Constantine Tarabanis, MD

Struggling a bit (like me) with the #ACC26 app? We'll make it easy for you - check out our @MACE_Lab_AI ACC content below! @DrCardioCon @alalusim_md @ShinoKany @MGHHeartHealth @broadinstitute @broad_ml4h @patrick_ellinor

Recent trials suggest that digitalis may benefit selected symptomatic #HFrEF patients, but modest effects, safety, and fragility warrant caution @shaan_khurshid @DrCardioCon @GivertzMichael ahajrnls.org/47emhCF

Our home-grown AF from Sinus AI prediction model published today in #EHJ digital health. tldr: We reach AUC 0.9 that holds on external validation across continents!💥 @ehj_ed @nyuniversity @nyulangone @DrCardioCon Read here: academic.oup.com/ehjdh/article/…

Excited to share our new study! @JAMAPsych @heffron_sean @NYUCVDPrevent @YaleIMed @TradIMYale Meta-Analysis looking at Suicide and Self-harm events in patient with Obesity or Diabetes taking GLP1-RA Link: jamanetwork.com/journals/jamap…

New paper out today! TLDR: We use special self supervised learning architecture called VICReg, invented by @ylecun to solve the problem of insufficient labeled data We show that real prevalence of "rare" diseases may be much higher than perceived 😱 nature.com/articles/s4159…

AI provides a universal framework that leverages data and compute at scale to uncover higher-order patterns Today, @arcinstitute in collaboration with @nvidia releases Evo 2—a fully open source biological foundation model trained on genomes spanning the entire tree of life 🧵

A multimodal foundation model for medical images from 15 million image-text pairings ai.nejm.org/doi/full/10.10… @NEJM_AI open-source, open-access paper @hoifungpoon @MSFTResearch

A randomized trial of tailored A.I.-guided ablation of atrial fibrillation vs standard-of-care, anatomical ablation demonstrated superiority of AI guidance nature.com/articles/s4159… @NatureMedicine

1/n We are excited to announce EchoPrime – the first echocardiography AI model capable of evaluating a full transthoracic echocardiogram study, identify the most relevant videos, and produce a comprehensive interpretation! Great work lead by @milos_ai, EchoPrime is the largest and most complex #echofirst AI model yet, trained on 10x the data of existing models.

Professor Charged for Operating Multimillion-Dollar Grant Fraud Scheme Wang allegedly engaged in a scheme to fabricate and falsify scientific data in grant applications made to the NIH on behalf of himself and the biopharmaceutical company. $SAVA justice.gov/opa/pr/profess…

Prospective RCT of AI-Enhanced ECG for STEMI Activation @NEJM_AI ai.nejm.org/doi/full/10.10… Excellent trial building upon and complementing recent work in @NatureMedicine nature.com/articles/s4159… Excellent editorial by @RobertAvramMD and @wfearonmd ai.nejm.org/doi/full/10.10…

AI in 🫀 🎉🎉 Our 2nd AI-ECG model dealing with the QT interval, this time for diLQTS ✅ safe prescribing in the outpatient setting. Reproducible + Standardized nature of ECGs can make them a better input for medical AI models than poorly curated EMR tabular data 📊.

Delighted to share ✨Med-Gemini✨ - our new family of multimodal models for medicine unlocking new possibilities for health - arxiv.org/pdf/2404.18416 More accurate multimodal conversations about medical images🩻, surgical videos📽️, genomics🧬, ultra-long health records📚, ECGs🫀 & more with state-of-art performance across multiple benchmarks More accurate, up-to-date answers to medical questions with advanced reasoning and intelligent use of web-search Long-context abilities. Summaries or referral letters from long health records, analyses of dozens of long research PDFs & more (1/6)

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%).

AI-ECG RCT Alert: pts with ↑ mortality risk 1o endpoint: ↓ all cause mortality Consent: physicians only Generalizability limitations, but supporting the value of AI models based on standardized & reproducible inputs (ECG>EMR tabular data) nature.com/articles/s4159…

Be skeptical of the findings in single-centre RCTs of critically ill patients published in high-impact journals claiming a mortality benefit. Only 1 out of 16 RCTs were replicated in a multi-centred RCT. ccforum.biomedcentral.com/articles/10.11… @First10EM @KirstyChallen @drjohnm @adamcifu

🚨Stunning!🚨 REVERSAL in the decline of heart failure ☠️ in the US 1999-2021 1999-2005 ⬇️ ☠️ 2005-2012 ⬇️ ☠️ 2012-2019 ⬆️ ☠️ 2019-2021 ⬆️⬆️☠️ Age-adjusted HF related ☠️ rates higher in 2021 vs 1999! WT😱🆘 jamanetwork.com/journals/jamac… @JAMACardio @FudimMarat

A great weekend welcoming the new fellows to Brigham Heart! We cannot wait for you all to join us beginning in July! Welcome to Brigham Fellows 🫀🫀

#AI for rare arrhythmia disorders. Inspired by the work of @ylecun on Self-Supervised Learning, we adapted VICReg, an Energy Based Model to learn deep #EKG representations. Pre-training with SSL is a promising strategy for rare disease detection. @nyulangone @nyuniversity 👇

Congratulations to our newest Cardiology fellows joining the Brigham Fellows in the coming year!! We are so excited to welcome you to Brigham Heart!!! 🥳🥳🫀🫀