December 3, 2024 – Siemens Healthineers creates a massive shift in the health care industry by adopting NVIDIA’s MONAI DEPLOY, a crucial part of a plugin framework known as MONAI. This partnership is designed to move AI research forward from its current state of exciting theory to immediate practice in tackling medical imaging issues.
MONAI stands for Medical Open Network for AI and it is basically an open source tool that has been developed for the purpose of helping the developers as well as data scientists for the building of the new AI models or for the further training of the existing AI models for the healthcare sector. With the help of MONAI Deploy, Siemens Healthineers has been made ready for extending the organization’s AI solutions into its worldwide enterprise imaging solutions like Syngo Carbon and syngo.via. These platforms are popular for the roles they play in the analysis of different medical images that are used in diagnosing and managing of several diseases by the healthcare professionals.
This partnership shows a good progress in the efforts to remove the barriers that have always been seen as norms in the integration of the AI systems in the medical industry. Historically, it has usually required quite some time to translate AI models from the lab to clinic. MONAI Deploy helps in this process as it can be integrated into the current clinical setting with ease. For Siemens Healthineers this would mean better management of its Artificial Intelligence based assets to enhance the radiologists or any other specialists’ working performance.
It also represents a possibility of increasing the efficiency of diagnosing a disease and the quality of the treatment offered to the patient. Ever since the adoption of the applications of AI in the medical imaging, clinicians are introduced to the powerful tools that assist in breaking down all features of the medical images comprehensively. Such data provided by AI can be useful in detecting abnormalities, assessing the efficacy of treatment methods, and improving the diagnosis. Moreover, the application of AI models at the workplace reduces the time spent on the manual analysis of images by healthcare providers, thus reducing the effects of the use of AI models.
In particular, interacting with MONAI Deploy is only one component of Siemens Healthineers’ long-term approach and commitment to advancing the healthcare sector using innovative solutions. Addressing healthcare concerns will be focused on the cooperation due to NVIDIA’s worldwide presence in the field of AI and computing. Owing to the market evolution for smart, efficient and accurate medical imaging through artificial intelligence, both companies have indicated their prowess in developing and extending meaningful solutions.
It illustrates the presence of open source frameworks in the advancement of health care solutions. MONAI is an example of a new AI library that has been developed by NVIDIA and King’s College London and others and is already gaining popularity due to its flexibility and compatibility with other machine learning frameworks. The deployment structure of this discipline is highly compatible with the merge between theory and practice, which helps in the implementation of AI practices into companies like Siemens Healthineers.
The potential of this partnership is expected to extend far and wide across the entire healthcare system. With more health institutions embracing artificial intelligent solutions, the chances of giving patients a better care, more efficient services, and better diagnostics increase exponentially. Siemens Healthineers and NVIDIA have established the standard of collaboration in the healthcare industry, demonstrating how technology can be used to meet specific clinical challenges.
Through the inclusion of MONAI Deploy into their platforms, Siemens Healthineers has demonstrated its commitment to medical imaging AI advancements. This partnership with NVIDIA not only fosters the advancement of applying AI into healthcare sectors but also offers an illustration of the capability of the open-source framework with practical industry experience.
Source: https://blogs.nvidia.com/blog/rsna-siemens-healthineers-monai-medical-imaging-ai/
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