Primed for Acceleration

Rad AI’s generative AI platform streamlines radiology workflows, boosting accuracy, efficiency, and satisfaction while improving follow-up, reducing risk, and increasing revenue across health systems.
Published:
July 2025
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THE PROBLEM
radiologists

The growing gap between imaging demand and limited physician time is causing:

  • Rising volumes, care delays, and burnout
  • Over half of radiologists to report burnout, with a shortage of 42,000 expected by 2033
  • Increasing patient safety risks
  • Recognition among radiologists that adopting AI is essential to meet clinical and personal needs
THE MARKET

Radiology groups and health systems urgently need to boost radiologist efficiency to reduce burnout and keep pace with growing imaging demand. Bridging the supply-demand gap requires innovative, personalized technology that enhances physician workflows.

  • Radiologists now spend 75-80% of their time on dictation and reporting, rather than interpreting images
  • With increased demand, radiologists are now expected to read ~2-3x more studies daily without additional resources

Only ~30% of patients with follow-up recommendations receive appropriate care. Millions of serious conditions (cancers, aneurysms, etc.) go untreated, delaying intervention and putting patient health and safety at risk.

WHY WE INVESTED

Radiologists love Rad AI because it improves workflow efficiency, accuracy, and patient outcomes.

  • Impressions: reduces report errors by up to 47% and saves radiologists over an hour per shift by auto-generating impressions tailored to each provider.
  • Reporting: cuts dictation time by ~50% and reduces words dictated by up to 90%, boosting productivity and consistency with AI.
  • Continuity: raises patient follow-up rates from 30% up to ~85%, driving downstream revenue, lowering liability risk, and, most importantly, ensuring better patient care across the board.

    More at RadAI.com.

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