205 episodes
Radiology Podcasts | RSNA The Radiological Society of North America
-
- Science
Radiology Podcast Editor Linda Chu, MD and guests discuss recently published research in the January 2021 Issue of Radiology. Subscribe today on Apple Podcasts, Google Play, Spotify, or ask Alexa to "play Radiology podcasts on TuneIn".
-
AI (ChatGPT, Google Bard, and MS Bing) Radiology Report Simplification
Dr. Lauren Kim discusses the role of large language models in simplifying radiology reports with Kanhai Amin and Dr. Howard Forman.
Accuracy of ChatGPT, Google Bard, and Microsoft Bingfor Simplifying Radiology Reports. Amin et al. Radiology 2023; 309(2):e232561.
Quantitative Evaluation of Large LanguageModels to Streamline Radiology Report Impressions:A Multimodal Retrospective Analysis. Doshi and Amin et al. Radiology 2024; 310(3):e231593. -
Bone Biopsies for Chronic Nonspinal Osteomyelitis
Dr. Linda Chu discusses the Consensus Recommendations on Percutaneous Bone Biopsies for Chronic Nonspinal Osteomyelitis with Dr. Laura Fayad.
Chronic Nonspinal Osteomyelitis in Adults: Consensus Recommendations on Percutaneous Bone Biopsies from the Society of Academic Bone Radiologists. Debs et al. Radiology 2024; 311(1):e231348. -
Teleradiology Medical Malpractice Cases
Dr. Francis Deng discusses characteristics of teleradiology medical malpractice cases with Dr. Adam Schaffer.
Assessment of Claimant, Clinical, and FinancialCharacteristics of Teleradiology Medical Malpractice Cases. Schaffer et al. Radiology 2024; 311(1):e232806. -
SRU Consensus for Endometriosis
Dr. Refky Nicola discusses the Society of Radiologists in Ultrasound Consensus on Pelvic US for Endometriosis with Dr. Scott Young and Dr. Wendaline VanBuren.
Society of Radiologists in Ultrasound Consensus onRoutine Pelvic US for Endometriosis. Young and Jha et al. Radiology 2024; 311(1):e232191. -
Interpretable Deep Learning Model for Breast Cancer Risk Prediction
Dr. Reni Butler discusses AsymMirai, interpretable mammography-based deep learning model for breast cancer risk prediction with Jon Donnelly, Luke Moffett, Dr. Schwartz, and Dr. Joseph Lo.
AsymMirai: Interpretable Mammography-based Deep Learning Model for 1–5-year Breast Cancer Risk Prediction. Donnelly et al. Radiology 2024; 310(3):e232780. -
C-RADS Version 2023
Dr. Linda Chu discusses the version 2023 update to the CT colonography reporting and data system with Dr. Judy Yee and Dr. Kevin Chang.
CT Colonography Reporting and Data System (C-RADS):Version 2023 Update. Yee et al. Radiology 2024; 310(1):e232007.
Top Podcasts In Science
You Might Also Like