RadNet (RDNT) subsidiary DeepHealth said Sunday it has launched a collaboration with CARPL.ai to develop an artificial intelligence control system to monitor and optimize imaging performance and improve clinical outcomes and operational efficiency in radiology.
The companies aim to create a new closed-loop feedback system that will monitor AI model accuracy and relevance.
"The future involves running multiple AI models, even for a single use case," said Sham Sokka, chief operating and technology officer at DeepHealth.
As part of the partnership, the companies will combine CARPL.ai's AI marketplace and orchestration platform with DeepHealth's cloud-native operating system to give radiologists access to AI interpretation tools.
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