The healthcare industry is increasingly embracing the cloud, and to help, we’ve developedhealthcare andlife sciences solutions that make it easier for organizations to transition to cloud technologies. Today, at the annual meeting of the Radiological Society of North America (RSNA), we’re excited to share the ways we’re enabling our customers and partners, through managed DICOM services, analytics, and AI, to make advances toward their clinical and operational goals in medical imaging.
At RSNA, we’ll be showcasing a number of end-to-end solutions and partner offerings. Specifically, we’ll be demonstrating solutions that enable de-identification of data in DICOM images and HIPAA-supported deployments so that our customers and partners can focus on their core business—not on managing and implementing infrastructure.
Sharing the work of our customers and partners
More than a dozen customers and partners will be joining us this week to give live demos, host lightning talks, and share their innovations at RSNA. Some of the topics include:
- Disaster recovery and vendor neutral archiving solutions running on Google Cloud.
- Google Cloud as an enabler for next-generation PACS solutions.
- A real-world evidence platform on Google Cloud.
- A zero-footprint teleradiology solution.
- Machine learning to optimize workflow solutions and reduce annual costs.
You can find a full agenda below. Stop by booth #11318 in the North Hall Level 2 in the AI showcase to see these solutions in action.
Advancing research and AI in radiology
The importance and impact of AI in radiology has been rapidly expanding over the past few years—as can be seen with the growing size of the AI Showcase at RSNA. As an “AI first” company, we are committed to growing the ecosystem of AI developers, fostering new talent, and advancing research. Through Kaggle, and together with RSNA, we have hosted a number of medical imaging AI-based competitions to help encourage AI-based innovation in areas of medical need.
Last year, we hosted an AI competition, where over 1400 teams participated in building algorithms to detect a visual signal for pneumonia, one of the top 15 leading causes of death in the United States. Earlier this year, we launched another healthcare AI competition in collaboration with RSNA. For this challenge, Kaggle participants built algorithms to detect acute intracranial hemorrhage and its subtypes. This year’s competition drew 1,345 teams, 1,787 individuals across those teams, and over 22,000 submissions. By supporting these competitions, we hope to inspire more AI researchers to build algorithms and models that positively impact the healthcare community.
Visit us at RSNA
If you’re planning to attend RSNA, we’d love to connect! Stop by booth #11318 in the North Hall Level 2 in the AI Showcase to say hello and learn more about how we’re working with customers, partners and patients to engineer a healthier world together.
You’re invited to join our corporate symposium “Journey to the Cloud.” A number of our customers and partners will be on hand to share their experiences using Google Cloud to drive innovation in the PACS industry, enable real world evidence, and accelerate of new imaging solutions. The session is scheduled for Dec 3 at 9am CT (room S102AB, South Building, Level 1).
For a full list of Google Cloud activities, partners, demos, and presentations at RSNA, please review the Google Cloud guide to RSNA 2019.
We look forward to seeing you in Chicago!
Source: Google Cloud Blog