title:: Next generation radiology: cloud-first and generative AI as enablers for the future

publisher:: European Society of Radiology (ESR)

people:: Shez Partovi, Razvan Ionasec, Madhuri Sebastian, Evis Sala

organization:: Philips, Amazon Web Services (AWS)

domain:: Radiology, Medical Imaging, Cloud Computing, Artificial Intelligence, Generative AI

link:: https://connect.myesr.org/course/next-generation-radiology-cloud-first-and-generative-ai-as-enablers-for-the-future/

talks

Summary

This symposium session explored how cloud computing and generative AI technologies can enable the next generation of radiology. Key points discussed include:

  • Benefits of public cloud for radiology informatics solutions like secure data storage, scalability, improved cybersecurity and operational efficiency
  • Role of AI/ML and generative AI as radiologist assistants to enhance diagnostic speed, quality and patient outcomes
  • Evolution of PACS systems to address radiology department challenges like increasing imaging demand and radiologist shortages
  • Potential impact and challenges of transitioning radiology to the cloud environment
  • Efficient remote reading capabilities and cross-specialty collaboration enabled by cloud solutions

The session featured insights from experts at Philips, Amazon Web Services (AWS), and radiologists on leveraging these emerging technologies to transform radiology practices.

Watch Philips symposium on cloud-first and generative AI technology: https://www.youtube.com/watch?v=GtMuotal2m8

Data Points

  • Event: Industry Symposium at European Society of Radiology (ESR) Connect 2024
  • Topic: Next-gen radiology powered by cloud and generative AI
  • Speakers: Shez Partovi (Philips), Razvan Ionasec (Philips), Madhuri Sebastian (Philips), Evis Sala (radiologist)
  • Covered public cloud benefits for radiology like scalability, security, cost efficiency
  • Discussed role of AI/generative AI as radiologist assistants for improved diagnosis
  • Highlighted evolution of PACS to support increasing imaging demands, radiologist shortage
  • Examined impact and challenges of moving radiology IT infrastructure to the cloud
  • Emphasized remote reading, cross-departmental collaboration enabled by cloud solutions
  • Hosted by Philips and Amazon Web Services (AWS)

Industry Symposium by Philips and AWSIND 17 - Next generation radiology: cloud-first and generative AI as enablers for the future

In this session, you will hear about leveraging public cloud and generative AI technology to empower the next generation of radiology. We will explore how radiology informatics solutions benefit from secure, compliant cloud technology and can automatically scale to support vast amounts of imaging data. This capability supports healthcare institutions’ efforts to improve security, costs and operational efficiency. The ever-increasing demand for imaging studies and the shortage of radiologists remain challenges for health systems. Radiologists have increased flexibility through efficient remote reading options and enhanced cross-specialty collaboration. We will also discuss how AI/ML and generative AI in healthcare can serve as a radiologist’s assistant to help enhance diagnostic speed and quality while supporting patient outcomes – all thanks to the public cloud.

5 min

Introduction Shez Partovi, Amsterdam / Netherlands

Know the panelists and the agenda of the session

10 min

Reinventing medical imaging: cloud-first, AI-first, and Generative AI in Healthcare Razvan Ionasec, Munich / Germany

Understand public cloud benefits for the radiology department today and how it sets the stage for AI and generative AI today and tomorrow

10 min

A modern PACS as the cornerstone of radiology departments and their evolving needs Madhuri Sebastian, Boston / United States

Understand how the PACS needs to evolve and its potential impact to tackle the radiology department challenges and needs

10 min

Impact of cloud and AI on Research and Clinical Imaging Evis Sala, Rome / Italy

Understand the challenges and expectations a radiology department moving to the cloud can encounter

25 min

Panel discussion Shez Partovi, Amsterdam / Netherlands

Lectures 1 Introduction05:00Shez Partovi, Amsterdam / NL 2 Reinventing medical imaging: cloud-first, AI-first, and Generative AI in Healthcare10:00Razvan Ionasec, Munich / DE 3 A modern PACS as the cornerstone of radiology departments and their evolving needs10:00Madhuri Sebastian, Boston / US 4 Impact of cloud and AI on Research and Clinical Imaging10:00Evis Sala, Rome / IT 5 Panel discussion25:00Shez Partovi, Amsterdam / NL

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