Co-hosts Dr. Paul Yi and Dr. Ali Tenjani speak with Jacopo Teneggi and Dr. Jeremias Sulam about Jacopo's trainee award winning research Weakly-Supervised Learning Substantially Reduces the Number of Labels Required for Intracranial Hemorrhage Detection on Head CT.

Drs. Paul Yi and Ali Tejani team up with Radiology podcast host Dr. Linda Chu to discuss the hot topic of ChatGPT with Dr. Som Biswas, Dr. Felipe Kitamura, and PhD Student Artie Shen. 

For more ChatGPT content check out this articles-

ChatGPT and the Future of Medical Writing- Dr. Som Biswas ChatGPT Is Shaping the Future of Medical Writing but Still Requires Human Judgment- Dr. Felipe Kitamura  ChatGPT and Other Large Language Models Are Double-edged Swords- Shen et al

Co-hosts Dr. Ali Tejani and Dr. Paul Yi speak with Merel Huisman, MD, PhD, John Mayfield, MD, MSc, and Iwan Paulucci, PhD about their Radiology AI: Trainee Editorial Board experiences. 

Live recording of the RSNA 2022 Fireside chat hosted by Paul Yi and Ali Tejani

Ali Tejani hosts a discussion with Drs. Kirti Magudia, Andreas Rauschecker, and Paul Yi about their research lab beginnings.

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.