rad AI," said Doktor Gurson, CEO and co-founder of Rad AI. "Since our founding in 2018, we've believed that AI should empower—not replace—radiologists. Our mission has always been to deliver AI-driven solutions that save time, reduce burnout, and elevate patient care. This recognition from CNBC not only highlights our impact in transforming healthcare through AI, but also reinforces our ongoing commitment to creating meaningful, lasting change in the lives of physicians and patients alike." Today, Rad AI is the leading provider of generative AI solutions for radiology workflow optimization and patient follow-up management, with its solutions trusted by over 50% of U.S. health systems and 9 of the 10 largest radiology practices in the country. Rad AI was the first company to deploy large language model (LLM)-based generative AI into radiology workflows with its groundbreaking Rad AI Impressions solution. As the company continues to lead innovation in healthcare AI, it is rapidly expanding its network of strategic partnerships and accelerating efforts to bring its transformative technology to more providers across the globe. Rad AI is making significant investments in partner support, advancing product innovation, and scaling its AI-powered platform to additional health systems and radiology practices. To learn more about Rad AI's solutions, visit About Rad AI Rad AI is the leader in generative AI solutions for radiology, transforming the way radiologists work and improving patient care. The company's flagship product, Rad AI Reporting, streamlines radiology reporting with AI-driven technology and empowers radiologists to achieve greater efficiency, accuracy, and satisfaction. Rad AI Impressions, the company's pioneering product, established Rad AI as an innovator in generative AI for radiology; as the first generative AI application to achieve widespread adoption in radiology, it is now trusted by thousands of U.S. radiologists. Rad AI Continuity, the most comprehensive solution of its kind, provides AI-driven patient follow-up. Rad AI is the fastest-growing radiologist-led AI company and has been recognized as one of the most promising healthcare AI companies by CB Insights (Digital Health 50, AI 100) and AuntMinnie (Best New Radiology Software). Rad AI was named the 19th fastest-growing company in North America on the Deloitte Fast 500. Most recently, in April 2025, Rad AI was named the 4th fastest-growing private company on the Inc. Regionals Pacific list. Learn more about Rad AI at or on LinkedIn at PR Contact: Wei Ting Hsieh, Rad AI, View original content to download multimedia: SOURCE Rad AI Error in retrieving data Sign in to access your portfolio Error in retrieving data Error in retrieving data Error in retrieving data Error in retrieving data
Yahoo
3 days ago
- Business
- Yahoo
Rad AI Named to CNBC Disruptor 50 List For Pioneering Generative AI in Healthcare
Recognition comes amid rapid growth, with Rad AI recently securing $68 million in Series C Funding and ranking 19th on the Deloitte Fast 500. SAN FRANCISCO, June 10, 2025 /PRNewswire/ -- Rad AI, the leader in generative AI for healthcare, today announced it was named to the 2025 CNBC Disruptor 50 list. The annual list recognizes the most innovative, fast-growing private companies that are disrupting established industries using breakthrough technologies. This recognition further solidifies Rad AI's position as the leader in pioneering AI-driven solutions that improve radiologist efficiency, reduce burnout, and enhance patient care. The CNBC Disruptor 50 recognition follows a remarkable period of company growth that includes several recent milestones: Closed $68M Series C, including strategic investments from some of the nation's most respected health systems. Ranked #19 on the 2024 Deloitte Fast 500. "Being named to the CNBC Disruptor 50 list is an incredible honor for Rad AI," said Doktor Gurson, CEO and co-founder of Rad AI. "Since our founding in 2018, we've believed that AI should empower—not replace—radiologists. Our mission has always been to deliver AI-driven solutions that save time, reduce burnout, and elevate patient care. This recognition from CNBC not only highlights our impact in transforming healthcare through AI, but also reinforces our ongoing commitment to creating meaningful, lasting change in the lives of physicians and patients alike." Today, Rad AI is the leading provider of generative AI solutions for radiology workflow optimization and patient follow-up management, with its solutions trusted by over 50% of U.S. health systems and 9 of the 10 largest radiology practices in the country. Rad AI was the first company to deploy