Half a decade after being told that AI will replace radiologists, we’re instead seeing AI become a backstop for human error.
The answer to each of these is getting closer to yes.
The real power to improve radiology quality comes from AI’s innate ability to perform at massive scale. Instead of a practice overreading 1% of studies, AI can overread 100% of studies, looking for specific misses. Our quality improvement pilot has started in the shape of overreads for the QA team, but our sights are set on exponentially augmenting radiologist performance during the read — when the opportunity to improve clinical quality and patient care is greatest. Additionally, the immediate feedback becomes a powerful tool for radiologists to continually sharpen their skills, especially those in the earlier stages of their career.
I believe that utilizing AI to improve the quality of care available to patients will propel even further advancements in the technology and drive more widespread adoption quickly. I’m excited that the vision of an AI augmented reading room continues to unfold.