Rad AI is a healthcare technology company specializing in generative AI solutions for radiology, focused on improving radiologist productivity, reducing burnout, and enhancing patient care. Rad AI provides cutting-edge platforms that automate key aspects of the radiology workflow, enabling healthcare organizations to deliver more efficient and accurate diagnostic services.
What are Rad AI's Main Products?
Rad AI offers three primary products designed to address the major challenges in radiology:
- Rad AI Reporting: A radiology AI reporting platform built on Rad AI’s expertise in generative AI, aimed at boosting radiologist productivity while minimizing fatigue.
- Rad AI Impressions: Automatically generates report impressions customized to each radiologist’s preferred language, saving over 60 minutes per shift and helping reduce burnout.
- Rad AI Continuity: Automates patient follow-ups by closing the loop on incidental findings in radiology reports, helping to improve patient outcomes, reduce health system liability, and drive new financial value.
These solutions are designed to streamline complex, time-consuming tasks, supporting radiologists and health systems in delivering better care with fewer administrative burdens.
Who Uses Rad AI?
Rad AI's products are used by a wide range of radiology practices, imaging centers, and healthcare systems across the United States. Some of their notable customers include:
- Radiology Associates of North Texas
- Inland Imaging
- Radia
- Carle Health System
- Steinberg Diagnostic Imaging
- United Imaging Consultants
- Einstein Healthcare Network
- Strategic Radiology
- Cone Health
- Virtua Health
- Bayer
- AGFA HealthCare
- Advocate Health
This diverse customer base illustrates Rad AI's focus on serving large radiology groups, health systems, and imaging networks aiming to optimize efficiency and patient care.
What Makes Rad AI Different?
Rad AI stands out for its leadership in applying generative AI to radiology workflows, with a strong emphasis on both radiologist well-being and improving patient outcomes. Their platforms are designed not only to automate repetitive tasks but also to customize outputs to each radiologist’s style, which can reduce burnout. Rad AI Continuity addresses a critical gap in healthcare by ensuring follow-up recommendations are managed automatically, supporting better clinical outcomes and reducing liability.
Rad AI's impact was recently recognized when it was named to CNBC's Disruptor 50 List for 2025, underscoring its role as a pioneer in healthcare AI innovation.
Who Leads Rad AI?
Rad AI’s leadership team combines deep expertise in radiology, artificial intelligence, and healthcare technology:
- Dr. Jeff Chang, Co-founder & CPO: Renowned radiologist and machine learning expert, known as the youngest radiologist in US history.
- Doktor Gurson, Co-founder & CEO: Serial tech entrepreneur with over 20 years of experience in scaling technology businesses.
- Dr. Elizabeth Bergey, CMIO: Former President & CEO of Quantum Imaging.
- Dr. Andrew Del Gazio, CMIO: Abdominal radiologist and deputy director for VA Teleradiology.
- Dr. Rishi Seth, CMIO: Neuroradiologist and imaging informatics specialist.
- Additional leadership includes expertise in technology, people operations, legal, and implementations.
Their combined backgrounds position Rad AI at the intersection of clinical insight and technological innovation.
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