On December 1st, Siemens Healthineers and DeepHealth officially announced a major strategic partnership, with the latter partnering with Siemens Healthineers to implement SmartTechnology by embedding AI driven health informatics into workflows and imaging hardware ™， Bringing innovative changes to the field of ultrasound operations.

Data shows that DeepHealth is a wholly-owned subsidiary of RadNet, a global leader in AI driven health informatics, dedicated to providing AI driven health informatics to achieve breakthroughs in the nursing field through imaging. RadNet is also the largest third-party independent medical imaging company in the United States.

01. DeepHealth collaborates with Siemens Healthineers
At present, the high-capacity ultrasound nursing environment is facing severe challenges such as labor shortage, operator limitations and fatigue, and unstable image acquisition quality. These problems may not only delay accurate diagnosis, but also lead to unnecessary examination processes.

In response to this situation, the remote collaboration and image acquisition command center jointly built by DeepHealth and Siemens Healthineers will allow experienced technicians to remotely monitor image acquisition work in multiple locations. At the same time, the upgraded enterprise viewer function enables radiologists to combine standard ultrasound static images with examination video recordings for more comprehensive disease assessment, which is expected to significantly improve diagnostic accuracy, reduce unnecessary repeated scans, thereby improving patients' chances of obtaining high-quality medical services and reducing patient recall rates.

Ajay Gannerkote, Global Head of Siemens Healthineers Ultrasound Business, said, "The ultrasound field has long been plagued by insufficient standardization of user operations and individual differences, and the global labor shortage has exacerbated these challenges. Siemens Healthineers focuses on practical artificial intelligence, aiming to make ultrasound technology smarter, more efficient, convenient, and more accessible. The cooperation with DeepHealth will help develop smarter ultrasound solutions, improve productivity, and enable more patients to benefit from high-quality imaging services

Kees Wesdorp, President and CEO of RadNet's Digital Health Division, also stated, "We are looking forward to this collaboration with Siemens Healthineers and hope to leverage SmartTechnology ™ Reshaping the pattern of ultrasound diagnosis. Combining the advantages of both parties, we are committed to improving operational efficiency and empowering medical professionals to provide more accurate and timely patient care services. This fully demonstrates our firm determination to use advanced technology to promote breakthroughs in medical care
It is understood that the SmartSonography launched in this collaboration ™ The solution includes two major highlights: firstly, a remote acquisition platform that can achieve real-time scanning, assistance, training, monitoring, and protocol standardization of imaging equipment groups through a single interface, effectively promoting seamless collaboration, rational resource allocation, efficient patient management, and enhancing clinical confidence in complex medical environments; The second is a cloud native enterprise viewer that supports access anytime and anywhere, integrating image archiving and communication system (PACS) functions with cloud native technology to achieve fast image streaming and seamless data access, aiming to improve diagnostic accuracy and consistency.

02. DeepHealth also announced a partnership with GE Healthcare this month
It is worth mentioning that on November 11th, DeepHealth also announced a strategic partnership with GE Healthcare to promote the application of artificial intelligence in the imaging field.

The two companies hope to develop intelligent technology solutions that utilize artificial intelligence to address key challenges throughout the entire imaging value chain, including improving the efficiency of imaging interpretation and reporting, enabling collaboration between nursing teams, improving clinical interpretation of images, and enhancing operational efficiency and productivity.

GE Healthcare stated that this collaboration utilizes its own imaging expertise and scale. RadNet has extensive experience in nursing services, while DeepHealth provides AI driven health informatics. They hope to enhance patient care by improving end-to-end clinical and operational workflows.

It is reported that in this cooperation, DeepHealth's AI based SmartMammo workflow and GE HealthCare's patient-centered Senographe Pristina mammography system will provide AI driven clinical imaging support for breast cancer screening. Through cooperation, the solution can support a large number of breast cancer screening projects.

In addition, the two companies are also seeking to incorporate SeepHealth workflow Smart Alerts into the Senographe Pristina platform. The platform utilizes fast artificial intelligence processing capabilities to issue case alerts of suspected lesions to the imaging center within minutes.

