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The Future of Imaging by 2030: From PACS to Cognitive Enterprise Imaging Platforms (2025)
Description

Sponsored by:



Explore the evolution of Enterprise Imaging—from traditional PACS to intelligent, AI-enabled platforms—during this free, one-hour webinar prepared by AGFA HealthCare.

As imaging continues to evolve from a modality-based archive system into an enterprise-wide intelligence layer, health care leaders must prepare for a future where diagnostic platforms are no longer passive repositories, but active participants in clinical reasoning, workflow automation and patient engagement.

Join Anjum Ahmed, MBBS, MBA; Kal Clark, MD; and Sanjoy Nagaraja, MD, for a panel discussion exploring the benefits of Enterprise Imaging Platforms, how to integrate multi-ology workflows, and provide decision support and longitudinal insights across the care continuum.

You’ll learn how next-generation imaging platforms are being shaped by multimodal AI, agentic automation, structured reporting and patient-facing capabilities, and how they’re redefining imaging’s role in precision medicine, operational excellence and health system strategy.

This webinar will be held at 12 :00 PM ET / 6:00 PM CET on Oct. 9.

Faculty
Dr. Anjum Ahmed headshot

Anjum Ahmed, MBBS, MBA 
Global Chief Medical Officer, AGFA HealthCare 

Anjum Ahmed, MBBS, MBA, is a health care IT professional with over 25 years of industry experience in health-tech innovations. As the Global Chief Medical Officer, Dr. Ahmed leads  medical affairs activities, providing oversight to the pre- and post-market clinical risk assessment of AGFA HealthCare’s solutions. In addition, Dr. Ahmed advises the health care leadership teams in the development of solutions strategy and the clinical and medical aspects of technologic innovation and AI.
Dr. Kal Clark headshot

Kal Clark, MD
Vice Chair of Informatics, Associate Professor of Radiology, UT Health San Antonio

Kal Clark, MD, is the vice chair of informatics and an associate professor of radiology at UT Health San Antonio (UTSA). Dr. Clark’s primary clinical expertise is emergency and trauma radiology in the division of emergency radiology. His academic interests include AI as it relates to error mitigation, disease classification, disease diagnosis, radiation safety and general quality improvement. Dr. Clark completed his medical training at Washington University School of Medicine in St. Louis and completed his radiology residency and neuroradiology fellowship at Duke University in Durham, North Carolina. He is a member of the UTSA MATRIX AI Consortium for Human Well-Being and the UT System CAID (Consortium for AI in Diagnostics).
Dr. Sanjoy Nagaraja headshot

Sanjoy Nagaraja, MD
Consultant Interventional and Diagnostic Neuroradiologist, Sheffield Teaching Hospitals NHS Foundation Trust  

Sanjoy Nagaraja, MD, is a consultant interventional and diagnostic neuroradiologist at Sheffield Teaching Hospitals NHS Foundation Trust, with over a decade of experience in advanced neuroimaging and endovascular procedures. Dr. Nagaraja also serves as the radiology clinical lead for the South Yorkshire and Bassetlaw Integrated Care System and is a clinical adviser for NHS England Northeast, where he works to reduce regional disparities in care. Dr. Nagaraja completed his doctorate in neuroradiology at the University of Sheffield and has published extensively on cerebrovascular imaging, stroke intervention and brain arteriovenous malformations. He is actively involved in research, post-graduate teaching and clinical leadership.
Course Overview

Sponsored by:



Explore the evolution of Enterprise Imaging—from traditional PACS to intelligent, AI-enabled platforms—during this free, one-hour webinar prepared by AGFA HealthCare.

As imaging continues to evolve from a modality-based archive system into an enterprise-wide intelligence layer, health care leaders must prepare for a future where diagnostic platforms are no longer passive repositories, but active participants in clinical reasoning, workflow automation and patient engagement.

Join Anjum Ahmed, MBBS, MBA; Kal Clark, MD; and Sanjoy Nagaraja, MD, for a panel discussion exploring the benefits of Enterprise Imaging Platforms, how to integrate multi-ology workflows, and provide decision support and longitudinal insights across the care continuum.

You’ll learn how next-generation imaging platforms are being shaped by multimodal AI, agentic automation, structured reporting and patient-facing capabilities, and how they’re redefining imaging’s role in precision medicine, operational excellence and health system strategy.

Content Areas (Codes):
The following Content Areas will be printed on the certificate for this course:

  • Artificial Intelligence
  • Informatics
  • Leadership & Management

Learning Objectives:

  • Describe the evolution of enterprise imaging from departmental PACS to unified, AI-enabled diagnostic ecosystems.
  • Understand the role of multimodal foundation models in enabling report generation and analytics.
  • Recognize how agentic AI could help drive automation in study assignment, follow-up tracking and quality assurance.
  • Explore use cases of AI-driven structured and synoptic reporting, and how they improve compliance, efficiency and clinical quality.
  • Evaluate the importance of explainability, regulatory governance (EU AI Act, FDA GMLP), and data transparency in deploying safe and scalable imaging AI.

This non-CME Other activity (live and enduring material) is estimated to take 1 hour to complete.

Start Date: 10/9/2025
Online Expiration Date: 10/8/2026

This educational activity was originally presented on 10/9/2025 as an interactive online webinar.

Faculty:

  • Anjum Ahmed, MBBS, MBA
  • Kal Clark, MD
  • Sanjoy Nagaraja, MD

Price:
Non-Member/Basic Member Rate: $0.00
Standard Member/Full Access Member Rate: $0.00

Refund / Exchange Policy:
RSNA will not issue any refunds or exchanges for online only versions of educational products or activities purchased online. Please review the entire product or activity description prior to purchase.

RSNA Disclaimer:
The opinions or views expressed in this activity are those of the presenters and do not necessarily reflect the opinions, recommendations or endorsement of the RSNA. Participants should critically appraise the information presented and are encouraged to consult appropriate resources for information surrounding any product or device mentioned. Information presented, as well as publications, technologies, products and/or services discussed, are intended to inform the learner about the knowledge, techniques, and experiences of RSNA faculty who are willing to share such information with colleagues. The RSNA disclaims any and all liability for damages to any individual user for all claims which may result from the use of said information, publications, technologies, products and/or services, and events. Courses are best viewed on a desktop computer.

Summary
Availability:
Registration ends on October 09, 2025
Expires on Oct 08, 2026
Location:
Online Meeting
Date / Time:
Oct 09, 2025 11:00 AM - 12:00 PM CT
Cost:
FREE
Credit Offered:
No Credit Offered
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