A decade after machine-learning scientist and Nobel laureate Geoffrey Hinton predicted that deep learning would outperform radiologists within five to ten years, radiologists have not been displaced. Instead, STAT News reports, a growing number of radiology practices—especially outpatient and teleradiology groups—are developing and acquiring AI tools and deploying them in-house.
Startups say owning a practice helps them perfect their technology by deploying it in real clinical settings. That arrangement blurs the line between technology development and clinical practice: the same organization is both building the AI and using it on patients.
These groups are also marketing their "AI-native" capabilities to radiologist employees and hospital customers. The shift suggests that rather than waiting to be disrupted by AI, some radiology practices are trying to own the disruption.