Andrew Lin
@DrAndrewLin
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Cardiologist & Postdoctoral Researcher trying to better understand coronary plaque through imaging, AI & data science | @CedarsSinai @BartsHospital @MonashHeart
Melbourne-Los Angeles-London
Joined December 2020
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: @damini_dey @imagingmedsci @MarcDweck @ProfSNicholls @Steph_Achenbach
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RT @JACCJournals: #JACCIMG honors Drs. Márton Kolossváry & Andrew Lin with the Jagat Narula Award for their groundbreaking research on coro….
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RT @JACCJournals: Radiomics – seeing deeper into CCT plaque? Radiomics-based precision phenotyping of coronary plaque morphology improved p….
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RT @JACCJournals: Higher density, lower risk #cvCAD plaque? Higher #CAC density confers a lower risk of future #CVD events with a ~20% lowe….
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RT @MKolossvary: Can #radiomic phenotypes help improve MACE prediction beyond plaque burden? Does plaque morphology play a role in long-ter….
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RT @BrunoLimaMDPhD: Dr Andrew Lin (@DrAndrewLin) from @MonashUni showing that inflammation inhibits local adipogenesis in pericoronary adip….
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RT @David_Ouyang: We are excited to announce that our blinded randomized clinical trial of AI LVEF (EchoNet-Dynamic) has been published in….
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RT @CircImaging: Save the date for the next #CircImgJC! Weds, Nov 2 at 3PM ET with @DrAndrewLin @damini_dey and @AllisonGHaysMD @cshenoy3 m….
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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.
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
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RT @MKolossvary: #PCAT is considered a marker of inflammation on #YesCCT But do associations with #PCAT persist if you correct your models….
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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.
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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Glad to give an update on the Australian experience and future directions @Dr_JYounger @appropriateuse @DennisTLWong @AIhdayhid @ProfSNicholls @VicHeartInst.
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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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RT @RonBlankstein: Key message from #SCCT2022: Substantial growth of Cardiac CT around the globe! . Fueled by innovations, scientific data,….
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RT @iamritu: @ToddVillinesMD #Topten 📝s #SCCT2022 .6. #DeepLearning Plaque volume 🆚 IVUS 🆚 expert :DL rapid (<6 sec!) assessment of plaque….
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RT @MKolossvary: After a very successful first volume, with @damini_dey and @DrAndrewLin we are inviting everyone to consider submitting t….
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RT @JACCJournals: Using #AI radiomics to automate the identification of culprit plaque in #cvAMI? In this study, culprit and nonculprit les….
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@ACCinTouch @damini_dey @nipunmanral @Piotr_JSlomka @MarcDweck @imagingmedsci @ProfSNicholls 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:.
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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.
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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RT @MKolossvary: Get up to date with what happened last year in the field of CCT! What a year!!!.
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RT @TCTMD_Yael: An AI-based tool can rapidly and accurately measure plaque volume and stenosis severity from coronary CTA images in patient….
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