Abdominal Imaging/ Informatics Fellow @UABRadiology ☢ 🏊♂️🤽
Birmingham, AL
Joined August 2020
- Tweets116
- Following179
- Followers171
- Likes380
Asser Abou Elkassem retweeted
🚨 It’s happening tomorrow! There’s still time to sign up!
tinyurl.com/SARRFSWEBINAR
📣 Save the date!
Join us for the next SAR RFS Webinar: Guide to Fellowship Application 🎓🩻
Hear directly from fellowship program directors and get ready for the application process!
📅 Sept 23 | ⏰ 8 PM ET / 7 PM CT
🔗 Register: tinyurl.com/SARRFSWEBINAR
Asser Abou Elkassem retweeted
🚨 Only a few hours to go!
You can still sign up for tonight’s webinar at 8 PM ET! 🩻
🔗 tinyurl.com/yxsk88j7
📣 Tomorrow! Join us for our next @SAR_RFS webinar 👋
Getting ready for call? 🩻 Come review cases and pick up practical tips & strategies to help you get through your call shifts.
🗓️ Aug 19
⏰ 8 PM ET
🔗 tinyurl.com/yxsk88j7
#RadRes #Radiology #MedTwitter
Asser Abou Elkassem retweeted
"The brain emerges as both battleground and masterpiece—a place where beauty and struggle become inseparable." created by Fatt Yang Chew, MD of Taichung, Taiwan. Discover this “Art of Imaging” article in the latest issue of #RadAdv.
@RSNA @OxfordJournals @SusannaLeeRad
doi.org/10.1093/radadv/umag0…
Asser Abou Elkassem retweeted
A commercially available tool for opportunistic screening for cardiomegaly on noncontrast chest CT's. Lung cancer screening doesn't have to be just about the lungs! @RSNA @OxfordJournals #RadAdv
AI-enabled cardiac volumetry can identify cardiomegaly from non-contrast, non-gated chest CT scans with good diagnostic performance and excellent repeatability.
@RSNA @OxfordJournals @SusannaLeeRad
doi.org/10.1093/radadv/umag0…
Asser Abou Elkassem retweeted
This study collects responses directly from the public on whether they prefer LLM summaries of lung cancer screening reports. They do! And those with the lowest healthcare literacy seem benefit the most. @RSNA @OxfordJournals @UCSFimaging @sohn522
In a vignette-based survey of U.S. general population, LLM-generated summaries of lung cancer screening reports significantly improved patient comprehension and lowered anxiety especially for those with lower health literacy.
@RSNA @OxfordJournals @SusannaLeeRad
doi.org/10.1093/radadv/umag0…
Asser Abou Elkassem retweeted
Art of Imaging depiction illustrating neuropathology by a neuroimaging scientist! @RSNA #RadAdv @OxfordJournals @MayoRadiology
"Human-like forms of leaking cerebrospinal fluid pull the brain downward, reflecting brain sagging and tonsillar herniation on MRI." created by Parnian Habibi, MD of Rochester, MN, USA. Discover this “Art of Imaging” article in the latest issue of #RadAdv.
@RSNA @OxfordJournals @SusannaLeeRad
doi.org/10.1093/radadv/umaf0…
Asser Abou Elkassem retweeted
How to implement a radiologist-led whole body MRI screening program! #RadAdv @RSNA @OxfordJournals
doi.org/10.1093/radadv/umag0…
Asser Abou Elkassem retweeted
#RadAdv is recruiting trainee editors for the coming academic year. Those interested in helping shape the future of radiology should apply. Deadline is May 3!
@rsna @OxfordJournals
tinyurl.com/yc68j588
Applications are open for RSNA Journals Trainee Editorial Boards.
Gain real experience in peer review, editing and scientific publishing while building your network in academic radiology.
Apply today: bit.ly/3J2GLj3
#RadInTraining
Asser Abou Elkassem retweeted
For most patients undergoing 90Y-SIRT to treat liver tumors, lung shunt fraction and lung dose are not the limiting factor. This model identifies those cases where MAA SPECT can safely be omitted using the pretreatment CT! @RSNA @OxfordJournals #RadAdv
A novel lung shunt fraction (LSF) metric can reliably identify 90Y-SIRT cases where MAA-based LSF determination may be omitted while preserving treatment planning accuracy.
