Radiosurgery Registry Data Mining: Process and Results from the First 3000 Patients


Douglas Kondziolka, MD, of New York University Langone Medical Center discusses big data and the power of discovery through registries in clinical research, specifically radiosurgery registry data mining. He gives a history of how clinical research has been completed in the past and why randomized trials are so infrequently completed. He then contrasts small data—driven by hypothesis toward validation—with big data—understanding driven by existing abundant data. He then delves into discussing big data as it relates specifically to neurosurgery using case examples and how it can be used to improve the field and accelerate understanding.


Video Transcript

Thank you, Tony. Good morning, everybody. This is the topic I find the most fun now in my career and hope to share some of that enthusiasm with you. Obviously, this morning, we're talking about software, and now we're gonna talk about software as it comes to making a more intelligent field of radiosurgery, and Brainlab has been a big supporter of this, generating a lot of time and money and software support to a national American registry. But other people have been involved in this. So where are we right now? Well, what do we really wanna know? Yesterday,...

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