Radiology (RSNA Journal)

Radiology (RSNA Journal) Monthly journal devoted to clinical radiology and allied sciences, owned and published by Radiologic Radiology is available both online and in print.

Published regularly since 1923 by the Radiological Society of North America (RSNA), Radiology has long been recognized as the authoritative reference for the most current, clinically relevant, and highest quality research in the field of radiology. Each month the journal publishes approximately 300 pages of peer-reviewed original research, authoritative reviews, well-balanced commentary on significant articles, and expert opinion on new techniques and technologies. The Radiology Legacy Collection is a searchable electronic archive of Radiology issues from 1923-1998 that chronicles the evolution, breakthroughs and triumphs of the radiologic sciences.

Comparison of diagnostic performance of a validated NLP model vs 7 LLMs in extracting incidental lung nodules–related in...
02/07/2026

Comparison of diagnostic performance of a validated NLP model vs 7 LLMs in extracting incidental lung nodules–related information from unstructured radiology reports. https://bit.ly/4r9N23i

A deep learning algorithm achieved liver metastasis detection rates on contrast-enhanced abdominal CT scans comparable t...
02/06/2026

A deep learning algorithm achieved liver metastasis detection rates on contrast-enhanced abdominal CT scans comparable to those of radiologists, with consistent performance across different lesion sizes locations, and clinical conditions. https://bit.ly/4bFanEV

Tripathi et al review "agentic AI" (contrasted with LLMs); explore current implementation in worklist triage, report gen...
02/06/2026

Tripathi et al review "agentic AI" (contrasted with LLMs); explore current implementation in worklist triage, report generation, and guideline adherence; and emphasize human-in-the-loop oversight. https://bit.ly/4teq4cn

AI researchers: Read the new Framework for LLM Assessment in Radiology (FLAIR) checklist for reporting studies on LLMs, ...
02/05/2026

AI researchers: Read the new Framework for LLM Assessment in Radiology (FLAIR) checklist for reporting studies on LLMs, established by a 20-expert Delphi process, to improve transparency and applicability. https://bit.ly/4auTVpC

Drs. Jiang and Sun show us impressive images of LAD in-stent stenosis thru ultrahigh-resolution photon-counting CT curve...
02/04/2026

Drs. Jiang and Sun show us impressive images of LAD in-stent stenosis thru ultrahigh-resolution photon-counting CT curved planar reconstruction & volume-rendering, paired with subsequent angiographic & intravascular optical coherence tomography correlates. https://bit.ly/3OkputG

🚨 A new episode of the  podcast is now available! 🚨 Dr Linda Chu and co-hosts Drs Refky Nicola, Lauren Kim, and Reni But...
02/03/2026

🚨 A new episode of the podcast is now available! 🚨 Dr Linda Chu and co-hosts Drs Refky Nicola, Lauren Kim, and Reni Butler review the Top 10 most downloaded Radiology articles of 2025 and the studies that made the biggest impact on clinical practice.

Radiology Podcast Editor Linda Chu, MD and guests discuss recently published research in Radiology. Subscribe today on Apple Podcasts, Google Play, Spotify, or ask Alexa to "play Radiology podcasts on TuneIn".

Drs. Sörensen and Johnsson et al secondarily analyzed pulmonary nodule prevalence at prospective CT in the SCAPIS cohort...
02/02/2026

Drs. Sörensen and Johnsson et al secondarily analyzed pulmonary nodule prevalence at prospective CT in the SCAPIS cohort, which increased 32% to 38% with smoking, with 6% requiring follow up, in line with prior European and Asian studies. https://bit.ly/4rlxc5k

AI-measured myosteatosis in CAC CT scans strongly predicted future diagnosed COPD independently of known risk factors. h...
02/01/2026

AI-measured myosteatosis in CAC CT scans strongly predicted future diagnosed COPD independently of known risk factors. https://bit.ly/4amCurg

CT-based radiomic model effectively predicted neoadjuvant chemoimmunotherapy response in patients with esophageal squamo...
01/31/2026

CT-based radiomic model effectively predicted neoadjuvant chemoimmunotherapy response in patients with esophageal squamous cell carcinoma. https://bit.ly/3NMekxK

Should we screen for lung cancer in individuals who have never smoked, particularly of East Asian descent? Dr. Song and ...
01/30/2026

Should we screen for lung cancer in individuals who have never smoked, particularly of East Asian descent? Dr. Song and colleagues review the evidence and advocate for personalized care to minimize unnecessary radiation and overtreatment. https://bit.ly/4q0zPIm

Early histopathologic confirmation of mucormycosis is key. See the CT, MRI, and pathology of an isolated hepatic mucor i...
01/29/2026

Early histopathologic confirmation of mucormycosis is key. See the CT, MRI, and pathology of an isolated hepatic mucor in a patient with B-ALL, in whom rapid diagnosis and resection led to hematologic remission and no radiologic recurrence. https://bit.ly/3LQIKyk

🚨 A new episode of the Radiology podcast is now available! 🚨 Dr Linda Chu and co-hosts Drs Celina Jo, Sid Dogra, Lauren ...
01/27/2026

🚨 A new episode of the Radiology podcast is now available! 🚨 Dr Linda Chu and co-hosts Drs Celina Jo, Sid Dogra, Lauren Kim, and Refky Nicola review the most cited Radiology articles of 2025 and discuss the research shaping the field.

Radiology Podcast Editor Linda Chu, MD and guests discuss recently published research in Radiology. Subscribe today on Apple Podcasts, Google Play, Spotify, or ask Alexa to "play Radiology podcasts on TuneIn".

Address

820 Jorie Boulevard
Oak Brook, IL
60523

Opening Hours

Monday 8am - 4pm
Tuesday 8am - 4pm
Wednesday 8am - 4pm
Thursday 8am - 4pm
Friday 8am - 4pm

Telephone

+16305712670

Alerts

Be the first to know and let us send you an email when Radiology (RSNA Journal) posts news and promotions. Your email address will not be used for any other purpose, and you can unsubscribe at any time.

Contact The Practice

Send a message to Radiology (RSNA Journal):

Share

Share on Facebook Share on Twitter Share on LinkedIn
Share on Pinterest Share on Reddit Share via Email
Share on WhatsApp Share on Instagram Share on Telegram