GE Healthcare
4 documented AI deployments at GE Healthcare, across 1 industry. Each one links to the public source it was taken from.
Chicago, United States · Founded 2004 · gehealthcare.com · WikipediaSource: Wikidata, 2026-11-01
Public AI record
GE Healthcare has 4 documented public AI cases on the hub, too few for a score. Clinical documentation and patient engagement are common among peers but not yet documented at GE Healthcare.
A record score appears once GE Healthcare has 5 documented public cases. The peer comparison below already uses what is on record.
First documented case May 2023, latest Apr 2025. No new deployment documented since Apr 2025. Cloud providers named: AWS, Microsoft.
Compared with peers
Against 39 other healthcare companies on the hub.
What peers document
- Clinical documentation21 of 39 peers54%
- Patient engagement14 of 39 peers36%
- Healthcare workflow automation11 of 39 peers28%
- AI development platform8 of 39 peers · here too21%
Gaps against the industry
- Clinical documentation: 54% of peers, not documented at GE Healthcare yet
- Patient engagement: 36% of peers, not documented at GE Healthcare yet
- Healthcare workflow automation: 28% of peers, not documented at GE Healthcare yet
Signature use cases
No peer on the hub documents pricing optimization.
Stack and approach vs peers
- Peer cases name Microsoft 76%, AWS 16%, GCP 8%.
- AI agents: 0% of GE Healthcare's cases vs 45% for peers.
- Cases from the last 12 months: 0% vs 22% for peers.
Deployments
4 deployments at GE Healthcare, newest first.
- 30 Apr 2025HealthcareUnited States
GE Healthcare Utilizes Microsoft Azure to Revolutionize Radiology Storage
GE Healthcare · Cloud migration · Microsoft
GE Healthcare and Microsoft Azure collaborated to migrate healthcare imaging data to Azure Blob Storage. With significant planning, Azure Data Box was utilized for large-scale data transfers. The benefits achieved include reduced storage costs, faster mean time-to-repair, accelerated customer onboarding, and streamlined availability for radiological imaging.
- 25 Jul 2024HealthcareUnited States
GE Healthcare and AWS Collaborate on Generative AI for Healthcare Innovation
GE Healthcare · AI development platform · AWS
GE Healthcare and AWS have partnered to develop and deploy AI foundation models and generative AI applications to transform healthcare delivery. The collaboration aims to unlock vast amounts of unstructured healthcare data trapped in silos to improve patient care by enabling faster, more comprehensive data analysis, precision diagnostics, and personalized treatments. GE Healthcare's internal developers use Amazon Q Developer and Amazon Q Business to build AI-powered tools that aid diagnosis, clinical decision-making, and personalized care aggregation from multimodal clinical and operational data. AWS provides the secure, scalable cloud infrastructure with compliance to data privacy regulations such as HIPAA. The generative AI models could reduce clinical application development cycles and improve clinical workflow efficiencies significantly.
Production
- 25 Jul 2024HealthcareUnited States
GE Healthcare Collaborates with AWS to Build Generative AI for Medical Use
GE Healthcare · Coding assistants · AWS
GE Healthcare partnered with AWS to create generative AI models and applications specialized for healthcare use cases, including medical screenings, diagnostics, clinical decision support, and workflow automation. The collaboration leverages AWS infrastructure and the Amazon Q Developer tool, which provides real-time AI code suggestions to enhance internal developer productivity. The initiative aims to help hospitals and clinicians efficiently leverage complex and heterogeneous medical data, improving healthcare workflows and patient outcomes while ensuring no training on customer data.
- 2 May 2023HealthcareUnited States
GE Healthcare Launches Health Cloud on AWS to Improve Collaboration and Patient Outcomes
GE Healthcare · Pricing optimization · AWS
GE Healthcare developed the GE Health Cloud on AWS to improve collaboration and access to medical imaging data, enabling faster and more secure sharing among clinicians globally. The solution collects, stores, and processes medical imaging data from devices worldwide, enhancing interoperability and data accessibility across hospitals and health systems. AWS services used include Amazon SageMaker for machine learning and deep learning capabilities, Amazon Simple Storage Service (S3) for storage, Amazon Elastic Compute Cloud (EC2) for compute infrastructure, AWS Service Catalog for application deployment, and Amazon Cognito for user authentication and security.
What it builds
AI development platform is the most common pattern in these deployments: 1.
Cloud providers named
AWS is named in 3 of these deployments.
- AWS75% of these3
- Microsoft25% of these1