Generative AI in Healthcare & Life Sciences

Learn how clinicians at the University of California San Diego Health use generative AI to align comorbidities with other patient demographics to help improve outcomes.

Explore the essential role of a comprehensive data strategy that uses the AWS Health for Data portfolio to build integrated data strategies to make better, faster decisions with the power of machine learning and generative AI.

Explore how Johnson & Johnson is building enterprise-wide data strategies and data systems to break down internal data silos and fuel its data and generative AI initiatives to help data scientists, clinicians, researchers, developers, and analysts find answers and generate insights faster and incorporate data into their everyday business processes.

Amazon Bedrock powers SmartReports to offer 1/ a significant reduction in words spoken or typed during report creation through automatic impression suggestion, and 2/ enhanced research and organizational efficiency with structured, machine-readable findings, resulting in higher data quality for clinical decision-making and improved report accuracy and detail.

HOPPR announces the launch of Grace, a multi-modal foundation model for medical imaging, powered by AWS and available via private beta to developers, radiology PACS, and AI companies for fine tuning and application development.

Leading radiology practice addresses fragmented AI adoption, makes unified platform for rapid deployment of AI medical imaging tools available to hospitals and health systems on AWS.

Amazon S3 Express One Zone is a new storage class purpose-built to deliver the highest performance and lowest latency object storage for customers’ most frequently accessed data.

Merck selected AWS as its preferred cloud services provider and Accenture as its professional services partner to transition core applications like SAP, machine learning (ML), and data warehouses to AWS—enabling Merck to help accelerate scientific research and discovery.

Virgin Pulse is leveraging AWS's cloud capabilities, including generative artificial intelligence (generative AI), machine learning, and analytics, to deliver an innovative roadmap and enable advanced personalization across its Homebase for Health® platform. 

CrowdStrike is working with AWS to develop powerful new generative AI applications that help customers accelerate their cloud, security and artificial intelligence (AI) journeys. These include both cybersecurity-related generative AI applications, as well as cloud-plus-cloud security solutions designed to help customers build and secure their own generative AI applications.

3M will use AWS Machine Learning (ML) and generative AI services, including Amazon Bedrock, Amazon Comprehend Medical and Amazon Transcribe Medical, to help expedite, refine and scale the delivery of 3M's ambient clinical documentation and virtual assistant solutions.

Market-leading Philips PACS is now available on AWS for industry-leading availability, reliability, security, and AI-supported workflow enhancements. Expansion of the collaboration with AWS will support the development and deployment of generative AI applications that further support efficient clinical workflows and enhance diagnostic capabilities.

This post explores how Retrieval-Augmented Generation (RAG), combined with Amazon Kendra, can incorporate external knowledge to augment initial trainings on massive datasets to provide refined responses to natural language queries.

Pieces Technologies announced it has fully incorporated the latest generative artificial intelligence services from AWS into its healthcare solutions supporting providers at the point of care. Pieces is producing "Sculpted AI"—AI technology tailored to health systems' specifications through a highly iterative, granular process down to the unit, clinical specialty, or physician level—using Amazon Bedrock, Amazon EC2, and Amazon SageMaker Canvas.