@DrAndrewLin

Cardiologist & researcher trying to better understand coronary plaque through imaging, AI & data science | @CedarsSinai @BartsHospital @MonashHeart

 Melbourne-Los Angeles-London
Joined December 2020
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  • Following818
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9Media
In an international collaboration, we develop and validate a deep learning-based AI system for plaque quantification, stenosis grading, and risk prediction from #YesCCT Published today: thelancet.com/journals/landi… @damini_dey @imagingmedsci @MarcDweck @ProfSNicholls @Steph_Achenbach
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#JACCIMG honors Drs. Márton Kolossváry & Andrew Lin with the Jagat Narula Award for their groundbreaking research on coronary plaque radiomic phenotypes predicting fatal or nonfatal MI! 🎉 📎: jacc.org/doi/10.1016/j.jcmg.… #ACC25 #TheFaceOfCardiology #cvMI #cvImaging @MKolossvary
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Radiomics – seeing deeper into CCT plaque? Radiomics-based precision phenotyping of coronary plaque morphology improved prediction (c-statistic 0.7 to 0.74) of #cvMI by #YesCCT over & above clinical factors & plaque burden in the SCOT-HEART trial. jacc.org/doi/10.1016/j.jcmg.… #JACCIMG
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Higher density, lower risk #cvCAD plaque? Higher #CAC density confers a lower risk of future #CVD events with a ~20% lower risk for each standard deviation increase in density in this systemic review and meta-analysis jacc.org/doi/10.1016/j.jcmg.… #YesCCT #JACCIMG @DrAndrewLin
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Can #radiomic phenotypes help improve MACE prediction beyond plaque burden? Does plaque morphology play a role in long-term outcomes? Long-term SCOT-HEART analysis 👇@DrAndrewLin @damini_dey @imagingmedsci jacc.org/doi/10.1016/j.jcmg.…
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Dr Andrew Lin (@DrAndrewLin) from @MonashUni showing that inflammation inhibits local adipogenesis in pericoronary adipose tissue (PCAT) and this can be detected by AI-driven🤖algorithms on #YesCCT as an increase in CT attenuation of PCAT which improves prognosis #SCCT2023
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We are excited to announce that our blinded randomized clinical trial of AI LVEF (EchoNet-Dynamic) has been published in @nature! @bryandhe @james_y_zou @StanfordDBDS @CedarsSinaiMed nature.com/articles/s41586-0… 1/n

Blinded, randomized trial of sonographer versus AI cardiac function assessment

Nature - The impact of artificial intelligence in cardiac function assessment is evaluated by a blinded, randomized non-inferiority trial of artificial intelligence versus sonographer initial...

nature.com
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Save the date for the next #CircImgJC! Weds, Nov 2 at 3PM ET with @DrAndrewLin @damini_dey and @AllisonGHaysMD @cshenoy3 moderating. Paper: ahajournals.org/doi/10.1161/…
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Our paper now out in @CircImaging. Machine learning integration of quantitative plaque features from #YesCCT predicts ischemia by invasive FFR and ⬇️myocardial blood flow by PET. A multicenter collaboration with data from NXT & PACIFIC trials. @damini_dey @Doc_Tiger @Heart_SCCT
CircImaging@CircImaging13 Oct 2022
A machine learning score using CCTA-based quantitative plaque features accurately predicts FFR-defined ischemia and impaired PET myocardial blood flow @DrAndrewLin @Doc_Tiger @damini_dey @cshenoy3 @AllisonGHaysMD #AHAJournals ahajrnls.org/3MJz4BP
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#PCAT is considered a marker of inflammation on #YesCCT But do associations with #PCAT persist if you correct your models for potential confounders? In our analysis of >2000 patients, No... sciencedirect.com/science/ar… @DrAndrewLin @damini_dey @PalMaurovich @M_Boussoussou @Heart_SCCT
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Delighted to receive Postdoctoral Fellowship funding. Thanks to @heartfoundation for supporting our research using coronary CT and AI to better understand the effects of statins on plaques. @MonashUni @VicHeartInst @ProfSNicholls
Heart Foundation@heartfoundation5 Oct 2022
We're excited to announce our 2022 research funding portfolio! The Heart Foundation will be supporting 59 research projects, investing a total of $13.25 million into fighting the no.1 cause of death in Australia - heart disease. Read more about the projects and recipients 👇

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Great session at #SCCT2022 on global challenges in delivering #YesCCT. Common themes include advocacy, appropriate use, expanding rural access, and training technologists. @Heart_SCCT @AlohaMeaveMD @gpontone1 @james_shambrook @RonenRub1 @RitNass @ghoshhajra
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Glad to give an update on the Australian experience and future directions @Dr_JYounger @appropriateuse @DennisTLWong @AIhdayhid @ProfSNicholls @VicHeartInst
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Key message from #SCCT2022: Substantial growth of Cardiac CT around the globe! Fueled by innovations, scientific data, guidelines, and more... 👇trends in England, publications, @Heart_SCCT membership
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Replying to @ToddVillinesMD
@ToddVillinesMD #Topten 📝s #SCCT2022 6. #DeepLearning Plaque volume 🆚 IVUS 🆚 expert :DL rapid (<6 sec!) assessment of plaque volume stenosis accurate! bit.ly/3Pag8fG 7.Scot-heart CTA LAP burden & PCAT attenuation predicts risk of mi bit.ly/3RFepAQ
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After a very successful first volume, with @damini_dey and @DrAndrewLin we are inviting everyone to consider submitting their radiomic research in CVD to @FrontCVMedicine 🧪♥️🩺(IF: 6.050)
Frontiers in Cardiovascular Medicine@FrontCVMedicine26 May 2022
#CallForPapers "Radiomics in Cardiovascular Imaging, Volume II" 🗓️ 8th September 2022 Submit your paper here 👉 fro.ntiers.in/RUij
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Using #AI radiomics to automate the identification of culprit plaque in #cvAMI? In this study, culprit and nonculprit lesions in AMI have distinct radiomic signatures of high risk plaque on #YesCCT. bit.ly/3G1GnkR #JACCIMG #CardioTwitter #cvCAD #cvImaging @DrAndrewLin
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Delighted to place 2nd in YIA Clinical Investigations at #ACC22. Congratulations to all awardees on the outstanding science & innovation @ACCinTouch Thank you @damini_dey for the mentorship and our superb team @nipunmanral @Piotr_JSlomka @MarcDweck @imagingmedsci @ProfSNicholls
American College of Cardiology
@ACCinTouch4 Apr 2022
Winners of the Young Investigator Award in the Clinical Investigations category are Dr. Christopher Cheung @ChrisCheungMD (1st place) & Dr. Andrew Lin @DrAndrewLin (2nd place). #ACC22 #TheFaceOfCardiology
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Our work on an AI system for rapid plaque measurements and stenosis estimation from coronary CTA, with prognostic value and potential for future workflow implementation now published: thelancet.com/journals/landi…
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Get up to date with what happened last year in the field of CCT! What a year!!!
This Post is from an account that no longer exists. Learn more
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An AI-based tool can rapidly and accurately measure plaque volume and stenosis severity from coronary CTA images in patients w/ stable chest pain, according to new data. It also has the potential to better predict future MIs. tctmd.com/news/deep-learning… @damini_dey @toddvillinesmd
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