Johns Hopkins University BIOS Division is dedicated to improving clinical trials and medical image reviews through data science-driven approaches.To accelerate brain hemorrhage image analysis and improve treatment outcomes, the division used Google Cloud, including Cloud Healthcare API, Compute Engine, Cloud Dataflow, and Google Kubernetes Engine.They developed AI-driven models for brain scan analysis that reduce clinical trial brain scan review times from five hours to 30 seconds and improve diagnostic accuracy.The solution integrates DICOM medical imaging and automates machine learning training and inference pipelines for near real-time clinical trial capabilities.The implementation reduced research and infrastructure costs, accelerated insights generation, and democratized NIH study-quality core lab capabilities for more widespread healthcare impact.
The Missouri Department of Social Services used Google Cloud virtual agents to improve access to public assistance services and automate mandatory SNAP interview scheduling.The solution reduced long wait times and manual scheduling work across roughly 125 local resource centers, while allowing residents to reschedule or cancel appointments and ask common application questions.
USAA worked with Google Cloud to modernize auto insurance claims operations by turning vehicle-damage images and claim data into repair-or-replace predictions and repair labor-hour estimates.The solution combined machine-readable damage outputs from an existing vision service with structured claim and vehicle attributes to improve claims processing and create a smoother customer and appraiser experience.
Documents are a primary tool for communication, collaboration, record keeping, and transactions across industries, including financial, medical, legal, and real estate. The format of data can pose an extra challenge in data extraction, especially if the content is typed, handwritten, or embedded in a form or table.Amazon Textract added support for handwriting in English documents and expanded printed-text language support to Spanish, Portuguese, French, German, and Italian.Customers can upload documents with both printed text and handwriting directly in the Amazon Textract console or via AWS CLI and AWS SDKs. Amazon Augmented AI can be used to build human review workflows for sensitive workloads, and Textract integrates with services such as Amazon S3 and Amazon RDS for downstream analytics.