Turning Radiologists Into Super Radiologists | Chris Wood, RevealDx

Detecting what the human visual system cannot. And why complex cases still need a person for a long time. Book Ian for your event → iankhan.com | booking@iankhan.com SUMMARY Chris Wood of RevealDx explains applying computer vision and deep learning breakthroughs to medical imaging so radiologists detect what the eye cannot. He notes large imaging companies now running their own AI divisions, and is clear that complex cases will require a human for a long time yet. KEY FINDINGS • Adding value by detecting what the human visual system misses • Applying computer vision and deep learning breakthroughs to imaging • Large imaging companies now running their own AI divisions • Radiologists, images and AI divisions inside the same organisations • Complex cases still requiring a human for a long time • The radiologist shortage needing staffing solutions as well as AI • More people entering residency as part of the answer GUEST Chris Wood, CEO & Chairman, RevealDx FULL TRANSCRIPT iankhan.com/futurist/chris-wood-revealdx-super-radiologists Recorded at RSNA 2025 for The Futurist. ──────────────────── ABOUT IAN KHAN — HEALTHCARE AI KEYNOTE SPEAKER Most AI keynotes end with a better understanding. Mine end with a measured readiness score and a ninety-day plan. Your leadership team is assessed before the event, the room sees its own collective result live, and every attendee leaves with a ninety-day plan they helped build. Every year I interview more than 500 senior leaders on camera. Those