Curious about what goes into starting an artificial intelligence (AI) research lab? Andreas Rauschecker, MD, PhD, of the UCSF Center for Intelligent Imaging (ci2) joined a podcast panel to discuss that very question.
On episode 24 of the Radiology: AI Podcast from the RSNA, Dr. Rauschecker joined the roundtable alongside Kirti Magudia, MD, PhD, a UCSF ci2 alum and current Assistant Professor at Duke University School of Medicine, and Paul Yi, MD, director of the University of Maryland School of Medicine Medical Intelligent Imaging (IM2ii) Center. The conversation was hosted by Ali Tejani, MD, a diagnostic radiology resident at UT Southwestern Medical Center and deputy editor of the Radiology: AI Podcast.
The group discusses what led each of them to AI in radiology, how they decided to formally pursue a career in imaging AI research, and practical tips for the transition to PI of a laboratory.
"I actually remember the exact moment when I decided to go into radiology," says Dr. Rauschecker on the podcast. He discusses his radiology rotation in medical school, which led to his interest in how to apply objective and quantitative advanced image processing techniques to the often subjective nature of image analysis in clinical radiology.
Listen to the entire episode online or wherever you get your podcasts.
Dr. Rauschecker is continuing the conversation this week via a "Tweet Chat" about starting an AI research lab on February 1, 2023, at 5:00-6:00 pm PST. Follow along by visiting Radiology: Artificial Intelligence on Twitter or searching for #RadAIchat.
