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Use of RadNet’s wholly owned subsidiary, DeepHealth

  • DeepHealth and CARPL.ai have entered into a strategic collaboration to create a unique artificial intelligence (AI) control system for image interpretation to ensure AI Scalability, performance monitoring and security to accelerate AI adoption.
  • DeepHealth is currently monitoring the performance of DeepHealth’s SmartMammo™ AI-powered breast cancer detection solution at RadNet. By working together, the two companies want to expand, produce and scale this control system for further applications with other customers.
  • Additionally, DeepHealth will embed CARPL.ai’s cutting-edge AI orchestration capabilities activate simply SelectionImplementation and monitoring of appropriate AI models within DeepHealth’s cloud-native operating system DeepHealth OS.

LOS ANGELES and SOMERVILLE, Mass., Dec. 1, 2024 (GLOBE NEWSWIRE) — DeepHealth, Inc., a global leader in AI-powered health informatics and a wholly owned subsidiary of RadNet, Inc. (NASDAQ: RDNT), today announced a strategic collaboration CARPL.ai, a leading AI orchestration company that enables radiologists to access, evaluate and incorporate radiology AI solutions into their workflows to integrate. DeepHealth will leverage CARPL.ai’s technology to develop an AI control system that can be commercialized and is designed to monitor and optimize imaging AI performance to improve clinical outcomes, operational efficiency, and accelerate AI adoption in radiology. AI monitoring is crucial to ensure reliable, accurate and unbiased performance.

The two companies will collaborate on a new closed-loop AI feedback system that continuously monitors the accuracy and relevance of AI models in clinical settings. The system automates the measurement and monitoring of performance and safety metrics such as specificity, sensitivity, data and model drift.

Building a robust AI infrastructure with monitoring tools is key to safe, effective and scalable AI adoption in radiology. While the current landscape is characterized by an overwhelming variety of AI-powered point solutions, the future will require running multiple AI models, even for a single use case. DeepHealth’s partnership with CARPL.ai addresses this exact need by creating a unique environment to dynamically run a combination of models, monitor performance, and then continuously optimize the best models for specific taskssaid Sham Sokka, PhD, Chief Operating and Technology Officer, DeepHealth.

The partnership will also combine CARPL.ai’s AI marketplace and orchestration platform, which provides a simplified process for selecting, implementing and monitoring FDA-approved third-party AI models, with the cloud-native operating system DeepHealth OS, which unifies data the clinical and operational workflows. These platforms are integrated and expanded to continuously monitor real-world workflows. The goal is to give radiologists access to powerful and secure AI interpretation tools that are deeply integrated into their workflows.

We are very excited about the partnership with DeepHealth Harness the transformative potential of AI across the radiology care continuum, particularly through workflow automation and clinical support. This new AI infrastructure will fundamentally redefine radiology by making AI an integral part of the system“said Dr. Vidur Mahajan, CEO of CARPL.ai. “Monitoring AI performance is essential to ensuring the reliability and accuracy of AI applications over time. Our technology enables real-time performance monitoring of both its accuracy and consistency for safe and effective use of AI in clinical practice.

For more information, visit the DeepHealth (#1340) and CARPL.ai (#5733) booths at the 2024 Radiological Society of North America Annual Meeting.

About RadNet, Inc.

RadNet, Inc. is the leading national provider of freestanding, inpatient diagnostic imaging services in the United States by number of locations and annual imaging revenue. RadNet has a network of 399 owned and/or operated outpatient imaging centers. RadNet’s markets include Arizona, California, Delaware, Florida, Maryland, New Jersey, New York and Texas. In addition, RadNet provides customers in the diagnostic imaging industry with radiology information technology and artificial intelligence solutions marketed under the DeepHealth brand, as well as professional teleradiology services and other related products and services. Combined with affiliated radiologists, full-time and daytime employees and technologists, RadNet employs over 10,000 people. For more information, visit http://www.radnet.com.

About DeepHealth

DeepHealth is a wholly owned subsidiary of RadNet, Inc. (NASDAQ: RDNT) and serves as an umbrella brand for all companies in RadNet’s Digital Health segment. DeepHealth provides AI-powered health informatics with the goal of enabling breakthroughs in care through imaging. Building on the strengths of the companies it has integrated and renamed (e.g. eRAD Radiology Information and Image Management Systems and Picture Archiving and Communication System, Aidence Lung AI, DeepHealth and Kheiron Breast AI, and Quantib Prostate and Brain AI). DeepHealth advances technologies AI for operational efficiency and improved clinical outcomes in lung, breast, prostate and brain health. At the heart of DeepHealth’s portfolio is a cloud-native operating system – DeepHealth OS – that unifies data across clinical and operational workflows and personalizes AI-powered workspaces for everyone across the radiology continuum. Thousands of radiologists in hundreds of imaging centers and radiology departments around the world use DeepHealth solutions to enable earlier, more reliable and efficient disease detection, including in large-scale cancer screening programs. DeepHealth’s human-centered, intuitive technology aims to push the boundaries of what is possible in healthcare. https://deephealth.com/

About CARPL.ai

CARPL.ai is a vendor-neutral artificial intelligence (AI) platform that enables radiologists to access, evaluate, and integrate radiology AI solutions into their clinical practice.
CARPL provides a single user interface, single data channel and single procurement channel for testing, deploying and monitoring AI solutions in clinical radiology workflows.
We are the world’s largest AI marketplace for radiology, offering more than 140 applications from more than 60 AI providers.
For more information, visit https://carpl.ai/.

Forward-Looking Statement

This press release contains “forward-looking statements” within the meaning of the safe harbor provisions of the U.S. Private Securities Litigation Reform Act of 1995. Forward-looking statements, including statements regarding RadNet’s, CARPL.ai’s and DeepHealth’s informatics capabilities, hardware and software product portfolios and the impact of Collaboration on Radiology Practices and Healthcare Workflows reflect our current beliefs, expectations and assumptions regarding the future of our business, future plans and strategies, forecasts and the anticipated future Conditions, events and trends. Forward-looking statements are generally identified by words such as “anticipate,” “intend,” “plan,” “goal,” “seek,” “believe,” “project,” “estimate,” “expect,” “anticipate.” “Strategy,” “future,” “likely,” “could,” “should,” “will,” and similar references to future periods.

Forward-looking statements are neither historical facts nor assurances of future performance. Because forward-looking statements relate to the future, they are inherently subject to uncertainties, risks and changes in circumstances that are difficult to predict, many of which are beyond our control. Our actual results and financial condition may differ materially from those expressed in the forward-looking statements. Therefore, you should not place undue reliance on these forward-looking statements.

For media inquiries please contact:

DeepHealth
Andra Axente
Communications Director
Telephone: +31 614 440971
Email: [email protected]

RadNet, Inc.
Mark Stolper
Executive Vice President and Chief Financial Officer
310-445-2800

CARPL.ai
Shruti Singhal
Director – Marketing
+919811189074

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