Nov 30
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3
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2025
Request a meeting by filling the form
At Segmed, we're dedicated to enhancing patient care by integrating Real-World Imaging Data and Multimodal Data to streamline research and innovation. Our solutions facilitate seamless access to structured, de-identified cohorts of imaging reports, amplifying the diversity and equity of your projects while optimizing operational efficiency. Whether you're focused on research, diagnostics, or treatment planning, Segmed helps you harness the full potential of imaging for better outcomes.
We'll be exhbiting the upcoming RSNA Conference and are eager to connect with you to discuss how Segmed can support your mission to improve patient care. Book your meeting through the form below.
If you are attending RSNA, visit us to discover how Segmed is transforming real-world imaging data and multimodal data into powerful insights. Meet our team, see our innovative solutions in action, and explore how we can accelerate your research, development and regulatory submission. Together, let’s revolutionize the way you approach radiology and unlock new possibilities for innovation.
This is your chance to gain actionable insights that will help accelerate your organization’s AI initiatives and prepare you for the next wave of healthcare innovation.
Date and time: Tuesday, December 2nd at 10:30am CT
Foundation models are transforming healthcare AI. But their performance depends entirely on the quality and structure of the underlying data. This session will elaborate on how Segmed and Microsoft are working together on foundation model development, and will explore best practices, challenges, and innovations in preparing medical data for foundation model development, from raw clinical datasets to curated, high-quality inputs. Attendees will leave with actionable insights to accelerate their AI initiatives while maintaining compliance and patient privacy.
Presenters:
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Martin is a physician, epidemiologist, biomedical engineer, scientist, and entrepreneur. Previously, Martin directed clinical cardiovascular imaging research at Stanford Radiology and served as CEO of Segmed for 3 years. Martin has published 100+ peer-reviewed papers, has been invited to present 30+ lectures at international scientific meetings, is a Fulbright laureate, and received funding from the American Heart Association, Philips Healthcare, Stanford University, and more. He is designated as a Fellow of the Society of Cardiovascular Computed Tomography (SCCT) and is an active member of multiple European and North American clinical scientific societies. His work has amongst others been recognized with awards from the Radiological Society of North America, European Society of Radiology, Society of Thoracic Radiology, and European Society of Thoracic Imaging.
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Ivan is a seasoned leader in healthcare artificial intelligence, currently serving as the Senior Director of Product Management, Multimodal Healthcare AI at Microsoft. With a robust background in software architecture, medical device technology and consulting, he has been instrumental in developing and deploying cutting-edge AI solutions tailored for the healthcare AI sector. Under his leadership, Microsoft has recently introduced foundational AI models and templates designed to enhance various healthcare applications, including diagnostic imaging, report generation, and image segmentation. These models are integrated into Azure AI Studio, facilitating seamless, code-free deployment for healthcare professionals and researchers.
