Interpretable Deep Learning Model for Breast Cancer Risk Prediction

June is Alzheimer and brain awareness month.  This is a re-release to a podcast episode from December 2022 that focuses on this important topic.  Dr. Manisha Bahl interviews Dr. Jeffrey Prescott. Diffuse Tensor MRI Structural Connectivity and PET Amyloid Burden in Preclinical Autosomal Dominant Alzheimer Disease: The DIAN Cohort. Prescott et al. Radiology 2022; 302:143–150. 

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.

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.

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.

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.

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. 

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.

Dr. Refky Nicola discusses the relationship between radiology department research funding and institutional community inclusion and investment with Dr. Randy Miles. Assessing the Relationship between Radiology Department Research Funding and Institutional Community Inclusion and Investment. Lopez et al. Radiology 2024; 310(1):e231469.

Dr. Linda Chu discusses top 10 tips for writing materials and methods in Radiology with Sarah Atzen, Scientific Editor for Radiology. Top 10 Tips for Writing Materials and Methods in Radiology: A Brief Guide for Authors. Atzen. Radiology 2024; 310(3):e240306.

Dr. Amy Hara, Chair of Radiology at Mayo Arizona and Dr. Christine (Cooky) Menias, Editor of Radiographics, share stories about leadership, mentorship, and positive culture in radiology.