A fantastic #RadInTraining #TWEETORIAL on opportunistic bone density assessment that predicts outcomes of patients with possible radial fractures Radiology Thanks Vitali Koch!

Radiology as a field is 🔥! Check out this fabulous #TWEETORIAL by fantastic #RIT members Arya H. Mirzaian and Enis C. Yilmaz, MD summarizing the latest Radiology publication on radiology residency match trends Linda Moy Rad In Training Editor doi.org/10.1148/radiol…

🚨 A new episode of the Radiology podcast is now available! 🚨 Linda Chu, MD discusses recent trends in the U.S. radiology residency match with Francis Deng, MD bit.ly/3r8IsZk

Dr. Tuthill discusses the performance of deep learning models applied to B-mode US images in detecting and grading hepatic steatosis when compared with the performance of human readers in this targeted editorial. bit.ly/48Oz7a6

Simple steps can substantially enhance prostate MRI quality as shown in this important work 👉doi.org/10.1148/radiol… No expensive software or hardware needed I was honored to work with Victoria Chernyak, MD MS FSAR FESGAR FACR on the accompanying editorial 👉 doi.org/10.1148/radiol… Linda Moy

Change or no change? Chest radiograph follow-up triaged by AI. Learn more in this targeted editorial by Julianna Czum. doi.org/10.1148/radiol…

Contrast media research: Substitution with a low-osmolar iodinated contrast agent that does not share a common carbamoyl side chain may be a practical strategy to reduce the recurrence of immediate hypersensitivity reactions. bit.ly/49jhP4O

Dr. Chernyak is presenting a brief overview of the Radiology In Training program at the annual Radiology Editorial Board Breakfast! Victoria Chernyak, MD MS FSAR FESGAR FACR Rad In Training Editor #RSNA2023 #Day2 @Radiology_RSNA Linda Moy

In a retrospective multivariable analysis of 1459 men with prostate cancer who underwent multiparametric MRI before radical prostatectomy, five variables helped predict 5-year risk of biochemical recurrence. Find out what they are in this new study. bit.ly/47oYoX1

In this editorial, Drs. Jae Ho Sohn, MD, MS and Brandon K.K. Fields, M.D. discuss the study by Pan and Hu et al for predicting preinvasive, minimally invasive, and invasive adenocarcinoma. UCSF Radiology Residents UCSF Imaging UCSF Center for Intelligent Imaging UC San Francisco @UCSFchest doi.org/10.1148/radiol…

"#AI is a promising tool because it's able to increase the complexity of the theory we can build on. But ... the flexible models are less interpretable, so we don't know what they’re thinking," says Artie Shen: cai2r.net/artie-shen-on-… +NYU Grossman School of Medicine NYU Data Science New York University

Must read editorial🔥

In a study of nearly 5,000 screening mammograms interpreted by an FDA-approved AI algorithm, patient characteristics such as race and age influenced false positive results. The study’s results were published in Radiology. Derek Nguyen, MD bit.ly/4bHS1zK

In this editorial, Dr. David Ballard of Mallinckrodt Institute of Radiology highlights the importance of maintaining "an educated level of skepticism" while using generative AI for complex tasks like interpreting radiology reports or answering radiology test questions. doi.org/10.1148/radiol…

In this editorial, Dr. Woojin Kim of Rad AI discusses the challenges to advancing generative AI research in radiology, poses important questions, and offers insightful perspectives. bit.ly/3ymAmzi

🚨Hot off the press! Check out the #CLAIM 2024 Update with guidance for #AI #authors, #reviewers, #researchers! The latest guideline represents insight from experts across the 🌍 Stay tuned for more on changes and new features in this resource! Radiology: Artificial Intelligence Charles Kahn, MD #imaging

Checklist for Artificial Intelligence in Medical Imaging (CLAIM): 2024 Update doi.org/10.1148/ryai.2… Anthony A Gatti John Mongan Linda Moy #DeepLearning #AI #ML

The CLAIM guideline promotes consistent reporting of scientific advances of #AI in medical imaging doi.org/10.1148/ryai.2… Anthony A Gatti John Mongan Linda Moy #CLAIM #DeepLearning #ML

RSNA's leading journals continue to demonstrate impressive impact factors! Impact factor measures the relevance and influence of academic journals based on citation data.

Read the full article here: pubs.rsna.org/doi/10.1148/ra… #RadInTraining Rad In Training Editor @VchernyakMD Linda Moy @RadiologyEditor @Radiology_RSNA