×
Rad AI raises $60M to combat radiologist burnout with AI imaging tools
Written by
Published on
Join our daily newsletter for breaking news, product launches and deals, research breakdowns, and other industry-leading AI coverage
Join Now

Rad AI secures $60 million in series C funding to expand its healthcare imaging AI solutions that already process nearly half of all medical imaging in the United States. The oversubscribed round values the company at $525 million and will fuel improvements to its workflow automation technology designed to combat radiologist burnout—a critical development as CT scan volume has skyrocketed from 3 million to 80 million annually since the 1980s, leaving almost 90% of radiologists at or beyond capacity.

The big picture: Rad AI has raised $60 million in series C funding to advance its AI-powered radiology solutions already used on approximately 50% of U.S. medical imaging.

  • The funding round was led by Transformation Capital with participation from existing investors including Khosla Ventures, World Innovation Lab, and others.
  • This investment values the healthcare AI company at $525 million, positioning it as a major player in the medical imaging AI sector.

Key details: The fresh capital will accelerate Rad AI’s development as a leading AI-driven workflow platform in healthcare, according to CEO Doktor Gurson.

  • The company plans to enhance its radiology workflow technology and streamline reporting processes to combat clinician fatigue and burnout.
  • Investment will also support improving patient care through more timely diagnoses enabled by AI automation.

Important stats: Rad AI’s technology addresses a critical need in radiology, where workloads have increased dramatically over recent decades.

  • CT scans in the U.S. have increased from approximately 3 million in the 1980s to about 80 million annually today.
  • Surveys reveal 88.4% of radiologists are either at capacity or overworked and overextended.

Behind the numbers: Rad AI has built a portfolio of AI solutions that significantly reduce radiologist workload while improving follow-up care.

  • The company’s first product, Rad AI Impressions, was developed in 2018 as the first generative AI solution in healthcare.
  • Its newest offering, Rad AI Reporting, reduces dictated words by up to 90%.
  • Rad AI Continuity has shown impressive clinical impact by increasing follow-up rates from 30% to 75% or more.
AI Health Care Company Leverages Generative AI Models for Radiology; Valued at $525M

Recent News

AI readiness initiative gains expert trainers from the Consortium for School Networking

Educational technology experts across eight states will create materials to help K-12 schools assess their AI readiness and implement generative AI, with a focus on supporting small and rural districts.

Taiwan’s foreign minister heads to Texas for trade boost amid tariff kerfuffle

Taiwan seeks to strengthen economic ties and AI collaboration with the U.S. as it navigates a 90-day pause on potential import tariffs.

Emperor’s New Groove: IBM unveils AI-powered LinuxONE Emperor 5 mainframe

IBM's new mainframe system brings traditional enterprise computing infrastructure into the AI era with specialized processors and accelerators designed for secure, high-performance AI workloads.