Title: Best Practices for Transparent and Reproducible AI Research
Speaker Bio
Ali Tejani, MD, CIIP, is a neuroradiology fellow at the University of California, San Francisco (UCSF). He completed his radiology residency at the University of Texas Southwestern Medical Center, where he served as senior chief resident of the diagnostic radiology program. He also completed an Imaging Informatics Fellowship at the University of Pennsylvania/Penn Radiology. He serves as Associate Editor for Radiology: Artificial Intelligence and Deputy Editor of the Radiology: Artificial Intelligence podcast. His research interests include artificial intelligence (AI) literacy, understanding human-AI interactions, and developing infrastructure for clinical AI deployment and monitoring.
Abstract:
Navigating recommendations for best practices for imaging AI research can be daunting with growing options for reporting checklists and other guidelines. This talk will provide a foundation for understanding best practices for transparent and reproducible AI research with an emphasis on identifying the best fit reporting guidelines for imaging and non-imaging AI tasks, including an update on recent generative AI and large language model checklists.
Schedule:
Date: Friday, November 21st 2025
Time: 18:00 WAT | 12:00 EST | 09:00 PST | 17:00 UTC | 17:00 GMT
Zoom Meeting Link: https://us06web.zoom.us/j/89709172931
Contact Information
compass@mailab.io
View recordings of previous sessions on our YouTube channel https://www.youtube.com/@COMPASS-nn5or
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