Reinventing Medical Imaging with AWS Machine Learning
summary
Shows how AWS uses machine learning and cloud services to improve medical imaging workflows, reduce costs, and help healthcare organizations deliver better patient care. Describes AWS ML technologies and AWS Cloud capabilities applied to medical image analysis and deployment in healthcare environments.
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chapters (16)
- 0:00Start
- 0:57What are customers' challenges and business objectives?
- 3:29How to achieve business objectives with AWS?
- 6:19A global, scalable, low-latency, and secure medical image analysis platform with ML on AWS
- 7:58From challenges to an integrated global machine learning infrastructure
- 10:58COVID-19 pandemic: role of medical imaging
- 14:24How to reinvent medical image research with ML on AWS?
- 15:55Data storage and sharing with the global research community
- 16:54Scalable, low-latency, web-based medical imaging workstation
- 17:50ML pipelines integrated with external parties
- 19:01How to reinvent medical image management with ML on AWS?
- 20:01Hyper-scale storage with automated lifecycle, security, and regulatory compliance
- 21:13High-availability infrastructure with zero footprint applications
- 22:24Scalable microservices architecture, faster cycles with ML and analytics
- 25:52The Hospital Italiano approach
- 26:57Reinventing medical imaging with machine learning on AWS
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