Evidium Selects Oracle Cloud Infrastructure to Power its Referenced Healthcare AI Platform
Rhea-AI Summary
Evidium, a healthcare AI startup, has chosen Oracle Cloud Infrastructure (OCI) to power its AI platform. The company is using OCI's AI infrastructure to train and develop numerous AI models, leveraging its neurosymbolic AI approach to tackle healthcare industry challenges. Evidium's platform combines deep learning, generative AI, and symbolic AI to transform unstructured medical data into actionable insights.
By switching from on-premises servers to OCI, Evidium reports improved performance, reduced training times, increased model scale, and faster data processing. The platform is used by health systems to provide high-quality, cost-effective care and by health plans to improve patient outcome predictions and personalized guidance.
Positive
- Evidium reports improved performance and reduced training times after switching to OCI
- OCI's AI infrastructure enables Evidium to increase the scale of its models
- Evidium's platform helps health systems provide high-quality and cost-effective care
- The AI platform assists health plans in improving predictions about patient outcomes
Negative
- None.
Insights
Evidium's adoption of Oracle Cloud Infrastructure (OCI) for its healthcare AI platform marks a significant technological advancement in the medical sector. The shift from on-premises servers to OCI's AI infrastructure has yielded substantial performance improvements, including faster training times and increased model scalability.
The platform's neurosymbolic AI approach is particularly noteworthy, as it combines deep learning and generative AI with ontology and knowledge graphs. This hybrid method addresses critical issues in healthcare AI, such as transparency and structured data management, which are essential for building trust in AI-driven healthcare solutions.
OCI's purpose-built AI capabilities and dedicated engineering support provide Evidium with a competitive edge in the rapidly evolving healthcare AI market. This partnership could accelerate the development of more sophisticated and reliable AI models for healthcare applications, potentially leading to improved patient outcomes and more efficient healthcare systems.
Evidium's AI platform, powered by OCI, represents a significant step forward in healthcare informatics. By transforming unstructured data from clinical charts, medical guidelines and research papers into actionable structured data, the platform addresses a critical challenge in medical research and practice.
The ability to process vast amounts of clinical, research and insurance data while incorporating the latest scientific evidence could lead to more informed decision-making in patient care. This has potential implications for improving diagnosis accuracy, treatment planning and personalized medicine.
Moreover, the platform's use by health systems to provide high-quality, cost-effective care and by health plans to improve patient outcome predictions suggests a broad applicability across the healthcare ecosystem. This could lead to more efficient resource allocation and potentially better health outcomes at a population level.
OCI AI infrastructure provides the performance and scalability Evidium needs for its AI healthcare platform to help improve quality of care
Managing vast amounts of clinical, research, and insurance data while making use of the latest clinical and scientific evidence presents significant challenges for the healthcare industry. Although AI has great potential to address these challenges, the lack of transparency and absence of structured data creates barriers. Evidium has tackled these issues with its neurosymbolic AI approach, enabling customers to combine the strengths of deep learning and generative AI with the reasoning, control, and transparency provided by ontology, knowledge graphs, and symbolic AI. For example, Evidium's AI platform is used by health systems to help provide high-quality and cost-effective care. It also helps health plans to improve predictions about patient outcomes and offer more personalized guidance to its members.
"OCI enables Evidium to achieve the performance required to train and develop our models," said Carl Bate, founder and CEO, Evidium. "As we continue to grow, the scalability and cluster networking provided by OCI allows us to make our neurosymbolic AI technology accessible to healthcare organizations worldwide."
Evidium's neurosymbolic AI platform combines multiple generative and neural models trained on OCI's AI infrastructure. These models are designed to transform vast amounts of unstructured data from clinical charts, medical guidelines, and research papers into actionable structured data that enables powerful algorithms. By switching from an on-premises server cluster to OCI's AI infrastructure, Evidium reports that it has achieved better performance, reduced training times, increased the scale of its models, and accelerated data processing.
"Healthcare organizations face significant challenges in managing complex medical data, often resulting in inefficiencies in decision-making," said Mahesh Thiagarajan, executive vice president, Oracle Cloud Infrastructure. "With OCI AI infrastructure, Evidium has been able to speed up its processing cycles to refine its platform and leverage OCI's full-stack protection that is secure by design to build its safety-first healthcare AI platform."
Evidium reports that it, like many other AI startups and enterprises, is building and training models faster and more reliably with OCI's purpose-built AI capabilities. OCI Compute virtual machines and bare metal GPU instances can power applications including natural language processing, computer vision, and recommendation systems. Oracle's dedicated engineering support team works with customers from planning to launch to help them achieve success.
Additional Resources
- Read more about Evidium's AI healthcare platform
- Learn more about accelerating GPU workloads
- Learn more about the OCI AI ISV Ecosystem
- Learn more about OCI AI Services
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SOURCE Oracle