DeepHealth, a subsidiary of US-based diagnostic imaging company RadNet, has partnered with Germany-based Siemens Healthineers and Canada-based CARPL.ai.
The UK-based company teamed up with Siemens Healthineers to create AI-powered SmartTechnology to enhance patient experience and operational efficiency in ultrasound.
The partnership combines Siemens Healthineers’ Acuson Sequoia ultrasound system, RadNet’s expertise in high-volume care, and DeepHealth’s SmartSonography solution.
It aims to transform DeepHealth’s ultrasound operations with AI-powered health technology for imaging workflows and hardware.
The two companies will jointly explore advanced ultrasound solutions that enhance the diagnostic process, reduce scan time, and enable better patient care.
Furthermore, Siemens Healthineers launched Biograph One PET/MR scanner, Naeotom Alpha.Pro and Luminos Q.namixplatforms, Acuson Sequoia 3.5 update, and expanded its 1.5 Tesla Magnetom Flow, at RSNA 2024.
Siemens Healthineers ultrasound global head Ajay Gannerkote said: “Ultrasound has long been plagued with challenges related to lack of standardisation and variability among users, and this is only compounded with the global workforce shortage.
“Siemens Healthineers focuses on practical AI, to make ultrasound smarter, faster, easier and more accessible. By collaborating with DeepHealth we can develop smarter ultrasound solutions that help improve productivity and access to high-quality imaging for more people.”
In a separate development, DeepHealth has announced a strategic collaboration with CARPL.ai to access, evaluate and integrate radiology AI solutions in their workflows.
Under the collaboration, DeepHealth will use CARPL.ai’s technology to develop an AI control system to monitor and optimise imaging AI performance for improved outcomes.
The two will jointly work on a new AI feedback system that will continually monitor the accuracy and relevance of the AI model in clinical settings.
The system will be designed to automate the measurement and monitoring of performance and safety metrics such as specificity, sensitivity, data- and model drift.
The partnership will also combine CARPL.ai’s AI marketplace and orchestration platform with DeepHealth’s cloud-native operating system, DeepHealth OS.
CARPL.ai’s platform provides a simplified process for selecting, implementing, and monitoring third-party FDA-cleared AI models.
DeepHealth OS consolidates data across the clinical and operational workflows.
CARPL.ai CEO Vidur Mahajan said: “We are very excited to partner with DeepHealth to harness the transformative potential of AI within the radiology care continuum, particularly through workflow automation and clinical assistance.
“This new AI infrastructure is set to fundamentally redefine radiology by making AI an integral component of the system.
“Monitoring AI performance is essential to ensure the reliability and accuracy of AI applications over time, and our technology enables real-time performance monitoring of both their accuracy and consistency for safe and effective use of AI in clinical practice.”
