Across the globe, radiology departments are grappling with a paradox: imaging volumes are climbing while the trained workforce needed to operate scanners is shrinking.

Using AI-driven tools, a drive towards fully-automated radiology promises faster diagnoses, greater diagnostic accuracy, and more efficient workflows, improving both the patient and clinician experience. It is rapidly transforming the way medical imaging is performed, analyzed, and integrated into imaging workflows.

The success of this development relies strongly on intuitive and impactful user experience, or UX, design. Effective UX is integral to ensuring that patients and clinicians can use smart healthcare systems in ways that maintain safety and integrity and enhance user experience. The question is no longer whether higher levels of automation will play a role in radiology — it's how quickly, and where to begin.

Today, host Iwona Markuszewska welcomes Dr. Shivakumar Swamy S, Head and Director of the Radiology Department and Clinical Director of the Department of Radiomics and Radiogenomics at HCG Cancer care in Bangalore, India; Dr. Yair Safriel, Co-Founder and Chief Medical Officer at Pharmascan and MEC Chair of Radiology at Morton Plant Hospital Association in Clearwater, Florida; and Ralf Bauer, radiologist and partner at RNS joint practice in Wiesbaden, Germany, to examine the future of automation in radiology.

What you’ll learn in this episode:

• Rising imaging demand, an aging population, and lack of trained technologists have pushed the radiology system to its breaking point
• How higher levels of automation can ease this challenge and which types of exams may be the easiest entry point to introducing higher levels of automation in imaging operations
• Automation starts way before image acquisition and can be implemented easily as early as in the patient check-in process
• Patient trust and ease of use are of utmost importance for any automation in radiology is to be widely implemented
• Automation will make it easier for healthcare professionals to spend more time with patients and with more complex, time-intensive cases

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Dr. Shivakumar Swamy S

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Dr. Yair Safriel

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Dr. Ralf Bauer

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Medical imaging is already an integral part of modern healthcare, but as hospitals face growing imaging demand and staffing challenges, new solutions using artificial intelligence have become an effective way to help ease the load.

On today’s episode of Siemens Healthcare Perspectives, you’ll hear a panel conversation discussing AI’s increasing role in radiology, recorded live at the Radiological Society of North America’s 2025 meeting. Held in Chicago, the conference is the world's largest scientific and educational meeting for the radiologic sciences.

For this discussion, host Katharina Schmidler is joined by Dr. John McMenamy, an Associate Professor of Radiology at the University of Colorado and Associate Radiology Chair at Denver Health; Kelly McFarland, WakeMed’s Executive Director of Imaging Services; and Dustin Allen, CT Scan Supervisor at WakeMed.

Together, these industry leaders explore what intelligent imaging looks like in action as well as its potential to enhance quality, accelerate diagnosis, reduce burnout, and improve overall patient care.

What you’ll learn in this episode:

• How AI is transforming radiology by improving workflow efficiency
• Automation allows more focus on patient care
• Real-time feedback between technologists and radiologists enhances image quality
• AI tools can help identify subtle findings that may be overlooked
• Training programs are essential for developing the next generation of technologists
• Collaboration between health systems can enhance the benefits of AI
• The vital role technologists play in patient care

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Access to quality healthcare is still out of reach for millions worldwide — particularly in low- and middle-income countries and underserved rural areas. One of the biggest drivers of this gap is a shortage of trained healthcare workers, a challenge made worse by workforce migration, limited local training opportunities, and uneven distribution of resources.

In this episode of Healthcare Perspectives, host Hagen Weissapfel, Director of Education and Customer Services for Global Access to Care at Siemens Healthineers, is joined by Melissa Culp, Executive Vice President of Member Engagement at the American Society of Radiologic Technologists (ASRT), and Dr. Geoff Ibbotson, surgeon and Executive Director of the Global Surgery Foundation (GSF). Together, they explore how education and training — scaled through digital innovation and local partnerships — can transform access to care for underserved communities.

From stories of practicing in isolation in remote Nepal, to advancing imaging education in Malawi, to building global learning platforms like SURGHub, Melissa and Geoff share how sustainable, in-country solutions can empower healthcare professionals, break down systemic barriers, and save lives.

What you’ll learn in this episode:

• Why education is one of the most sustainable forms of impact in global health
• How digital learning platforms like SURGHub are connecting providers in over 200 countries
• The role of local leadership and trust in building effective training programs
• How public awareness campaigns can inspire the next generation of medical imaging professionals
• The life-or-death consequences of gaps in surgical technology access — and how training can close them
• Why small, targeted investments can yield measurable improvements in health outcomes

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