AWS for Healthcare at RSNA23

AWS for Healthcare is heading to Chicago for the upcoming Radiological Society of North America (RSNA) 2023 event, November 26-29. We are looking forward to engaging with industry leaders and discussing how we can empower their enterprise imaging with cloud-based services to speed diagnosis and innovation.

To support radiologists and health systems deliver patient-centered care, AWS presents purpose-built medical imaging solutions that can help improve clinical collaboration and accelerate artificial intelligence (AI) innovation in medical imaging to extract insights and personalize patient care.

AWS on the RSNA23 Show Floor – Booth #4724

At RSNA, we are demonstrating medical imaging services and solutions to address your clinical, workflow, and operational needs. We are also discussing how innovations like generative AI and multi-modal data analysis can help radiologists do their jobs more quickly and accurately. And, of course, we feature leading partners in the imaging space, such as: Philips, GE Healthcare, Agfa, Aidoc, SmartReporting, Radical Imaging, Apollo, Mach7, DICOMATICS, Alara Imaging, Hoppr, and Flywheel.

Demonstrations

Medical imaging in the cloud: Drive faster, more accurate diagnoses and better care coordination and treatment decisions with AWS HealthImaging, a HIPAA-eligible service that helps healthcare providers and their medical imaging ISV partners store, transform, and apply machine learning (ML) to medical images (e.g., X-Ray, CT, MRI, Ultrasound) at petabyte scale. AWS HealthImaging enables fast access to medical imaging data with sub-second image retrieval latencies and provides up to a 40% reduction in storage costs.

Imaging AI: Leverage the potential of Generative AI to enhance the precision and efficiency of ML in medical imaging, such as CT and MRI scans. These models can autonomously detect abnormalities and alert healthcare professionals to potential issues , thereby speeding diagnosis and accelerating the move toward proactive, personalized medicine.

Medical image archiving and VNA: View, share, store, and archive petabytes of medical imaging data in the cloud to optimize cross-departmental collaboration and image sharing.

Multimodal analysis: Dive into AWS multi-modal solutions, which enable health organizations to more easily unify siloed data and transform unstructured medical data, such as medical imaging and medical text, for downstream analysis to improve the speed and accuracy of diagnoses. Whether looking to build a bespoke solution or an out-of-the-box implementation, AWS for Health provides purpose-built services, industry tools, and partner solutions to help unify and analyze varying forms of medical data.

Ask an Amazonian

Have a specific question or looking to start your cloud journey? Request a meeting with one of our experts. Or, visit the Ask an Amazonian stand in the center of the AWS booth for a drop-in.

AWS speaking engagements

RSNA sessions feature numerous AWS and Amazon leaders, customers, and partners. You can find the full event session catalog here, and add the following sessions to your calendar.

Corporate Symposium

Panel: An Evolved State of Enterprise Imaging | IT2-CS106
November 28, 1:30 PM | S102CD
AWS speaker: Jared Saul, CMO and Chris Hafey, Principal Product Manager

Leaders from AWS, Philips, Dicom Systems, and UC San Diego discuss the evolving state of enterprise imaging. They provide insights into tackling multidisciplinary imaging workflow challenges, future-proof an enterprise imaging organization, and establish a foundation for the IHR. Speakers include Jared Saul, MD, Chielf Medical Officer & Chris Hafey, Principal Product Manager at AWS; Shez Partovi, MD, Chief Innovation & Strategy Officer of Enterprise Informatics at Philips; Dmitry Tochilnik, President and CTO & Florent Saint-Clair, Chief Operating Officer at Dicom Systems; and Scott Coberly, Enterprise Imaging Informatics Manager, UC San Diego. Learn more here.

AI Theater Presentation

Presentation: Solving the scalability problem – AI inference at cloud scale | IT6-IT106
November 28, 2:00 PM | Booth 3315, South Hall, Level 3
AWS speaker: Andy Schuetz, Principal Product Manager

We have a call to action in healthcare. The status quo is no longer sustainable, and it is evident that we must transition to a model that offers superior patient care at a reduced cost. Although technology presents solutions, its integration in healthcare remains sluggish. Why is this the case? Part of the reason lies in the numerous technical hurdles that must be addressed. In this presentation, we delve into the potential of cloud-native AI implementations to surmount these challenges and pave the way for transformative progress. Features speakers are featuring Dr. Nina Kottler, Associate Chief Medical Officer for Clinical AI at Radiology Partners and Andy Schuetz, Principal Product Manager at AWS. Learn more here.

Innovation Theater Presentation

Presentation: How Generative AI for Medical Imaging is Changing Radiology | IW4-AI104
November 29, 12:00 PM | AI Showcase, South Hall, Level 3
AWS speaker: Ash Dhar, Medical Imaging Lead

Join Khan Siddiqui, MD, CEO & Chairman of the board of HOPPR and Ash Dhar, Medical Imaging Lead at AWS for a presentation on how Generative AI for Medical Imaging is changing Radiology. Learn more here.

Educational course – RSNA Deep Learning Lab

Workshop: MONAI Core on Amazon SageMaker Studio Lab | DLL16
November 29, 1:00 PM | Learning Center, Deep Learning Lab
AWS speaker: Alex Lemm, BD Medical Imaging Innovation and Andrew Crabb, Sr. Solution Architect, Healthcare

Amazon SageMaker Studio Lab provides no-cost access to a JupyterLab-based ML development environment for everyone with an email address. MONAI Core is a PyTorch-based, open-source library for training deep learning models in medical imaging. In this workshop, we provide a brief introduction to MONAI and its various components, including MONAI Auto3DSeg – a low-code tool that empowers developers to address the complex task of 3D medical image segmentation. Notably, a team of NVIDIA researchers utilized Auto3DSeg to achieve success in several MICCAI 2023 challenges. Participants engage in hands-on experience by running several MONAI labs within their own SageMaker Studio Lab environment, which is provided as part of the course. Toward the end, we also discuss leveraging another service – Amazon SageMaker – for training your cutting-edge image models at scale. Learn more here.

Additionally, Amazon Pharmacy is featured in a Plenary session:

The Future of Healthcare Delivery: Considerations for Patients and Providers | T4-PL04
November 28, 11:00 AM | Lakeside Center, Level 2, Arie Crown
Amazon Health speaker: Vin Gupta, MD, CMO, Amazon Pharmacy, NBC News Medical Analyst

Technology has accelerated the transformation of healthcare, resulting in innovative new treatments and previously unimagined capabilities for keeping on top of our health and wellness. Having spent close to two decades at the forefront of efforts to advance public health, Harvard-trained specialist and leading healthcare futurist Dr. Vin Gupta possesses unparalleled insights into current and future healthcare trends; how your organization might be impacted by new advancements, technologies, and policies; and what you need to know in order to adapt accordingly. Learn more here.

Looking forward to seeing all of you in Chicago! Visit us at RSNA 2023, booth #4724 to learn how AWS is driving health innovation or request a meeting with one of our experts at RSNA.

To learn how AWS is helping healthcare and life sciences organizations power their journey to personalized health with the most secure and reliable cloud platform and purpose-built health imaging solutions, visit here.