large language model (LLM)-based generative AI into radiology workflows with its groundbreaking Rad AI Impressions solution. As the company continues to lead innovation in healthcare AI, it is rapidly expanding its network of strategic partnerships and accelerating efforts to bring its transformative technology to more providers across the globe. Rad AI is making significant investments in partner support, advancing product innovation, and scaling its AI-powered platform to additional health systems and radiology practices. To learn more about Rad AI's solutions, visit About Rad AI Rad AI is the leader in generative AI solutions for radiology, transforming the way radiologists work and improving patient care. The company's flagship product, Rad AI Reporting, streamlines radiology reporting with AI-driven technology and empowers radiologists to achieve greater efficiency, accuracy, and satisfaction. Rad AI Impressions, the company's pioneering product, established Rad AI as an innovator in generative AI for radiology; as the first generative AI application to achieve widespread adoption in radiology, it is now trusted by thousands of U.S. radiologists. Rad AI Continuity, the most comprehensive solution of its kind, provides AI-driven patient follow-up. Rad AI is the fastest-growing radiologist-led AI company and has been recognized as one of the most promising healthcare AI companies by CB Insights (Digital Health 50, AI 100) and AuntMinnie (Best New Radiology Software). Rad AI was named the 19th fastest-growing company in North America on the Deloitte Fast 500. Most recently, in April 2025, Rad AI was named the 4th fastest-growing private company on the Inc. Regionals Pacific list. Learn more about Rad AI at or on LinkedIn at PR Contact: Wei Ting Hsieh, Rad AI, View original content to download multimedia: SOURCE Rad AI
CNBC
3 days ago
- Business
- CNBC
41. Rad AI
Founders: Doktor Gurson (CEO), Jeff ChangLaunched: 2018Headquarters: San FranciscoFunding: $143 millionValuation: $528 millionKey Technologies: Artificial intelligence, cloud computing, deep neural networks/deep learning, generative AI, machine learningIndustry: Health carePrevious appearances on Disruptor 50 list: 0 Radiologist burnout is a condition that Rad AI co-founder Jeff Chang has long experience with — arguably, longer than any other radiology specialist has ever witnessed. The youngest radiologist and second youngest doctor in U.S. history, Chang started medical school at 16 at New York University and worked long night shifts as an emergency room radiologist for a decade. The stress hasn't changed within his profession. With the vast majority of radiologists feeling overworked or at their limit, Rad AI is focused on using generative artificial intelligence to save time and enhance productivity. Rad AI offers products designed to streamline workflow for radiologists, Rad AI Reporting and Rad AI Impressions. Rad AI Reporting generates imaging reports based on radiologists stating their findings from scans into a microphone or software system. By combining speech recognition with machine learning algorithms, it can also create templates that match individual radiologists' language and style preferences. Rad AI Impressions provides a summary of what a patient's image shows, saving radiologists over an hour per shift, according to the company, time that can be put back into patient care and burnout prevention. Its AI models also identify follow-up recommendations from patient reports, and can automatically send communication to patients, which Rad AI says can increase needed follow-up appointments by as much as 40%. A decade ago, experts were predicting radiology would be one of the first professions entirely replaced by AI. AI pioneer Geoffrey Hinton of the University of Toronto, and formerly Google, was among those quoted as saying radiologists should no longer be trained. Hinton recently told the New York Times that he was wrong, and while AI is great at interpreting imagery, it is a profession where it looks like AI and human doctors will be working together for much longer. Rad AI's core reporting and imagery tools are designed to be reviewed and signed off by the radiologist. In the case of any system errors, the radiologist will have the final look at the patient's report and impression. The future for Rad AI is looking bright, as the company is currently working with half of all health systems and radiology practices in the United States, including recent deals with the Mayo Clinic, Cleveland Clinic, Yale New Haven and Cincinnati Children's Hospital. It also has recent partnerships with tech and health-care giants Google and Bayer.
