@SNU_Rad

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

 Jongno-gu, Seoul, Korea
snurad.snu.ac.kr
Joined March 2021
  • Tweets151
  • Following10
  • Followers161
23Media
Assessing the prognostic value of CXR-Age model in a large test cohort doi.org/10.1148/ryai.230433 @SNU_Rad #Aging #mortality #AI
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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. pubs.rsna.org/doi/10.1148/ra… @SuMinHa2 @jungmin_chang @snubreast @Heera_Yoen

Screening Outcomes of Mammography with AI in Dense Breasts: A Comparative Study with Supplemental...

Supplemental screening US demonstrated additional node-negative early breast cancers that were overlooked by mammography and artificial intelligence in women with dense breasts, while increasing fa...

pubs.rsna.org
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SNU Radiology retweeted
Radiology@radiology_rsna
18 Apr 2024
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 bit.ly/3xwwFqk
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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. doi.org/10.1148/radiol.23070…
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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! pubs.rsna.org/doi/10.1148/ra…
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Compared with standard-dose liver CT, low-dose liver CT with #DeepLearning reconstruction reduced image noise doi.org/10.1148/ryai.230192 @SNU_Rad @snuh_official #AbdRad #radiology #MachineLearning
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#DeepLearning technology can boost the role of CXR to detect #TB detection in resource-constrained countries doi.org/10.1148/ryai.230327 @SNU_Rad @FINDdx @CDC_TB #tuberculosis #CXR #ML
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SNU Radiology retweeted
Radiology@radiology_rsna
8 Dec 2023
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 bit.ly/3Guc1s3
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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!!
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SNU Radiology retweeted
Taehee Lee@tlee_rad
30 Nov 2023
What an amazing experience at #RSNA23! Four radiology residents from @SNU_Rad.
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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 ajronline.org/doi/10.2214/AJ…
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SNU Radiology retweeted
Radiology@radiology_rsna
6 Nov 2023
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 bit.ly/3QE4fBX
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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 pubs.rsna.org/doi/10.1148/ra…
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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!! cirsecongress.cirse.org/prog…
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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
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SNU Radiology retweeted
AJR@AJR_Radiology
15 Sep 2023
Automated AI identification of improper endotracheal tube position on chest radiograph may allow earlier repositioning and thereby reduce complications. ajronline.org/doi/10.2214/AJ…
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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 ajronline.org/doi/10.2214/AJ…
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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 pubs.rsna.org/doi/epdf/10.11…
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"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 interestingengineering.com/h…

Only high-performance AI programs can improve lung cancer detection, finds study

Clinically appropriate and high-accuracy AI can enhance medical diagnosis. However, not all AI programs meet these criteria, limiting their usefulness for radiologists in detecting lung cancer.

interestingengineering.com
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SNU Radiology retweeted
Kevin Zhang@KZhangPhysics
29 Jun 2023
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 pubs.rsna.org/doi/10.1148/ra…
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