A startup is building out its engineering team, expanding the rollout of its first product to more radiology groups and customers.
FREMONT, CA: Transforming radiology with the latest advances in technology, Rad AI, has secured $4 million seed round by Gradient Ventures, Google's AI-focused venture fund along with Array Ventures, Precursor Ventures, Hike Ventures, Investors UP2398, GMO Venture Partners, Fifty Years VC and various angels who participated in the investment. With radiology facing severe pressures, ranging from falling reimbursements to market consolidation, Rad AI will significantly increase productivity while mitigating radiologist burnout and improving report accuracy. The company believes that working closely with radiologists can make a positive impact on the patient.
Rad AI uses state-of-the-art ML for automating repetitive tasks for radiologists, providing them more time to focus on accurate and timely diagnosis for patients. The first product generates the impression section of radiology reports automatically, personalized specifically to the preferred language of each radiologist. Initial customers have also shown significant mitigation in radiologist burnout, turnaround time, and error rates while enhancing radiologists' well-being and patient care.
Rad AI's prevailing partners include Medford Radiology, Greensboro Radiology, Einstein Healthcare Network, and Bay Imaging Consultants, one of the most prominent private radiology organizations in the U.S. with other radiology groups yet to be announced. Product rollouts have confirmed an average of 20 percent timesavings on the interpretation of CTs and 15 percent timesavings on radiographs while translating into an hour a day saved for each radiologist.
Rad AI is on a mission to enhance patient outcomes and access to quality healthcare by applying state-of-the-art AI to radiology, a critical part of medical diagnosis and treatment. Designed by radiologists and for radiologists, our products make life better for both radiologists themselves and the patients they serve. The company is maximizing radiologist efficiency and accuracy, decreasing turnaround time for patients while also reducing burnout for radiologists. Rad AI is entirely transforming radiology with the advancement in technology.
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