Radiology Practices Are Building Their Own AI Instead of Buying It
A growing number of radiology practices are developing artificial intelligence tools in-house rather than relying on outside vendors, marketing themselves as "AI-native" and blurring the line between technology development and medical practice.
A growing number of radiology practices are taking artificial intelligence into their own hands. Instead of purchasing AI tools from outside vendors, these practices are building and deploying AI systems internally, according to reports on the trend [249038].
The practices describe themselves as "AI-native," signaling a fundamental shift in how they approach technology. This strategy marks a departure from the traditional model where radiology groups would wait for external companies to supply software solutions [249038].
By developing AI tools in-house, these practices are changing how they compete with one another and how they deliver patient care. The approach blurs the traditional boundary between developing technology and practicing medicine [249038].
The move reflects a broader trend of organizations seeking more control over the AI tools they use. In other industries, workers are also pushing for a voice in how artificial intelligence is implemented. The machinists union, for example, is negotiating for input on AI deployment at work, aiming to protect jobs and ensure workers are not left behind [247245].
The full impact of the in-house AI approach on radiology remains to be seen as the technology continues to spread.