STAT+: In radiology, AI is blurring the line between technology development and clinical practice
A new wave of radiology practices are aggressively embracing AI: developing and deploying it in-house, and marketing themselves as 'AI-native.'
In radiology, artificial intelligence (AI) is transforming the landscape, blurring the lines between technology development and clinical practice. A decade ago, Nobel laureate Geoffrey Hinton warned that radiologists might soon be replaced by AI, predicting that in five to ten years, machines would perform better than human radiologists.
However, the field of radiology is not merely watching this technological shift with trepidation. Instead, many radiology practices, particularly outpatient and teleradiology groups, are actively integrating AI into their operations.
These forward-thinking practices are not only developing and acquiring AI technologies but also implementing them in-house. By doing so, they are able to leverage the power of AI to enhance their services and capabilities. In addition to these technological advancements, these AI-native radiology practices are proactively marketing their unique selling points to both their radiologist employees and hospital customers.
By embracing AI, radiology practices are not just adapting to changes in their field; they are actively shaping the future of healthcare through the integration of this cutting-edge technology.
Written by urgent.news from STAT News's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.
