Constantine Tarabanis, MD

Future chief resident @NYULangone. AI-ECG research 🫀 MD @HarvardMed, BA @Harvard. Opinions my own.

[Epic @HeyEpic]

Epic AI is reducing administrative burden, and individual features are having a measurable effect.

One example: drafting hospital course notes in discharge summaries by using data already available in the patient's chart.

[Shaan Khurshid @shaan_khurshid]

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

[Circulation @CircAHA]

Recent trials suggest that digitalis may benefit selected symptomatic #HFrEF patients, but modest effects, safety, and fragility warrant caution @shaan_khurshid @DrCardioCon @GivertzMichael https://t.co/sDUiqY3McM

[Lior Jankelson @ExtraStim]

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:
https://t.co/yaCdzLuMQc

[Juan Carlos Batlle, MD @juancbatlle]

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:
https://t.co/emckeMuQO9

[Lior Jankelson @ExtraStim]

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 😱

https://t.co/JTQB1c5bIs

[Patrick Hsu @pdhsu]

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 🧵

[Eric Topol @EricTopol]

A multimodal foundation model for medical images from 15 million image-text pairings https://t.co/Xcqu4Xj3pL @NEJM_AI open-source, open-access paper
@hoifungpoon @MSFTResearch

[Eric Topol @EricTopol]

A randomized trial of tailored A.I.-guided ablation of atrial fibrillation vs standard-of-care, anatomical ablation demonstrated superiority of AI guidance
https://t.co/4Q2vJ1vECD
@NatureMedicine

[David Ouyang, MD @David_Ouyang]

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.

[Elisabeth Bik @MicrobiomDigest]

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
https://t.co/flzjofbQP6

[David Ouyang, MD @David_Ouyang]

Prospective RCT of AI-Enhanced ECG for STEMI Activation @NEJM_AI
https://t.co/PnA9VaWT0M

Excellent trial building upon and complementing recent work in @NatureMedicine https://t.co/c73WE1jaCY

Excellent editorial by @RobertAvramMD and @wfearonmd
https://t.co/YKxFathcrc

[Constantine Tarabanis, MD @DrCardioCon]

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 📊.

[Lior Jankelson @ExtraStim]

⚡️Just out @JACCJournals⚡️
Prediction of 💊 induced QT prolongation with #AI
💥QTNet - 🆕 architecture for fusing ECG with EHR data
⏱️-dependent prediction from day 0- 180 & external validation
💥day 2 AUC > 0.9
https://t.co/klOzABbNH7
💫@neiljethani
💫@DrCardioCon
💫HaoZhang

[Alan Karthikesalingam @alan_karthi]

Delighted to share ✨Med-Gemini✨ - our new family of multimodal models for medicine unlocking new possibilities for health - https://t.co/7Vqpw33yrK

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)

[David Ouyang, MD @David_Ouyang]

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%).

[Constantine Tarabanis, MD @DrCardioCon]

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) https://t.co/i5kYOmfHi3

[Ken Milne MD @TheSGEM]

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. https://t.co/1ci8OCvsPx
@First10EM @KirstyChallen @drjohnm @adamcifu

[Gregg Fonarow MD @gcfmd]

🚨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😱🆘

https://t.co/a7au8TIdJ7

@JAMACardio @FudimMarat

[Brigham & Women's CV Fellows @BrighamFellows]

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 🫀🫀

[Lior Jankelson @ExtraStim]

#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

👇