RIS PACS software cannot do AI
Picture Archiving and Communication Systems (PACS) was a technology that guided in greater advantage and enhanced results in the medical imaging field. Its a new innovative field which helped us to move from physical old film to new software. RIS PACS software helped us in reducing the medical storage cost to great extent. However, every technology becomes outdated with time and advancement in new technology. PACS is not any exception and it become outdated software with time.
Even though RIS PACS software are designed to perform without any failure in critical conditions without any disruption but sometimes RIS PACS fails at times. The medical imaging is a time critical application which cannot fail at any cost. The performance requirement of the new technology advancement in the medical imaging field advanced technology to perform accurate latency free diagnostic software.
In United States alone 50% incidence of misdiagnosis related to medical imaging has per reported as per a survey of McKinsey, the Mayo Clinic, and The Journal of Clinical Oncology. About $27 billion US dollars are spent in the imaging in US is wasted in unnecessary radiation to patients.
The reason for costly healthcare in United States is because the technology used in medical imaging is very costly. The old RIS PACS technology used in US drives heavy cost by a great deal and robs you of funds which could be utilized elsewhere. In hospitals and imaging centers, huge costs are spent on IT infrastructure includes a dedicated server room, temperature-controlled, updation, electricity costs, 24X7 Server maintenance, civil work etc.
One of the main concern is the lack of an efficient approach to 3D visualization. A significant amount of bandwidth and time is required by technicians and physicians to move large and complex medical images over the internet. These complex medical images requires high bandwidth and the practice of image compression may slow down the entire process of image transfer.
Imaging data losses could be persistent and overwhelming. Important diagnostic information is lost in the process of image compression specially when we are dealing with high volumes of medical records. RIS PACS software is slow and unclear because mover these large medical files over the internet while maintaining diagnostic quality is a high bandwidth is impossible.
RIS PACS software is unclear because the storage, database and web-servers lack computing power for AI or intuitive adaptive visualizations. LifeVoxel.AI has a innovative cloud platform that addresses the flaws of current cloud leaders in the market, as their cloud solutions are honestly not suited for medical imaging data. Limitations of bandwidth, latency and scalability are addressed in tune with the demands of the domain.
LifeVoxel.AI's interactive streaming and AI platform for medical imaging using GPU cluster along with cloud computing have created a ground breaking record. It shows that Artificial Intelligence (AI) can be powered in medical imaging. Advanced 2D and 3D diagnostic visualization of computer-aided detection of medical images using genetic algorithm or convolution neural networks (CNN) which are being employed to get you the best results. These solutions dramatically reduce the incidence of human error.
LifeVoxel.AI is an upcoming global leader in the field of medical imaging. It’s 12 international patents related to visualization and partial funding for Research & Development from the National Science Foundation (NSF) are evidence for the effectiveness of its solutions. With regard to the incompetence of RIS PACS software in the present era, LifeVoxel.AI’s solution is the perfect remedy.
LifeVoxel.AI has created augment capabilities in visualization, with the help of powerful sequence of Artificial Intelligence and Graphical Processing Units (GPUs) with the cloud. This unique solution offered by LifeVoxel.AI helps diagnostic imaging centers and hospitals to cut cost exceptionally while providing a storage solution par excellence. Intelligent intuitive adaptive visualizations are streamed only on demand, allowing large medical images to reside and accessed over the cloud. Transmitting the entire medical scan at once to the user may result in important diagnostic information is lost, as medical imaging exams are very data intensive. This unique intuitive adaptive visualization along with AI helps in reducing the human error and misdiagnosis.
Predictive Buffering is integrated to give the best results to all stakeholders. Successfully predicting frames leads to zero-latency as there are no round trip to server to use predicted frames. Transfer of data over LifeVoxel.AI’s cloud is efficient and hassle-free. LifeVoxel.AI provide about 50%+ savings in cost and 100X faster responses with top-notch GPU technology, a system that appears inconvenient and plagued by related issues simply has to go. RIS PACS software has served us well, but fresh challenges just require better technology.
Imaging data losses could be persistent and overwhelming. Important diagnostic information is lost in the process of image compression specially when we are dealing with high volumes of medical records. RIS PACS software is slow and unclear because mover these large medical files over the internet while maintaining diagnostic quality is a high bandwidth is impossible.
RIS PACS software is unclear because the storage, database and web-servers lack computing power for AI or intuitive adaptive visualizations. LifeVoxel.AI has a innovative cloud platform that addresses the flaws of current cloud leaders in the market, as their cloud solutions are honestly not suited for medical imaging data. Limitations of bandwidth, latency and scalability are addressed in tune with the demands of the domain.
LifeVoxel.AI's interactive streaming and AI platform for medical imaging using GPU cluster along with cloud computing have created a ground breaking record. It shows that Artificial Intelligence (AI) can be powered in medical imaging. Advanced 2D and 3D diagnostic visualization of computer-aided detection of medical images using genetic algorithm or convolution neural networks (CNN) which are being employed to get you the best results. These solutions dramatically reduce the incidence of human error.
LifeVoxel.AI is an upcoming global leader in the field of medical imaging. It’s 12 international patents related to visualization and partial funding for Research & Development from the National Science Foundation (NSF) are evidence for the effectiveness of its solutions. With regard to the incompetence of RIS PACS software in the present era, LifeVoxel.AI’s solution is the perfect remedy.
LifeVoxel.AI has created augment capabilities in visualization, with the help of powerful sequence of Artificial Intelligence and Graphical Processing Units (GPUs) with the cloud. This unique solution offered by LifeVoxel.AI helps diagnostic imaging centers and hospitals to cut cost exceptionally while providing a storage solution par excellence. Intelligent intuitive adaptive visualizations are streamed only on demand, allowing large medical images to reside and accessed over the cloud. Transmitting the entire medical scan at once to the user may result in important diagnostic information is lost, as medical imaging exams are very data intensive. This unique intuitive adaptive visualization along with AI helps in reducing the human error and misdiagnosis.
Predictive Buffering is integrated to give the best results to all stakeholders. Successfully predicting frames leads to zero-latency as there are no round trip to server to use predicted frames. Transfer of data over LifeVoxel.AI’s cloud is efficient and hassle-free. LifeVoxel.AI provide about 50%+ savings in cost and 100X faster responses with top-notch GPU technology, a system that appears inconvenient and plagued by related issues simply has to go. RIS PACS software has served us well, but fresh challenges just require better technology.
