#RSNA2019: How to get up to speed with AI ?

2019-11-25T10:31:20+01:00November 25th, 2019|Enterprise Imaging Platform, Events & Exhibitions|

With RSNA 2019 opening its doors next week, the one thing many participants will be looking forward to is getting up to speed with AI, and getting an update on the innovations and practical applications of AI in Radiology. But where to start ? Picking the most appropriate sessions from a full program of AI related topics, proves be a challenge in itself….

Here’s a tip…

On Monday, 2nd Dec, join Dr. Anjum Ahmed, a leading expert in AI in radiology, in the RSNA Innovation Theatre for a special lecture session on “Evidence-based AI in Radiology – Ensuring Value-based Application and Improving Outcomes”. You will learn from real use cases and gain insight in how AI may augment clinical intelligence and assist in the early detection of critical diseases. Anjum wil share recent feedback from clinical thought leaders that uncover the factors to be considered for AI, including strategy, governance, validation, KPIs and evidence.
A fascinating presentation that cuts through the noise and a great starting point for all things AI!

Monday, 2nd Dec –  3:30-3:50 PM | IN04D | Room: South Hall Level 3.
Looking forward to meeting you there!


Interested in more ? Join us at Booth #4705
With the advent of AI and Deep Learning, Radiology is exploring opportunities relating to meaningful application of these innovations, and their value in improving care pathways. At Agfa HealthCare, our purpose-built Enterprise Imaging platform, with its rules-based workflow engine, enables aggregation of clinical and pixel intelligence that is meaningful, and helps bring radiology to the forefront with evidence-based precision health informatics.

  • Schedule an appointment with one of our experts
  • Wednesday, 4th Dec, 2pm: Another chance to join the expert session by Dr. Anjum Ahmed and learn from Augmented Radiology practical application and use cases. Learn how Radiology can be at the forefront with evidence-based care delivery by leveraging image analytics.

See you soon!



Printed on : 20/06/2024 02:29