Andrew Lin

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

#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.… #ACC25 #TheFaceOfCardiology #cvMI #cvImaging @MKolossvary

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.… #JACCIMG

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.… #YesCCT #JACCIMG @DrAndrewLin

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.…

@SiddharthT22 @BWHCVImaging @harvardmed @mannan_raya @BLilleness @ArthurShiyovich @GucukEsra @jonathan_aun @Monikiii08 @TiagoLinsMD @mdicarli @RonBlankstein @DorbalaSharmila @sanjaydivakaran @ayaz_aghayev @drsumitgupta @Bweber04 @RCardoso_MD @DanielMHuck @VTaqMD Congrats Sid!

Celebrating the end of an incredible year at @BWHCVImaging @harvardmed with these unbelievably smart, energetic, positive, tirelessly hardworking, humble & selfless colleagues and friends @mannan_raya @BLilleness @ArthurShiyovich @GucukEsra @jonathan_aun @Monikiii08 @TiagoLinsMD

@David_Ouyang @NatureMedicine @CedarsSinai @StanfordMed Congratulations David and team, incredible work!

Excited to share our #echofirst foundation model is now published in @NatureMedicine! Trained on 1M @CedarsSinai A4C echo-report pairs, EchoCLIP has strong performance on wide range of cardiac diagnostic benchmarks, including LVEF in @StanfordMed videos (MAE 7.1%).

@CardioMDPhD @ASPCardio @MonteHeart @DrMichaelShapir @virani_md @damini_dey @danielbermanmd @RonBlankstein @lesleejshaw Congrats Leandro!!

Thrilled and honored on the selection to serve on the @ASPCardio Board of Directors! Very thankful to friends, colleagues, mentors and mentees that support our work at @MonteHeart @DrMichaelShapir @virani_md @damini_dey @danielbermanmd @RonBlankstein @lesleejshaw

@MdNitsche @MedUni_Wien @KardiologieWien @CardiacimagingB @LancetDigitalH Fantastic work, congrats Christian!

Delighted to share our work on AI-based detection of cardiac amyloidosis on bone scintigraphy scans. ✅Removes interrater variability ✅Works across all amyloid tracers ✅Predicts outcome @MedUni_Wien @KardiologieWien @CardiacimagingB @LancetDigitalH thelancet.com/journals/landi…

@DrMattBurrage @heartfoundation @UQMedicine @TRI_info Congrats Matt!

Huge thanks to @heartfoundation and their donors for supporting our research into new diagnostic strategies for cardiac amyloidosis. Very grateful to receive a postdoctoral fellowship and looking forward to getting started! @UQMedicine @TRI_info

@MKolossvary @CircImaging Congrats Marton!

I am honored to have been appointed as 🧮Data Science Section Editor of @CircImaging 🫀Looking forward to working for such a great journal! ahajournals.org/circimaging/ed…

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

@pieszek Congrats Konrad, fantastic work!

Our latest research published today in #EHJ shows that AI can accurately identify patients at very low risk of left atrial appendage thrombus, and that these low-risk patients could safely undergo cardioversion or catheter ablation without prior transoesophageal echocardiography

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/s4158… 1/n

@David_Ouyang @Nature @bryandhe @james_y_zou @StanfordDBDS @CedarsSinaiMed Congratulations David on this important work!

@NayAungMD @The_MRC @QMULWHRI @BartsHospital Congratulations Nay!

Ecstatic to have been awarded @The_MRC Clinician Scientist Fellowship to unravel the genetics of #HeartFailure imaging biomarkers by AI and multi-omics approaches in 1 million individuals with diverse backgrounds #AI #whyCMR #genomics #bioinformatics @QMULWHRI @BartsHospital

@damini_dey Congratulations Damini!

Incredibly honored to be inducted into the AIMBE College of Fellows, 2023 !

@MKolossvary @CircImaging Congrats Marton!

I'm honored to have been selected as one of the top 10 reviewers for @CircImaging for 2021-2022🎉 ahajournals.org/journal/circim…

@KegJM @moragjyoung Congratulations Kegan!

Excited to be working on this with @moragjyoung - can’t wait to see what we discover 🫀⏰

@cshenoy3 @damini_dey @AllisonGHaysMD Thank you all for the great discussion! #CircImgJC

@AllisonGHaysMD @damini_dey @cshenoy A6. The trial would then assess whether the ML score influences referral for downstream testing and revascularization, and ultimately patient outcomes. (2/2) #CircImgJC

@AllisonGHaysMD @damini_dey @cshenoy A6. One could design a pragmatic clinical trial in which patients are randomized to a group in which clinicians have access to the ML score versus a control group which is usual care. (1/2) #CircImgJC