Please join our monthly Biomedical Data Science Grand Rounds with Matthew Lungren, MD, MPH, Associate Professor of Radiology, Stanford University School of Medicine on Thursday, September 24 at 12:00pm via Zoom!

***Please plan to join the webinar by 11:45am in case there are connectivity issues.***

Talk title: "Clinical Machine Intelligence: The Signal and the Noise”

Location: Zoom webinar (no registration required) 

Webinar URL: 

https://dartmouth.zoom.us/j/92638411632?pwd=eUhnVzFMZG9wQ240QWJqYVBhZWh1UT09

Meeting ID: 926 3841 1632

Password: 681641

Host: Saeed Hassanpour, PhD

Talk Summary 

This talk will cover the following topics: Machine Intelligence in Radiology; Data as Catalyst to Scientific Advancement; Pitfalls of Deep Learning – Noise and Signal, Multi-task Learning and Data Fusion; Stanford AIMI approach to Clinical Machine Learning

Biography

Dr. Lungren is the Co-Director of the Stanford Center for Artificial Intelligence in Medicine and Imaging and Associate Professor of Radiology at Stanford University School of Medicine. Dr. Lungren’s research is in the field of AI and deep learning in medical imaging, precision medicine, and predictive health outcomes. His work is funded by NIH and NSF and has been featured in national news outlets such as NPR, Vice News, and Scientific American, and he regularly speaks at national and international scientific meetings on the topic of AI in healthcare.