GE HealthCare partners with AWS to develop generative AI for medical diagnostics: GE HealthCare has signed a strategic collaboration with AWS to leverage cloud computing and generative AI to improve medical diagnostics and streamline clinical workflows.
AWS to be GE HealthCare’s preferred cloud provider: The partnership will see GE HealthCare use AWS’s cloud solutions as its preferred provider for developing specialized generative AI applications to enhance patient care.
- GE HealthCare plans to use Amazon’s Bedrock platform to develop AI applications based on multimodal clinical and operational data.
- The company’s developers will utilize AWS’ AI-powered software development assistant Q Developer for coding suggestions and assistance in application development.
Modernizing applications with AWS tools: GE HealthCare intends to modernize existing applications using foundation models developed through Amazon SageMaker, a model development platform.
- SageMaker will be used to develop models for web-based medical imaging applications.
- The company also plans to integrate AWS solutions like HealthLake and HealthImaging to enable customers to analyze various types of patient data.
Building on GE HealthCare’s AI investments: The collaboration with AWS builds on GE HealthCare’s ongoing investments in AI capabilities.
- GE HealthCare acquired Caption Health, an AI tech platform, in February 2023 and integrated its AI-powered image guidance into its digital ecosystem.
- The company has been leveraging deep learning to improve MRI scans, enabling faster diagnoses and reduced scan times.
Advancing personalized and efficient care: The partnership aims to ignite a new era in healthcare by combining generative AI with GE HealthCare’s expertise.
- GE HealthCare’s global chief science and technology officer, Taha Kass-Hout, emphasized the potential to make medical care simpler, more efficient, and deeply personalized.
- AWS CEO Matt Garman highlighted the opportunity for GE HealthCare to build transformative clinical foundation models and applications for the healthcare industry.
Broader Implications:
The collaboration between GE HealthCare and AWS signifies the growing adoption of generative AI and cloud computing in the healthcare industry. By combining AWS’ powerful cloud infrastructure and AI tools with GE HealthCare’s medical expertise, the partnership has the potential to revolutionize medical diagnostics and patient care. However, the success of this endeavor will depend on the effective integration of AI models into clinical workflows and the ability to ensure the accuracy, reliability, and ethical use of these technologies in healthcare settings.
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