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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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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Metabolic dysfunction-associated steatotic liver disease (MASLD), also known as fatty liver disease, is a chronic liver condition that affects nearly 1 in 3 people worldwide. It is closely linked to obesity, type 2 diabetes, and metabolic syndrome. Unchecked, it can progress to a more severe form of disease called Metabolic Dysfunction-Associated Steatohepatitis (MASH).

Prognosticating the risk of disease progression in MASLD and MASH has traditionally involved liver biopsy, a process that involves removing a tissue sample with a hollow needle and then examining the sample under a microscope to diagnose and stage disease. However, biopsy has many limitations. Additionally, drug development for MASLD and MASH has proceeded slowly in part due to a reliance on liver biopsy to determine drug efficacy.

Recently, increasing evidence is suggesting that non-invasive options, for example, imaging examinations along with blood tests that assess likelihood of disease progression such as the Enhanced Liver Fibrosis (ELF) Test, may effectively reduce the need for the more invasive alternative. Key experts in MASLD and MASH share their perspectives about how clinical evidence supports a shift in the way patients with MASLD and MASH could be evaluated in clinical practice and in research.

Host Matt Gee, Director of Collaborations and External Engagement at Siemens Healthineers, is joined by Prof. William Rosenberg, Deputy Director of the Institute for Liver and Digestive Health at University College London as well as Dr. Veronica Miller, Director of the Forum for Collaborative Research at the University of California, Berkeley School of Public Health; Dr. Arun Sanyal, Professor of Medicine, Physiology, and Molecular Pathology in the Division of Gastroenterology at Virginia Commonwealth University; and Dr. Michelle Long, International Medical Vice President of Metabolic Dysfunction-Associated Steatohepatitis at Novo Nordisk and Associate Professor in the Section of Gastroenterology and Hepatology at Boston University.

What you’ll learn in this episode:

• Liver biopsy creates several obstacles for patients and has limitations
• Drug development faces challenges by the reliance on biopsy as a measure of treatment effectiveness
• Non-invasive tools may be suitable alternatives to liver biopsy both in clinical practice and in drug development

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A reversible liver condition is the fastest growing cause of liver transplantation in Western countries: Metabolic dysfunction-associated steatotic liver disease—or MASLD—affects patients worldwide. It’s characterized by excessive fat accumulation in the liver and can progress into more severe forms of liver disease, potentially resulting in fibrosis, cirrhosis and liver failure.

Risk factors for developing liver disease include obesity, insulin resistance, type 2 diabetes, and metabolic syndrome. Genetics, unhealthy dietary habits, and a sedentary lifestyle can also play significant roles in its development. Diagnosis typically involves imaging examinations along with blood tests that assess liver function and rule out other causes of liver disease.

Disease management focuses on lifestyle modifications such as diet and exercise, though new medications are now being prescribed to slow and potentially reverse this condition. Regular monitoring of disease progression is also crucial for successful treatment.

In this episode, experts in the field of liver disease address the progress happening in the recognition, diagnosis and treatment of the disease.

Host Matt Gee, Director of Collaborations and External Engagement at Siemens Healthineers, is joined by Dr. Michelle Long, International Medical Vice President of Metabolic Dysfunction-Associated Steatohepatitis at Novo Nordisk and Director of Clinical Research for the Section of Gastroenterology and Hepatology at Boston University; Dr. Arun Sanyal, Professor of Medicine, Physiology, and Molecular Pathology in the Division of Gastroenterology at Virginia Commonwealth University; and Michael Betel, President and Founder of the Fatty Liver Alliance.

What you’ll learn in this episode:

• One of the biggest obstacles to diagnosing MASLD before it progresses stems from the lack of visibility and awareness of the disease
• MASLD is a reversible disease when caught in time
• MASLD is more complex than a patient’s diet or lifestyle—metabolic dysfunction plays a role
• Non-invasive testing has become an important tool in advancing patient care

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Radiotherapy plays a vital role in cancer treatment. In Europe alone, incidents of cancer are projected to rise around 20% by 2040, mainly due to an increasingly aging population. It’s numbers like these that emphasize the importance of pushing boundaries in radiotherapy.

With AI-optimized workflows, it’s possible to speed up treatment planning and ensure highly personalized therapies and technology like auto contouring can protect healthy organs during irradiation by means of AI. This implementation, however, is often met with challenges like staff shortages and inconsistencies with data collection, highlighting the need for more efficient implementation strategies.

In this episode, experts in the fields of radiotherapy and cancer treatment address the amazing headway being made in the world of radiotherapy as well as some of the key roles that current technology can play in the future.

Host Sasa Mutic, President of Radiation Oncology Solutions at the Varian Business Area of Siemens Healthineers, is joined by Valery Lemmens, a member of the Board of Directors at Maastro Radiotherapy Clinic in the Netherlands and creator of the Dutch Cancer Atlas; as well as Joost Verhoeff, radiation oncologist and professor of radiotherapy at Amsterdam University Medical Center; and Indrin Chetty, Vice Chair and Director of the Division of Medical Physics at Cedars-Sinai in Los Angeles.

What you’ll learn in this episode:

• By using a digital twin, medical professionals can review existing health records and continually compare that information with patient data
• With adaptive radiotherapy, radiation dosages can be tailored to circumstances like tumor size, type, and position and proximity to vital organs
• The Dutch Cancer Atlas interprets and publishes data in a context that increases awareness of regional differences in cancer incidents
• The unique role that data plays in the advancement of cancer care
• The deep troves of data that already exist within radiotherapy departments can play a key role in the integration of AI into cancer treatments
• Widespread availability of data creates the opportunity for automated treatment planning and outcome prediction

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Indrin Chetty

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With significant disparities in diagnosis, treatment, and funding when compared to men, women’s health has long been underserved. These gaps affect not only individual health outcomes, they also have societal and economic implications which are highlighted by a recent report by the World Economic Forum and The McKinsey Health Institute which addresses a $1 trillion dollar opportunity to improve lives and economies by mitigating these disparities.

Factors like societal perception, clinical practice, and financial investment all play an important part in women’s health. Addressing the gender health gap and overcoming issues like the misdiagnosis of diseases in women, increasing women’s representation in clinical trials, and advocating for greater financial investment in women’s health are all crucial steps in building a more equal healthcare system for all.

Today, we’re joined by board members of the World Economic Forum’s Global Alliance for Women’s Health to discuss how building a more equitable healthcare system can drive meaningful change, improve healthcare for women, and create access to significant economic potential worldwide.

In this episode, host Elisabeth Staudinger, Member of the Managing Board of Siemens Healthineers, is joined by fellow World Economic Forum’s Global Alliance for Women’s Health board members Nadia Fettah, Minister of Economy and Finance for the Government of Morocco and Shyam Bishen, Head of the Centre for Health & Healthcare at the World Economic Forum.

What you’ll learn in this episode:

• Despite living longer, women spend 25% more time in poor health than men
• Women are twice as likely to be misdiagnosed after having a heart attack than men. Along with misdiagnosis and premature discharge, female cardiac patients are also less likely to be prescribed secondary prevention measures after experiencing a cardiac event
• How the Global Alliance for Women's Health is pooling together efforts in research, regulation and funding to close the gender healthcare gap
• Success stories that give hope on the path to healthcare equality

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