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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Is it possible for artificial intelligence to make healthcare more environmentally sustainable?

In the field of radiology, AI may prove to be transformative. It has the potential to streamline processes, cut costs, and increase accuracy in imaging, diagnostics, and prevention.

When we talk about sustainability, we often think of carbon emissions or climate change. But environmental sustainability means something much broader in healthcare: it’s about how we can preserve resources, whether cost, energy, human capital, and reduce waste and pollution, all while improving health outcomes for everyone, everywhere.

Today, host Vibhas Deshpande, Head of Sustainability Innovation and Research, Americas at Siemens Healthineers, welcomes Dr. Kate Hanneman, cardiac radiologist at the University of Toronto; Dr. Charles Goh, Chief Medical Informatics Officer at Singapore General Hospital; and Tobias Heimann, head of the Department of Artificial Intelligence Germany at Siemens Healthineers, to explore how the rise of artificial intelligence is reshaping the conversation around sustainability in healthcare.

Together, they’re helping define what “responsible AI” really means—and what steps healthcare leaders can take now to ensure that AI benefits patients, clinicians and health systems and preserves global resources.

What you’ll learn in this episode:

• Why eliminating data redundancy and using foundational models are keys to keeping AI development sustainable
• AI is used to shorten imaging exams while still maintaining a high image quality, which contributes to energy savings
• AI can help to arrive at correct diagnosis by improving clinical decision making and alignment to best practice to minimize waste in health systems
• Sustainability is more than a metric of emissions or kilowatts—it’s also about how we invest intellectual and clinical capital, such as freeing clinicians to do what humans can do best: connect, interpret, and care.

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