🌟 Member Spotlight What does it mean to receive the #NASCI Rising Star Fellowship Award? Our 2025 Awardee @mastrodicasamd.bsky.social reflects on how NASCI shaped his career, what this recognition means, and why early-career members should apply. 👉 Read more: tinyurl.com/4ae4nkud

1/2) A 32-year-old woman was referred for preoperative assessment before cholecystectomy after her electrocardiogram showed abnormalities in the setting of a 5-year history of palpitations. What are the findings? What is the diagnosis? #InTrainingRCTI #ImagesInRCTI @rsnasky.bsky.social

🏆Proud to see our scientific statement on AI in cardiac CT & MRI🫀🤖 recognized as a Top Publication in @rsnasky.bsky.social Most cited ✅ Most downloaded ✅ Thank you to my co-authors and to everyone who read, cited, and discussed this work. @marlyvanassen.bsky.social @katehanneman.bsky.social

New @RadiologyCTI publication alert 🚨from @UoLCVS pubs.rsna.org/doi/10.1148/... Diastolic function can be assessed with 🫀 MRI, but what if MRI feature tracking (FT) was able to provide metrics that correlate with diastolic dysfunction severity? #InTrainingRCTI #TweetorialRCTI

🫀🤖 6-month update on our @rsnasky.bsky.social scientific statement on the use of AI in cardiac CT and MRI: ➡️ 8,000+ downloads📈 ➡️ Top 5% @altmetricreal.bsky.social score ➡️ inaugural Best Practice paper Grateful to co-authors & endorsing societies. ⬇️ Download it here shorturl.at/F40Ig

Big news! 📢 All 5 RSNA journals saw an increase in their 2024 Impact Factors and are ranked in the top quartile in Radiology, Nuclear Medicine, and Medical Imaging. A huge congratulations to our editors, reviewers, and staff who made this achievement possible!

A new study finds one of the most cited #AI models used to scan chest x-rays doesn’t accurately detect potentially life-threatening diseases in marginalized groups, including women and Black people. scim.ag/42uhnPO

AI models miss disease in Black and female patients

Analysis of chest x-rays underscores need for monitoring artificial intelligence tools for bias, experts say

scim.ag

Do foundation models in medical imaging see everyone fairly?🤔 Excited to share our new Science Advances paper uncovering & auditing demographic biases of expert-level VLMs, and comparing to board-certified radiologists🧑‍⚕️ 📄science.org/doi/10.1126/sciadv.adq0305 💻github.com/YyzHarry/vlm-fairness (1/)

Excited to share this multi-society statement on the use of #AI in cardiac CT and MRI ⬇️ pubs.rsna.org/doi/10.1148/... @marlyvanassen.bsky.social @merelhuisman.bsky.social @cmrguy.bsky.social @lucasabascal.bsky.social @scct-heart.bsky.social @scmrorg.bsky.social @rsnasky.bsky.social @siim.org #RadSky