AWS for Industries
Tag: medical imaging
Invicro Improves Medical Image Quality Prediction with SageMaker HPO Jobs
Blog guest authored by Brian Avants, and Jacob Hesterman of Invicro, a REALM IDx company High-quality medical imaging data is a clinical necessity. Yet, there are few medical datasets with quality annotations that can be used to train models which automate an objective quality prediction process. Invicro, a REALM IDx company, worked with the Amazon […]
Seamlessly and securely integrate on-premise medical image workflows into AWS
Because healthcare organizations depend on their medical images to help improve patient outcomes, being able to securely store and retrieve those images reliably and quickly is crucial. Organizations face an increasing challenge to support a durable storage solution as image stores grow into hundreds of terabytes, and in some cases, petabytes. With the increasing number of ransomware […]
AWS is How: Philips makes medical diagnostics accessible to more people
About half the world’s population has no access to basic healthcare. There are a number of reasons for this, including poverty, language barriers, and geography. Even in the United States, millions of people—particularly in rural areas—live more than 30 minutes away from the nearest hospital. This makes it difficult for them to get critical care […]
Training Machine Learning Models on Multimodal Health Data with Amazon SageMaker
This post was co-authored by Olivia Choudhury, PhD, Partner Solutions Architect; Michael Hsieh, Sr. AI/ML Specialist Solutions Architect; and Andy Schuetz, PhD, Sr. Startup Solutions Architect at AWS. This is the second blog post in a two-part series on Multimodal Machine Learning (Multimodal ML). In part one, we deployed pipelines for processing RNA sequence data, clinical […]
Building Scalable Machine Learning Pipelines for Multimodal Health Data on AWS
This post was co-authored by Olivia Choudhury, PhD, Partner Solutions Architect; Michael Hsieh, Senior AI/ML Specialist Solutions Architect; and Andy Schuetz, PhD, Sr. Partner Solutions Architect. Healthcare and life sciences organizations use machine learning (ML) to enable precision medicine, anticipate patient preferences, detect disease, improve care quality, and understand inequities. Rapid growth in health information […]