In this episode Drs Paul Yi, Ali Tejani, and Jae Ho Sohn diccuss the topic of bidirectional encoder representations from transformers (BERT) models in relation to radiology. 

Radiology: Artificial Intelligence Journal

-Paul Yi, MD, Assistant Professor and Director of University of Maryland Medical Intelligent Imaging Center -Ali Tejani, MD, Radiology: Artificial Intelligence Podcast Co-host -Jae Ho Sohn, MD, Assistant Professor at the University of California San Francisco

In honor for the RSNA C-Spine Kaggle competition, here is a throwback episode when host Paul Ye interviewed Ian Pan, MD the world's first physician & Kaggle Grandmaster. 

RSNA has teamed with the American Society of Neuroradiology (ASNR) and the American Society of Spine Radiology (ASSR) to conduct an AI challenge competition exploring whether artificial intelligence can be used to aid in the detection and localization of cervical spine fractures. In this challenge competition, competitors will try to develop machine learning models that match the radiologists' performance in detecting and localizing fractures to the seven vertebrae that comprise the cervical spine. Winners will be recognized at an event during the RSNA 2022 annual meeting. Check out the Challenge here: https://www.kaggle.com/competitions/rsna-2022-cervical-spine-fracture-detection

Radiology: AI podcast host Dr. Paul Yi interviews Akshay Goel, MD – Board-Certified Radiologist and Senior Machine Learning Scientist at Tempus Labs. 

Dr. Paul Yi interivews Drs. Christoph Lehmann and John McGreevey about the ethics of AI in radiology and medicine. 

Christoph Lehmann, MD; Willis C. Maddrey, M.D. Distinguished Professorship in Clinical Science; Professor of Pediatrics, Population and Data Sciences, and Bioinformatics at UT Southwestern, where he directs the Clinical Informatics Center. John McGreevey, MD; Associate Professor of Clinical Medicine; Associate Chief Medical Information Officer, University of Pennsylvania Health System; Senior Fellow, Institute for Biomedical Informatics, University of Pennsylvania

Charles Kahn, Jr., MD, MS, Hesham ElHalawani, MD, and Paul Yi, MD sit down to discuss the growth of the Radiology: AI Journal and what to expect from the social media team in the future. 

Live recording from the RSNA Annual Meeting 2021 for the Radiology: AI journals.  Join Drs. Paul Yi and Dania Daye as they host a fireside discussion on all things AI past, present, and future. 

Dr. Paul Yi interviews Bhavik Patel Senior Associate Consultant Associate Professor Department of Radiology Director of AI on recent article Impact of Upstream Medical Image Processing on Downstream Performance of a Head CT Triage Neural Network. Hooper et al. Radiology: Artificial Intelligence 2021; 3(4):e200229

Introduction to the podcast by Dania Daye, MD, PhD

Dr. Paul Yi interviews Despina Kontos Matthew J. Wilson Associate Professor of Research Radiology II Associate Vice-Chair for Research University of Pennsylvania

Introduction to the podcast by Dania Daye, MD, PhD

Dr. Paul Yi interviews Ronald Summers, MD, PhD Senior Investigator of Imaging Biomarkers and Computer-Aided Diagnosis Laboratory, NIH Clinical Center

Disclaimer: The opinions expressed in this podcast are those of the participants and do not necessarily reflect those of the US Department of Health and Human Services or the National Institutes of Health. The mention of companies or commercial products in this podcast does not imply endorsement.

Introduction to the podcast by Dania Daye, MD, PhD

Dr. Paul Yi interviews Carol Wu, MD, Professor, Department of Thoracic Imaging, Division of Diagnostic Imaging, The University of Texas MD Anderson Cancer Center, Houston, TX and Ian Pan, MD, Radiology Resident, Brigham and Women's Hospital about the RSNA Pulmonary Embolism Detection Challenge.

Introduction to the podcast by Dania Daye, MD, PhD