Ultrasound Research Lab@Penn (Sehgal Lab)

[Ultrasound Research Lab@Penn (Sehgal Lab) @URLatPenn]

Check our latest article published @JACEPOpen on quantitative lung pleural line characterization for #COVID19 diagnosis https://t.co/q6RxRpUSuv #Corona #COVID #healthcare @LsultanMD @yaletung @PennRadiology @PennMedicine @PennMedEVDCSO #POCUS @ButterflyNetInc

[Ultrasound Research Lab@Penn (Sehgal Lab) @URLatPenn]

Ultrasound radiomics in pediatric imaging

[Laith Riyadh Sultan @LsultanMD]

Sharing our novel article just published: Ultrasound Radiomics in Pediatric Imaging: Current Applications, Challenges, and Future Directions Toward Clinical Implementation https://t.co/MDtl8O6u0g #mdpidiagnostics via @diagnostic_mdpi @oterocobo @CHOPRadiology #radiomics #AI #healthcare @MaryamMdAl @PennRadiology

[Sensors MDPI @Sensors_MDPI]

Advanced Techniques for Liver Fibrosis Detection: Spectral Photoacoustic Imaging and Superpixel Photoacoustic Unmixing Analysis for Collagen Tracking
https://t.co/ASEjrNytwu
#liver_fibrosis #collagen
Our study introduces cutting-edge photoacoustic imaging tools

[Ultrasound Research Lab@Penn (Sehgal Lab) @URLatPenn]

Brain ultrasound radiomics identify subtle differences in HIV exposed children’s brain @LsultanMD #HIV #ultrasound
https://t.co/780T29Pqth

[Ultrasound Research Lab@Penn (Sehgal Lab) @URLatPenn]

ChatGPT can be used to detect liver disease with ultrasound. @OpenAI @LsultanMD @jmirpub @CHOPRadiology @PennRadiology #ChatGPT #healthcare @sama
Please check out our article https://t.co/rFXtfOXkvM

[Children's Hospital @ChildrensPhila]

Our researchers found that CHATGPT-4 can assist in liver ultrasound analysis by accurately distinguishing between fatty liver, fibrosis and healthy tissue. The large language model's speed and scalability show strong promise to assist with image analysis: https://t.co/ZZUGVQ3MGY.

[Laith Riyadh Sultan @LsultanMD]

🎉 Congratulations to our own Tatiana Morales for being awarded Summa Cum Laude at the 50th Annual Pendergrass Symposium! @CHOPRadiology @PennRadiology @oterocobo
Her poster, titled “Association of CEUS Perfusion Parameters with Histopathology in Pediatric Kidney Transplants,” was selected for this top honor.

📍 Join us at the poster session this afternoon to learn more about this outstanding work!

[JMIR Publications @jmirpub]

Study Examines Use of ChatGPT-4 for Ultrasound-based Liver Diagnostics https://t.co/wKRK89jOdD (mentions @jmirpub)

[Laith Riyadh Sultan @LsultanMD]

Check out our new article @jmirpub evaluating #ChatGPT4o for liver disease diagnosis on ultrasound images. Read about advantages and challenges of foundational #LLM in medical imaging. A collaboration between CHOP radiology @CHOPRadiology @CHOP_Research @ChildrensPhila and Penn Radiology @PennRadiology @KassaDarge @SudhaAnupindi @oterocobo #AI #healthcare #FutureOfAI @OpenAI @sama @TheRealAdamG @MilesKWang
@itnEditor @davidnield

https://t.co/6b2TAJWFtu

[Ultrasound Research Lab@Penn (Sehgal Lab) @URLatPenn]

Hot off press! ChatGPT-4 for liver disease diagnosis by ultraosound. @LsultanMD @PennRadiology @CHOPRadiology
@OpenAI @UPennIBI #OpenAI

Check out this new article https://t.co/rFXtfOXSlk

[Ultrasound Research Lab@Penn (Sehgal Lab) @URLatPenn]

Just published: Hydralazine‐augmented contrast ultrasound imaging improves the detection of hepatocellular carcinoma https://t.co/DYwfYjjptO @VisualSonics

[Laith Riyadh Sultan @LsultanMD]

Just published: Hydralazine‐augmented contrast ultrasound imaging improves the detection of hepatocellular carcinoma https://t.co/06vJQ3ajgl. @URLatPenn @MBKarmacharya @Maryam34MD @CHOPRadiology @PennRadiology #TechTwitter #healthcare #ChatGPT

