Philips
Philips has 7 source-linked AI deployments documented in AIUseCaseHub, across 1 industry and 2 countries. Key partners include icometrix.
Hyperscaler mix
See whether Philips's cases are powered by Microsoft, AWS, GCP, or multiple providers.
How Philips builds AI
Build / Buy / Compose across this company's documented cases
2 of 7 cases classified (29%) · Compare all use-case types
Reported outcomes
2 cases report measurable results
−80%
Time & speed
median · 5 metrics
Medians of results published in Philips cases, normalized for comparability. See all benchmarks →
Evidence persistence
4 of 4 judgeable cases are still publicly referenced · 4 show the organization expanding AI use.
Durability of public evidence, not whether systems remain in production. How this is measured →
Technology snapshot
What Philips uses across visible cases
Capability flags and technologies mentioned in the indexed use cases on this page.
- Top use case
- Vision
- Tagged cases
- 5/7
- Tech names
- 21
All Use Cases (7)
Philips Accelerates AI-Driven Healthcare Innovation with AWS
Philips, a healthcare technology company headquartered in the Netherlands, partnered with AWS to accelerate AI model training, improve healthcare solutions innovation, and maintain compliance and security.They utilize Amazon SageMaker ToolSuite, AWS Skill Builder, AWS IoT, and Amazon EKS to develop AI-driven healthcare applications, medical imaging acceleration, and system integration.
Philips on AWS: Accelerating AI Innovation for Healthcare
Philips uses AWS to accelerate AI solution development and reduce model training time, delivering faster innovation and improved patient outcomes.Collaborated with AWS to upskill over 5,000 employees through AWS Skill Builder for AI capabilities.Leveraged Amazon SageMaker AI ToolSuite to speed up ML development from weeks to days and integrated AI across healthcare workflows.Implemented data privacy automation and portable medical imaging solutions on AWS cloud, significantly improving operational efficiency and reducing MRI scan time.Deployed medical image analysis with AWS IoT and EKS enabling real-time processing and cost reductions.
AWS Healthcare & Life Sciences Generative AI Use Cases and Customer Implementations
AWS supports healthcare and life sciences organizations in deploying generative AI to accelerate drug discovery, improve clinical trial development, enhance medical imaging and pathology analysis, automate clinical documentation, and streamline regulatory compliance.Customers such as Pfizer, Natera, Clario, Aetion, Sanofi, Philips, Hippocratic AI, Solventum, Amazon Pharmacy, and Radboud University Medical Center use AWS technologies to enhance research, care delivery, and compliance workflows.AWS technologies employed include Amazon Bedrock, Amazon SageMaker, AWS HealthScribe, Amazon Textract, and Amazon Comprehend.Applications include rapid drug candidate screening, protocol generation, synthetic defect image generation, compliant content creation, real-world evidence analysis, sales team compliance improvement, clinician task automation, call center productivity, prior authorization automation, and compliance reporting.
Microsoft
Philips enhances neurological diagnosis and monitoring for Alzheimer’s and MS patients
Philips, leveraging a partnership with icometrix, has integrated AI-driven imaging and reporting solutions into its latest BlueSeal MR scanners and healthcare informatics platform ...
Philips revolutionizes healthcare workflow with generative AI from Microsoft
Philips has implemented generative AI technologies from Microsoft Azure to streamline healthcare workflows. The innovation focuses on leveraging AI for conversational reporting, en...
Philips accelerates AI-enabled healthcare solutions development with AI ToolSuite on Amazon SageMaker
Philips developed AI ToolSuite on Amazon SageMaker as a scalable, secure, and compliant MLOps platform to accelerate AI/ML workflows across diagnostic imaging, patient monitoring, and personal health.The platform integrates experiment tracking, data annotation, model training, deployment, reusable templates, role-based access control, and guardrails for security and compliance.AI ToolSuite enables collaborative AI development and improved model reproducibility, governance, and scalability across Philips teams.
MicrosoftPhilips revolutionized radiology workflows and processes
Philips and Microsoft have partnered to enhance radiology processes by integrating Microsoft's data aggregation platform, Amalga, with Philips' iSite PACS imaging solution. This co...