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Company description

Rad AI is a generative AI software company purpose-built for radiology, empowering physicians and health systems with advanced AI solutions designed to save time, reduce burnout, and improve patient care. Founded in 2018 by Dr. Jeff Chang — one of America's best-known radiologists and the youngest US radiologist in history — and serial entrepreneur Doktor Gurson, Rad AI leverages proprietary generative AI models trained specifically for radiology and healthcare, along with one of the largest proprietary radiology report datasets in the world. Today, Rad AI is the fastest-growing company in generative AI for healthcare, working with over 40% of all US health systems and 9 of the 10 largest US radiology practices.

Rad AI's platform addresses critical challenges facing modern radiology departments: rising imaging volumes, a shrinking radiologist workforce, and increasing provider burnout. Its suite of products spans radiologist workflow automation and patient follow-up management, each designed to integrate seamlessly into existing clinical environments and deliver measurable efficiency and quality gains.

Core Products

• Rad AI Reporting — A breakthrough radiology AI reporting platform built on Rad AI's leadership in generative AI. It enables radiologists to generate complete reports in their own language — whether using structured reporting or free dictation — by simply dictating pertinent findings. The platform boosts productivity while minimizing fatigue, helping radiologists achieve exponential efficiency gains with less perceived effort. It has been recognized as "Best New Radiology Software" by AuntMinnie.
• Rad AI Impressions — An AI-powered tool that automatically generates radiology impressions customized to each radiologist's individual language and style. Rad AI Impressions saves radiologists 60 or more minutes per shift and significantly reduces burnout. It was one of the first generative AI solutions in healthcare, surpassing 1 million reports processed monthly as of March 2023. Radiologists describe it as a game changer for overnight shifts and high-volume case loads.
• Rad AI Continuity — A comprehensive follow-up management platform that automates patient follow-ups for significant incidental findings identified in radiology reports. Continuity tracks more than 50 categories of incidental findings, closes the loop on follow-up recommendations, improves patient outcomes, reduces health system liability, and drives new financial value. It is described as the most automated and most comprehensive solution in follow-up management, providing health systems with a 100% radiology safety net.

Key Capabilities and Impact

• Approximately 1 billion fewer words dictated across the platform's user base
• 60 or more minutes saved per radiologist per shift through automated impression generation
• 84% of users report reduced burnout after adopting Rad AI solutions
• Rad AI Continuity tracks whether patient follow-ups occur within recommended timeframes, mitigating liability and keeping patients within health system networks
• Seamless integration into existing radiology workflows, enabling immediate efficiency gains without disruption
• Generative AI models trained specifically for radiology and healthcare, ensuring outputs are customized to each radiologist's language and reporting style

Customers and Testimonials

• Virtua Health reports that Rad AI Continuity is the most comprehensive follow-up management platform on the market, significantly increasing patient follow-up rates across more than 50 categories of incidental findings
• Cone Health describes achieving a 100% radiology safety net with Continuity, ensuring every report with an incidental finding is communicated to appropriate stakeholders within recommended timeframes
• Radiology Associates of North Texas highlights that Rad AI Reporting enables radiologists to achieve efficiency gains while remaining in a productive flow state with less fatigue
• Naugatuck Valley Radiology, Inland Imaging, Strategic Radiology, ProScan Imaging, Regional Diagnostic Radiology, Radiology Associates of Northern Kentucky, and Radiology Limited are among the many practices and health systems that have adopted Rad AI solutions
• Customers consistently report improvements in accuracy, efficiency, job satisfaction, and reduction in stress

Company Background and Funding

• Founded in February 2018 and officially incorporated; seed funding led by Gradient Ventures, Google's AI Fund
• Pilot launch of Rad AI Impressions in December 2018, one of the first generative AI solutions in healthcare
• Named "Best New Radiology Vendor" by AuntMinnie in 2021
• Raised $25 million in Series A funding led by ARTIS Ventures in 2021
• Ranked #1 in Mean KPI Score on Black Book's HealthTech Survey in 2022
• Named to CB Insights "AI 100" list of most promising AI companies in 2022 and CB Insights "Digital Health 50" list in 2023
• Acquired Equium Intelligence in November 2022
• Raised $50 million in Series B funding led by Khosla Ventures in May 2024
• Ranked #19 on the Deloitte Technology Fast 500 in November 2024
• Raised $60 million in Series C funding led by Transformation Capital in January 2025, bringing total funding to over $140 million
• Established its first international partnership in July 2024

Leadership Team

• Dr. Jeff Chang, Co-founder and CPO — The youngest radiologist and second youngest doctor in US history; 10+ years as a practicing ER radiologist with a fellowship in musculoskeletal MRI; graduate work in machine learning and deep learning; Head of Business AI Panel at the ACR Data Science Institute
• Doktor Gurson, Co-founder and CEO — Serial tech entrepreneur since age 16; founded the world's 32nd ICANN-accredited Domain Registrar; multiple startups and acquisitions across a 20-year technology career; investor and advisor to prominent startups
• Dr. Elizabeth Bergey, CMIO — Immediate past President and CEO of Quantum Imaging, one of the largest private radiology practices in the US; former academic pediatric interventional radiologist; radiology technology innovator; residency at Cleveland Clinic, fellowships at Children's Hospital of Philadelphia and Pittsburgh
• Dr. Andrew Del Gaizo, CMIO — Abdominal radiologist at Moffitt Cancer Center and Deputy Director for VA Teleradiology; deep expertise in clinical leadership and radiology operations; active ACR committee member; residency at Emory, fellowship at Mayo Clinic, MBA from Duke University
• Dr. Rishi Seth, CMIO — Neuroradiologist at Fairfax Radiological Consultants specializing in imaging informatics and AI-driven innovation; former Medical Director of Imaging Informatics at RANT; expert in AI implementation, workflow optimization, data analytics, interoperability, and UX/UI design; fellowships in Imaging Informatics at University of Maryland and Neuroradiology at Northwestern

Rad AI has received numerous industry recognitions including AuntMinnie's Best New Radiology Vendor and Best New Radiology Software awards, CB Insights AI 100 and Digital Health 50 designations, RBMA Rad Honors awards for Brand Evolution and Culture and Well-Being, placement on the Deloitte Fast 500, and inclusion on the Inc. 5000 list. Backed by top investors including Gradient Ventures, ARTIS Ventures, Khosla Ventures, and Transformation Capital, Rad AI continues to pioneer the future of healthcare with generative AI.

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Software attributed to Rad AI

• Rad AI ReportingView
• Rad AI ImpressionsView
• Rad AI ContinuityView

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