Revolutionizing Healthcare: The Power of AI and SaMD in Perimetry
Ernest Cavin
VP International Sales | Driving Global Sales | Sales Strategy & Market Expansion | MedTech | Board Member
In the context of glaucoma, the use of AI, VR, and cloud computing is exemplified by companies such as PeriVision. Their technology is used to modernize perimetry, a resource-intensive eye test, and improve glaucoma management. By incorporating their algorithms into commercial VR headsets, they've been able to reduce test time and assess the reliability of measurements. The measurements are then relayed via cloud computing to their application, where doctors can access the data, improving workflow efficiency in practices and hospitals.
The market for Software as a Medical Device (SaMD) is expanding rapidly, driven by the rising adoption of digital health technologies and the advances in artificial intelligence (AI) and machine learning (ML) technologies. In 2020, the global SaMD market was valued at $9.4 billion and is predicted to grow at a compound annual growth rate (CAGR) of 18.8% between 2021 and 2028. In this digital health revolution, PeriVision stands out as a leading innovator, leveraging deep expertise in AI, virtual reality, and cloud computing to modernize perimetry, a crucial aspect of glaucoma management.
PeriVision's Cutting-Edge Technology
PeriVision is transforming glaucoma management by applying AI and ML in a unique way. The company incorporates its algorithms into commercial VR headsets, which patients use to perform eye tests. These AI algorithms not only reduce test time by up to 70%, but they also assess the reliability of the measurements.
The measurements are then relayed to PeriVision's application, where doctors can access the standard visual field outputs. This approach allows for quicker and more precise diagnoses, improving the overall quality of patient care. Importantly, the technology behind PeriVision's solutions is clinically tested and validated, with research and innovation spanning over seven years. It's been recognized with European and US patents and highlighted in peer-reviewed articles and presentations at world-renowned conferences.
SaMD and Perimetry
Perimetry is one of the most resource-intensive eye tests. Traditional machines are costly and require dedicated staff and rooms, creating bottlenecks in practices and hospitals. This is where SaMD steps in to revolutionize the process.
In the realm of perimetry, AI and SaMD stand as beacons of innovation, illuminating the path towards a future where healthcare is truly revolutionized.
PeriVision's SaMD solution improves workflow efficiency, helping healthcare providers care for more patients and increase revenue. The company's platform uses advanced AI algorithms to perform perimetry, transforming a typically resource-intensive process into a more streamlined and efficient one. In the future, PeriVision plans to integrate an entire suite of additional eye tests and AI algorithms into its platform, further enhancing its capabilities.
The Promise and Challenges of AI in SaMD
AI and ML are revolutionizing the healthcare industry, particularly in the realm of SaMD. These technologies process vast quantities of data, recognize patterns and trends, and make highly accurate predictions. SaMD powered by AI and ML can facilitate quicker and more precise diagnoses, more individualized treatments, and improved patient outcomes.
The integration of AI and SaMD in perimetry heralds a paradigm shift, empowering clinicians with advanced tools and insights to deliver personalized care with unprecedented precision.
However, AI and ML in SaMD also present challenges. Assuring the safety and efficacy of these devices is one of the greatest hurdles. To be effective in diagnosing and monitoring glaucoma, SaMD for glaucoma perimetry must be accurate, reliable, and consistent. They must also be designed to integrate seamlessly into the workflow of healthcare providers and be simple to use.
Regulatory agencies such as the Food and Drug Administration (FDA) of the United States have established guidelines for the development and approval of SaMD. Manufacturers of SaMD, like PeriVision, must demonstrate that their devices are safe, effective, and reliable in accordance with these guidelines.
Conclusion
The potential benefits of AI and ML in SaMD are enormous. By investing in SaMD powered by AI and ML, healthcare providers can provide quicker, more precise diagnoses and treatments, reduce the risk of misseddiagnoses, and enhance patient outcomes. PeriVision is at the forefront of this revolution, leveraging its advanced AI technology to transform glaucoma management and improve patient care.
Despite the challenges that AI and ML present, companies like PeriVision continue to drive innovation in SaMD, contributing to the rapid growth of this market. As the healthcare industry shifts towards digital health technologies, PeriVision's AI-powered SaMD solutions promise to deliver significant improvements in efficiency, precision, and patient outcomes.
By leading the charge in the digital health revolution, SaMD companies that invest in AI and ML, like PeriVision, are poised to make a significant impact on global healthcare. The future of healthcare is digital, and with the power of AI and SaMD, that future looks brighter than ever.
About PeriVision
PeriVision is a company that leverages deep expertise in AI, virtual reality, and cloud computing to modernize perimetry and improve glaucoma management for patients and doctors. They incorporate their algorithms into commercial VR headsets on which the patient performs the eye test. Their AI algorithms reduce test time by up to 70% and assess the reliability of the measurement. The measurements are relayed to their application where doctors can access the standard visual field outputs. PeriVision has 7+ years of research & innovation with leading clinicians and organizations in eye care. Their technology behind the solutions is clinically tested and validated.