@RSNA @OxfordJournals @SusannaLeeRad
doi.org/10.1093/radadv/umag0…
Asser Abou Elkassem retweeted
If you’re at @SocietyAbdRad 2026 Annual Meeting, don’t forget to check out our educational exhibit "Photon-Counting CT to Evaluate Patients with Bowel Ischemia"
@Asser_AE @desireembham @UABRadiology @uabRadResidents @SAR_RFS #SAR26
Asser Abou Elkassem retweeted
A nice example of how model performance can be measurably improved by enriching with external datasets of positives! #RadAdv @RSNA @OxfordJournals
DeepPNP demonstrated superior accuracy for pulmonary nodule malignancy risk prediction compared with established malignancy risk models, with modest performance gains from enriched training data.
@RSNA @OxfordJournals @SusannaLeeRad
doi.org/10.1093/radadv/umag0…
Asser Abou Elkassem retweeted
Another day, another outstanding @SAR_RFS
officer to introduce! Read below for the great advice
@Asser_AE has for our incoming officers.
#radres Don't forget to apply by 3/9- here is the link: shorturl.at/2Uqbe
Asser Abou Elkassem retweeted
Patient with slow GI bleed and a series of exams (endoscopy, angiography, nuclear medicine) all negative for identifying the origin. Ferumoxytol MRI may now be an option for locating the bleeding source! @RSNA @OxfordJournals @MayoRadiology
Ferumoxytol-enhanced MRI identifies active gastrointestinal tract bleeding and location in patients who have otherwise undergone extensive negative conventional workup!
@RSNA @OxfordJournals @SusannaLeeRad
doi.org/10.1093/radadv/umaf0…
Asser Abou Elkassem retweeted
Complex cyst vs. solid mass on breast ultrasound. Sort lag spatial coherence ultrasound performs more accurately and reproducibly than conventional B-mode images! @RSNA @OxfordJournals #RadAdv
Differentiating complex cyst from solid mass on breast ultrasound. Generalized contrast-to-noise-ratio applied to short-lag spatial coherence ultrasound can improve on conventional qualitative readings of B-mode images. @RSNA @OxfordJournals @SusannaLeeRad
doi.org/10.1093/radadv/umaf0…
Asser Abou Elkassem retweeted
CT reimagined. Blending machine vision with metaphor! Discover this “Art of Imaging” and its creator in the latest issue of #RadAdv @RSNA @OxfordJournals @SusannaLeeRad doi.org/10.1093/radadv/umaf0…
Asser Abou Elkassem retweeted
Silicon-based detectors are the next generation for photon counting CT. With prototypes undergoing development for regulatory approval, it offers more spectral and spatial resolution than the current cadmium telluride detectors in clinical use! @RSNA @OxfordJournals
This #RadAdv article illustrates the clinical potential of a deep silicon-based photon-counting CT (dSi-PCCT) for quantifying liver fat. In silico simulations, utilizing both geometric phantoms and realistic human models demonstrates it is ready for in human testing. @RSNA @OxfordJournals @SusannaLeeRad
bit.ly/4pEx689
Asser Abou Elkassem retweeted
#RadRes Are you attending #SAR2026?
Be sure to join us for the SAR RFS Annual Dinner and Career Panel featuring program directors in Abdominal Radiology!
Register here: abdominalradiology.org/2026-…
Asser Abou Elkassem retweeted
Ultrasound shear wave elastography for monitoring fatty liver disease. Technical breakthroughs such as this continue toward making the test every more reliable, accessible and safe! @RSNA @mghradchiefs #RadAdv @OxfordJournals
Liver ultrasound shear wave elastography using mechanical index above regulatory limits improves image quality and requires fewer attempts than conventional elastography, without causing liver injury @MGHImaging @RSNA #RadAdv @OxfordJournals @SusannaLeeRad doi.org/10.1093/radadv/umaf0…
Asser Abou Elkassem retweeted
For treating cancer, interventional radiology has developed many new tools. It's no longer just thermal ablation or embolization. This article summarizes the new technologies and their clinical applications.
@RSNA #radadv @OxfordJournals
This @RSNA #RadAdv article reviews emerging tumor ablation techniques including irreversible electroporation, pulsed electric field, HIFU, and histotripsy joining the growing armamentarium of interventional oncology @OxfordJournals @SusannaLeeRad doi.org/10.1093/radadv/umaf0…
Asser Abou Elkassem retweeted
Anticipating adverse pregnancy outcomes in utero. A machine learning model combing the MRI, ultrasound and clinical data is much more accurate than the conventional ultrasound or clinical features alone! @RSNA @OxfordJournals #RadAdv
Fetal growth restriction/small for gestational age pregnancies. Machine learning integration of MRI, ultrasound, and clinical data improves outcome prediction over conventional ultrasound only approaches.
#RadAdv @RSNA @OxfordJournals @SusannaLeeRad
doi.org/10.1093/radadv/umaf0…
