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Faculty Development

Recommended recordings for faculty development

Implicit Gender Bias and Microaggressions, Speaker: Arghavan Salles

Title: Implicit Gender Bias and Microaggressions

Speaker: Arghavan Salles

Date: February 4, 2022

 

Science Behind Real-World Data: Answering Today’s Questions Today, Speaker Rima Arnaout

Title: EXAMPLE

Learning Objective: Artificial intelligence (AI) and machine learning are increasingly being applied to medicine in novel and diverse ways. Rima Arnaout, MD, joins us to demonstrate how machine learning research can be used in cardiovascular imaging. She will also explain how to evaluate new research on machine learning/AI and break down the complexities of convolutional neural networks and how they relate to the larger fields of cardiology and imaging.

Speaker: Rima Arnaout, MD is an associate professor of cardiology, a Chan Zuckerberg Biohub investigator, and a faculty member in the Bakar Computational Health Sciences Institute.

Date: November 3, 2022

Current & Future State of COVID: Updates from the Infectious Diseases Society of America Meeting, Speaker Bob Wachter

Title: EXAMPLE

Learning Objective: From leveraging EHR data to using real-world evidence for drug discovery, our next Medicine Grand Rounds will delve into how developments in data science are advancing patient care and research. 

Speaker: Bob Wachter, MD

Date: October 27, 2022

AI for Computational Imaging in Medicine: Promise, Pitfalls, and What's Next, Speaker Atul Butte

Title: EXAMPLE

Learning Objective: From leveraging EHR data to using real-world evidence for drug discovery, our next Medicine Grand Rounds will delve into how developments in data science are advancing patient care and research. 

Speakers: Atul Butte, MD, PhD

Date: October 13, 2022