Roland Rott, president and CEO of GE Medical Imaging Business, said, "This new cooperation with DeepHealth has fully utilized the comprehensive advantages of both sides to meet the key challenges in today's healthcare field. We hope to achieve more personalized and patient centered breast care, and AI continues to show great potential in the field of breast cancer screening, including early detection and risk prediction, as well as reducing return visits and improving the efficiency of the workflow of breast imaging providers. We are glad to be able to combine the power of imaging and AI to provide personalized breast care for patients facing this difficult diagnosis."

03. DeepHealth serving hundreds of imaging centers
Public information shows that DeepHealth is a wholly-owned subsidiary of RadNet and serves as the overall brand for all companies under RadNet's digital health division. DeepHealth provides AI driven health informatics aimed at achieving breakthroughs in the nursing field through imaging.
DeepHealth leverages the advantages of its integrated and rebranding companies, namely eRAD Radiology Information and Image Management System, Image Archiving and Communication System, Aidence lung AI, DeepHealth and Kheiron Breast AI, and Quantib Prostate and Brain AI, to improve operational efficiency and enhance lung, breast, prostate, and brain health through advanced AI.

The core of the DeepHealth product portfolio is the cloud native operating system DeepHealth OS, which unifies data in clinical and operational workflows and provides personalized AI driven workspaces for everyone in the radiology continuum. Currently, thousands of radiologists from hundreds of imaging centers and radiology departments worldwide are using DeepHealth solutions to achieve earlier, more reliable, and efficient disease detection, including in large-scale cancer screening programs.

It should be pointed out that RadNet, the parent company of DeepHealth, is the largest third-party independent medical imaging company in the United States, with over 40 years of operational history since its establishment in 1980. In April of this year, RadNet announced that it had completed a debt refinancing transaction with a total amount exceeding $1 billion (equivalent to over RMB 7.2 billion).

The so-called third-party medical imaging center, also known as an independent medical imaging diagnosis center, refers to a medical institution established independently of the hospital's medical imaging diagnosis department, which applies modern medical imaging technologies such as X-rays, CT, magnetic resonance imaging, ultrasound, etc. to examine the human body, and combines medical history, clinical symptoms, signs, and other auxiliary examinations, comprehensive analysis, and provides imaging diagnosis opinions.

In the United States, third-party medical imaging centers have become mature medical diagnostic institutions and a highly anticipated field, currently undergoing accelerated expansion. According to statistics, there are over 6800 independent imaging centers in the United States, with an estimated $100 billion imaging market, of which 40% of the market contribution comes from third-party independent imaging centers.

RadNet, as the largest third-party independent medical imaging company in the United States, completes over 7 million imaging operations annually. Previously, the company gained attention for its entry into the Houston market and quickly acquired 13 locations in the fourth largest city in the United States, expanding its outpatient imaging centers to 377.

04. Medical equipment welcomes digital development
With the continuous advancement of technology, the medical field is undergoing a revolutionary change. Digitization and technological innovation are increasingly penetrating into the medical system. The collaborative innovation of medical technology, especially the digitization of the medical system, is bringing unprecedented opportunities and changes to patients, doctors, and the entire medical industry.

Currently, cooperation between medical equipment companies and AI technology companies is becoming an important trend in innovation in the medical field. This collaborative model combines the technological advantages of medical equipment with the data-driven capabilities of AI technology, aiming to improve the efficiency, accuracy, and accessibility of medical services.

Currently, numerous medical equipment companies represented by GPS are laying out AI digital healthcare. At the just concluded CIIE, several companies also presented exhibits on "Medical Equipment+AI Technology":

This includes the Boston Scientific next-generation intravascular ultrasound system AVVIGO+MAH, which integrates imaging and functionality, has AI assisted vascular assessment capabilities, shortens surgical time, and improves patient prognosis;

Elekta Evo, an intelligent adaptive integrated radiotherapy platform from Yikeda, uses high-definition AI enhanced imaging technology to provide high-resolution real images, helping clinical doctors deeply understand lesions and fully meet clinical daily treatment and special needs;

Philips Medical's global intelligent magnetic resonance Elition AI+achieves 0-second preparation, 1-key scanning, 2-second per session, and 3x acceleration, greatly improving hospital work efficiency and patient examination experience. It is expected to save 32% of patient positioning time, 50% of scanning time, 100% success rate of abdominal enhancement, and 3x patient circulation.

Source: http://qixieke.com/Font/index/detailPage.html?id=3274-19