[Ultrasound Research Lab@Penn (Sehgal Lab) @URLatPenn]

Please check our new publication @diagnostic_mdpi about machine deep learning and ultrasound radiomics for liver fibrosis detection at an early stage @Maryam34MD @LsultanMD @sagreiya @PennRadiology @PennMedNews @PennMDForum #Health #techno

[Diagnostics MDPI @diagnostic_mdpi]

The use of quantitative ultrasound with #machine/deep learning methods improves the detection of early fibrosis. More complex methods like multi-layer perception yielded high performance but no significant improvement over simpler ML methods.
🔗https://t.co/QrTdX0tZDt

[Ultrasound Research Lab@Penn (Sehgal Lab) @URLatPenn]

Hot of press! Our new paper published @diagnostic_mdpi Ultrasound Radiomics and deep learning for early Detection of Liver Fibrosis https://t.co/MG7ySemmmG #mdpidiagnostics via @MDPIOpenAccess @Maryam34MD @LsultanMD @sagreiya @PennRadiology @UPennIBI @PennMedicine @VisualSonics

[Ultrasound Research Lab@Penn (Sehgal Lab) @URLatPenn]

Congratulations to our own @Maryam34MD for the acceptance of her first paper about building a predictive diagnostic model for liver fibrosis by quantitative US and deep learning learning @diagnostic_mdpi @PennRadiology @LsultanMD @sagreiya @VisualSonics @MDPIOpenAccess

[Ultrasound Research Lab@Penn (Sehgal Lab) @URLatPenn]

Congratulations to @ryanmorrison193 for his poster presentation @sruradiology @PennRadiology

[Ryan Morrison @Dr_RyanMorrison]

My #SRU22 poster presents an inexpensive upgrade for a diagnostic ultrasound machine to add THERAPUTIC, cancer-killing capabilities utilizing contrast-enhanced ultrasound

Published, Journal of Medical Devices: https://t.co/w4wQrSIHnu

@sruradiology @URLatPenn

[Ultrasound Research Lab@Penn (Sehgal Lab) @URLatPenn]

#CMIMI22 please check our own ⁦@Maryam34MD⁩ poster presentation about #machine learning for liver disease at @SIIM_Tweets CMIMI22 ⁦@LsultanMD⁩ @sagreiya @PennRadiology @VisualSonics @UPennIBI @paxerahealth #Health #TeslaAIDay https://t.co/wzeCOmBtdB

[Ultrasound Research Lab@Penn (Sehgal Lab) @URLatPenn]

#CMIMI22 please check our own @Maryam34MD poster presentation about #machine learning for liver disease at @SIIM_Tweets CMIMI22 @LsultanMD @sagreiya @PennRadiology @VisualSonics @UPennIBI @paxerahealth https://t.co/wzeCOmT459. #Health #AI #TeslaAIDay

[Ultrasound Research Lab@Penn (Sehgal Lab) @URLatPenn]

please check our latest paper! Can Sequential Images from the Same Object Be Used for Training Machine Learning Models? A Case Study for Detecting Liver Disease by Ultrasound Radiomics https://t.co/CvEbT9wSnq #mdpiai via @AI_MDPI @LsultanMD @Maryam34MD @MBKarmacharya #Health

[Ultrasound Research Lab@Penn (Sehgal Lab) @URLatPenn]

Hot off the press, check our new paper #AI #future #MedTwitter @LsultanMD @tedcary @Maryam34MD @MBKarmacharya @UPennIBI @PennRadiology @VisualSonics @paxerahealth @PM_Innovation @PennMDForum @PM_Innovation

[AI MDPI @AI_MDPI]

To guarantee the generalizability of machine learning models, and to prevent imaging data leakage, image data acquired of the same object should be tested for independence before machine learning.

Find more details here👇
https://t.co/DVnYyf3ogw

[Ultrasound Research Lab@Penn (Sehgal Lab) @URLatPenn]

Hot off the press! Can Sequential Images from Same Object Be Used for Training Machine Learning Models? A Case Study for Detecting Liver Disease by Ultrasound Radiomics https://t.co/CvEbT9wSnq #mdpiai via @AI_MDPI @LsultanMD @Maryam34MD @MBKarmacharya @PennRadiology #Health #AI