Approximately 3.6 billion medical imaging tests are performed annually worldwide to aid in diagnosing, monitoring and treating health conditions. Accelerating the analysis of X-rays, CT scans, MRIs and ultrasounds is essential to alleviating the burden on clinicians and improving patient care.
This webinar will provide an insightful session exploring how open-source tools are transforming medical imaging research and clinical applications. The featured speakers will present a robust, community-driven framework purpose-built for healthcare imaging workflows.
Learn how researchers and clinicians are leveraging open-source resources to develop, package, test, deploy and run medical AI applications in clinical production, streamlining the process of developing and integrating medical imaging AI applications into clinical workflows.
Register for this webinar to explore how open-source tools are advancing medical imaging and AI in research and clinical care.
Speakers
Michael Zephyr, Senior Developer Evangelist, NVIDIA
Michael Zephyr is a Technical Product Manager for MONAI and Senior Developer Evangelist for MedTech at NVIDIA. He leads the MONAI Outreach and Adoption Working Group and focuses on community development across MONAI, Holoscan, and Isaac for Healthcare. Michael organizes events, creates tutorials, and builds developer communities to help healthcare organizations and developers implement AI and MedTech solutions.
Message Presenter
Matthew Andreatta, PhD, Solutions Science Director, DNAnexus
Matthew Andreatta, PhD, serves as a Solutions Science Director for DNAnexus, helping diagnostic companies, pharmaceutical partners and data providers glean actionable insights from multiomic and clinical information. He’s spent the last nine years building tools and visualizations to explore health-related genomic datasets that support patient-driven decisions and analytical workflows. Matthew holds a Bachelor of Science in Biotechnology from the University of California at Davis, a Master of Science in Molecular Biology from Purdue University and a PhD in Genomics from Purdue University.
Message PresenterWho Should Attend?
This webinar will appeal to:
- Medical Imaging ML Engineers/AI Developers
- Clinical and Academic Researchers (Radiology, Pathology and Biopharma)
- Imaging Informatics/IT Leads and Infrastructure Engineers
- Data Scientists in Healthcare and Pharma
- Product Managers and Innovation Leaders in Medical AI
What You Will Learn
Attendees will learn about:
- Understand the core features and capabilities of open-source AI frameworks for medical imaging
- See how AI models are trained to synthesize high-resolution imaging
- Explore real-world use cases of open-source AI frameworks in clinical settings
- Discover how open-source tools can enhance collaboration and reproducibility in medical imaging research
Xtalks Partner
DNAnexus®
DNAnexus® has built the world’s most secure cloud platform and global network for scientific collaboration and accelerated discovery. We embrace challenges and partnership to tackle the world’s most exciting opportunities in human health.
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