SNU Radiology

Official Twitter of Department of Radiology, Seoul National University College of Medicine

[Radiology: Artificial Intelligence @Radiology_AI]

Assessing the prognostic value of CXR-Age model in a large test cohort https://t.co/rN23BUMEKF @SNU_Rad #Aging #mortality #AI

[SNU Radiology @SNU_Rad]

Supplemental screening US demonstrated additional early breast cancers overlooked by mammography and AI in women with dense breasts. Published in @radiology_rsna by Pfs. Ha, Chang and colleagues.
https://t.co/5dfhlXjQss

@SuMinHa2 @jungmin_chang @snubreast @Heera_Yoen

[Radiology @radiology_rsna]

A CT-based AI model identified individuals with stage IA non–small cell lung cancer who underwent segmentectomy and were at high risk for recurrence and low overall survival. @SNU_Rad https://t.co/Hqkc7ojnFu

[SNU Radiology @SNU_Rad]

Increased BBB permeability in patients with autoimmune encephalitis demonstrated by dynamic contrast-enhanced MRI. Original article of Pfs. Roh-Eul Yoo, Seung Hong Choi @SeungHongChoi2, and colleagues on-line published in @radiology_rsna.

https://t.co/3Ox5KAlyZf

[SNU Radiology @SNU_Rad]

Effectiveness of COVID-19 vaccines against severe clinical outcome and severe pneumonia gradually declined over time.
Check the article by Pfs. Kwang Nam Jin, Soon Ho Yoon and colleagues, on-line published in @radiology_rsna today!

https://t.co/Exp505OnTs

[Radiology: Artificial Intelligence @Radiology_AI]

Compared with standard-dose liver CT, low-dose liver CT with #DeepLearning reconstruction reduced image noise https://t.co/67RqMhu5ce @SNU_Rad @snuh_official #AbdRad #radiology #MachineLearning

[Radiology: Artificial Intelligence @Radiology_AI]

#DeepLearning technology can boost the role of CXR to detect #TB detection in resource-constrained countries https://t.co/SKhLKJWMaR @SNU_Rad @FINDdx @CDC_TB #tuberculosis #CXR #ML

[Radiology @radiology_rsna]

In this targeted editorial, Drs. Ha and Chang give insight on different breast cancer screening strategies, including the DBT plus SM protocol in the subanalysis of the TOSYMA trial by Weigel and Heindel et al. @SNU_Rad @snubreast https://t.co/2cWfokMFIC

[SNU Radiology @SNU_Rad]

Professor Jeong Min Lee, the president of Korean Society of Radiology, was elected as an honorary member of the Chinese Society of Radiology, in Chinese Congress of Radiology 2023. Congrats!!

[Taehee Lee @tlee_rad]

What an amazing experience at #RSNA23!
Four radiology residents from @SNU_Rad.

[Andrew Rosenkrantz @arosenkrantzmd]

New @AJR_Radiology Accepted Manuscript:

"Usual Interstitial Pneumonia: Associations With Complications After Percutaneous Transthoracic Needle Lung Biopsy"

By Drs Park, Lee, Park, & team @SNU_Rad

https://t.co/znBhi89dKY

[Radiology @radiology_rsna]

In this prospective study, the presence of diffuse thyroid disease and intratumoral vascularity at US helped accurately predict tumor progression in participants with low-risk papillary thyroid microcarcinoma during active surveillance. @SNU_Rad https://t.co/N2zbZNrH2v

[SNU Radiology @SNU_Rad]

Presence of diffuse thyroid disease and intratumoral vascularity at US were predictors of progression in low-risk papillary thyroid microcarcinoma. Online-published in @radiology_rsna this week, by Pfs. Ji Ye Lee, Ji-hoon Kim and colleagues
https://t.co/jorMTZhywj

[SNU Radiology @SNU_Rad]

The poster by Pf. Hyo Choel Kim and colleagues, "Superselective radioembolization for hepatocellular carcinoma: radiation segmentectomy and beyond" awarded Magna Cum Laude in CIRSE 2023!!
https://t.co/X1YJjGWYkg

[SNU Radiology @SNU_Rad]

2023 KSR academic/educational award winners in @SNU_Rad

Best Publication: JG Nam, JS Bae
KSR-Accuzen Young Medical Researcher Award: DH Lee
Winners of the resident examination: J Song, GD Jo
Contribution to E-learning: YH Choi, DH Lee
Contribution to Education: EA Park

[AJR @AJR_Radiology]

Automated AI identification of improper endotracheal tube position on chest radiograph may allow earlier repositioning and thereby reduce complications.

https://t.co/1B4IdFviFZ

[Andrew Rosenkrantz @arosenkrantzmd]

New @AJR_Radiology Accepted Manuscript:

"Artificial Intelligence for Assessment of Endotracheal Tube Position on Chest Radiographs: Validation in Patients From Two Institutions"

By Drs An, Hwang, & team @SeoulNatlUni

https://t.co/BWArzzcPxr

[SNU Radiology @SNU_Rad]

Real-time ray tracing can demonstrate realistic 3D images: Images produces from a CT scan in a 6-day-old newborn with coarctation of aorta.
On-line published in @RadiologyCTI this week by Pf. Soon Ho Yoon
https://t.co/7DLkKzzBTc

[SNU Radiology @SNU_Rad]

"Only high-performance AI can improve radiologists' performance." Please take a look at this article in @IntEngineering about the study by Pfs. Jong Hyuk Lee and Chang Min Park .

@JonghyukLee10 @radiology_rsna @RSNA

https://t.co/QvImwLRP4N

[Kevin Zhang @KZhangPhysics]

Can AI algorithm help radiologists improve lung nodule detection performance?
To learn human-AI interaction, check out this #InAMinute video by #RadInTraining @radiology_rsna @RadiologyEditor @SNU_Rad https://t.co/uMicYnZLUE