De-identification in Medical Imaging: What You Need to Know | Nagels Consulting

With the rise of Machine Learning (ML) in Medical Imaging, training AI models requires real-world data—but how do we ensure Protected Health Information (PHI) stays private?In this episode of Imaging Informatics Unplugged, we sit down with Luke Bideaux, BSRT, RT (R), CIIP, President & CEO of Vega Imaging Informatics, to break down:✅ The challenges of de-identifying medical imaging data✅ Why DICOM metadata & pixel data need special handling✅ The best tools & techniques for PHI protection✅ When re-identification is necessary🎙 About Our Guest: Luke Bideaux has worked in leadership roles at multiple imaging vendors & provider-based organizations in the U.S. He’s a published author, industry advocate, and expert in imaging informatics, interoperability, & data privacy. He trained in radiography at Mayo Clinic (Rochester, MN) and holds certifications from ARRT & ABII.🔗 Connect with Luke & Vega Informatics:🌐 Website: https://vegainformatics.com📢 LinkedIn:https://linkedin.com/in/lukebideaux🎧 Subscribe & Stay Updated!✅ Get expert insights on Imaging Informatics, AI/ML, Interoperability, and more → https://www.youtube.com/@NagelsConsulting🔔 Hit the bell to stay notified of new episodes!📚 Expand Your Knowledge on Imaging Informatics🌐 Website: https://www.nagelsconsulting.com🎓 Courses: https://learn.nagelsconsulting.com🔗 Connect with Us on LinkedIn → https://www.linkedin.com/company/nagels-consulting