What you should know:
– Rad AI, an AI company run by radiologists based in Berkely, CA, today announced $ 25 million in Series A funding led by ARTISTS Ventures with the participation of several existing investors, including OCV members, Kickstart Fund, i Gradient Ventures (Google AI-focused background).
– Rad AI Omni automatically generates a personalized impression based on the findings and the clinical indication dictated by the radiologist, using the most advanced neural networks. Learn the language preferences of each radiologist from all of their previous reports, to create an impression that the radiologist can simply review and finalize.
Designed by Radiologists, for Radiologists
Rad AI was founded by radiologists who understand these pressures first hand. Dr. Founder Jeff Chang, the youngest radiologist and the second youngest physician in the United States, was concerned about high error rates, the depletion of radiologists, and the increasing demand for imaging despite the worsening of the shortage of American radiologists, so he decided to continue working on graduate work in machines. learn to identify ways that TO THE could help. After meeting serial entrepreneur Doktor Gurson, they created Rad AI in 2018 at the intersection of radiology and AI. Built by radiologists, for radiologists, Rad AI is transforming the field of radiology with inner perspective as a driving force.
Rad AI uses state-of-the-art machine learning to streamline the repetitive tasks of radiologists, which saves a substantial amount of time, relieves exhaustion, and creates more time to focus on patient care. Its first product, Rad AI Omni, saves radiologists an average of 60 minutes a day and helps achieve time savings of up to 20% per report.
In addition, Rad AI Omni improves the accuracy and consistency of reports by ensuring that significant incidental findings are included, answering the main clinical question, and providing recommendations for consensus guidelines for follow-up. The impression appears in the speech recognition software of the consultation as soon as the radiologist has just dictated the findings, without any clicks, shortcut keys or new windows.
The second product of Rad AI, Continuity, closes the cycle of follow-up recommendations for significant incidental findings in radiology reports. Using AI-driven automation, Continuity ensures that proper patient monitoring is communicated and completed. This improves patient outcomes, reduces healthcare system liability, and generates new financial value for health systems and radiology practices. Continuity is integrated directly into health systems’ EMR, and also has a platform available for ambulatory imaging.
Rad AI plans to use the latest round of funding to drive the development and commercialization of Rad AI Omni and Rad AI Continuity, the company’s first core offerings on its AI platform, and advance Rad’s mission. AI to empower radiologists with AI, saving them time. reduce burnout and help improve the quality of patient care.
“At Rad AI, we have always believed that AI will increase and benefit radiologists, not replace them,” said Doktor Gurson, co-founder and CEO of Rad AI. “Radiology is an extraordinarily complex field, of which image pattern recognition is only a small part. By creating products that put the radiologist and the patient first, we have been able to overcome noise and focus on what it really matters: reducing the radiologist’s fatigue and improving patient care. “