CardioTechx @CardioTechx

CardioTechx by @SaharSamimii & @DonnchadhOSull | Keep up-to-date with rapidly evolving Cardiology, Technology & Artificial Intelligence Research | Our own views Joined December 2024

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CardioTechx @CardioTechx

a month ago

EchoNext, a DL ECG model trained on 1.2M ECG–echo pairs, prospectively identified previously undiagnosed SHD (PPV>50%) and exceeded cardiologist performance across 11 hospitals. Public weights + 100k-labeled ECG set released. doi.org/10.1038/s41586… #AIinMedicine #CardioTwitter…

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Milos Vukadinovic @milos_ai

2 months ago

🚨Releasing 200k cardiac MRI images! 🚨 Open source cMRI datasets contain only a few hundred images, so we used GANcMRI to create 1000x bigger fully synthetic dataset. We hope that GANcMRI dataset will boost the development of AI models for cardiology.

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David Ouyang, MD @David_Ouyang

2 months ago

Excited to see this comparison of amyloid detection algorithms in @JACCJournals #advances, lead by @FarazAhmadMD. AI algorithms on #echofirst outperform EHR and rules-based approaches. Similar AUC but different calibration. @InVision_AI more specific, @ultromics more sensitive.…

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Ultromics @ultromics

2 months ago

📢 New #EHJ study! Our AI screening tool for echo — EchoGo® Amyloidosis — detects cardiac amyloidosis, a life-threatening condition, with high accuracy. Developed with @MayoClinic @UChicago, tested with 18 global sites. See paper & release: ultromics.com/press-releases… #CardioTwitter

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JACC Journals @JACCJournals

2 months ago

Pitfalls and promise in #AI/DL #EchoFirst: how to best evaluate the evaluation metrics to address bias? New #JACCIMG study evaluates 3 common challenges in EF estimation to mitigate these challenges for new AI/DL frameworks in #cvImaging. jacc.org/doi/10.1016/j.… #DeepLearning

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CardiovascularCorner @TrackYourHeart

2 months ago

I've always believed that using the "M" or "W" pattern recognition for diagnosing bundle branch blocks (BBB) should be discouraged. These patterns often don't apply to many cases of either left or right BBB. It's far more effective to teach why a particular BBB appears the way it…

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CardiovascularCorner @TrackYourHeart

2 months ago

Open it. Zoom it. Save it. Share it. This is your go-to guide for standard adult TTE views.

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CardioTechx @CardioTechx

2 months ago

🚨 Introducing ECGFounder, a foundation model trained on over 10 million annotated ECGs, achieving expert-level performance across 150 diagnoses. Validated across diverse datasets, it generalizes well, even with single-lead inputs. @NEJM_AI Link: ai.nejm.org/doi/abs/10.105……

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CardioTechx @CardioTechx

3 months ago

🧠💓 Deep learning meets congenital heart disease. This AI-ECG model predicted future LV dysfunction months before echo. You need to see this. #AIinMedicine #Cardiology #MedEd @jmayour #CardioTwitter #CardioTech #ACHD #CHD #EchoFirst #HeartFailure2025 #HeartHealth…

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Google @Google

4 months ago

Meet infinite possibilities with Flow and Veo 3. 🎬 ✨Catch up on all the latest Google AI announcements and demos from #GoogleIO → ai.google

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Arya Aminorroaya @AryaAminorroaya

4 months ago

After our recent 📖 featuring ADAPT-HEART, an AI-ECG model to detect structural 🫀 disease from 1-lead ECGs, thrilled to share another application of ⌚️/📱-based AI-ECG models to predict incident HF using 1-lead ECGs! Stay tuned for more from us @cards_lab @YaleCardiology!

CarDS Lab @cards_lab

5 months ago

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Bardia Khosravi, MD @BrdKhsrv

5 months ago

Humbled that @NajvaApp has hit 1000+ users! I've dictated 100K+ words with it - it's become an inseparable part of my workflow. Voice-to-text + LLM is the ultimate productivity tool. Try it yourself (always free) and feel the magic! 🎙️✨ najva.brdkhsrv.com

Najva App @NajvaApp

5 months ago

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CardioTechx @CardioTechx

5 months ago

🚨 New CardioTechX Journal Club Episode 🚨 Can an AI-enabled ECG detect diastolic dysfunction as well as echo? 📉 A novel deep learning model identifies LV filling pressures & diastolic grades with impressive accuracy (AUC up to 0.94) — even in echo-indeterminate cases.…

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CardioTechx @CardioTechx

6 months ago

🚨 CardioTechX Journal Club Episode🚨 In this episode we're highlighting a novel #MachineLearning model that identifies #AF patients that benefit most from #LAAO vs. #DOAC. Full manuscript found here: jacc.org/doi/full/10.10… #CardioTwitter #MedEd #Cardiology…

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Donnchadh O'Sullivan @DonnchadhOSull

6 months ago

Check out this blog post on AI @CardioTechx @bcmhouston @TexasChildrens @SaharSamimii blogs.bcm.edu/2025/03/07/art…

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CardioTechx @CardioTechx

7 months ago

🚨 New CardioTechX Journal Club Episode🚨 We’re spotlighting the FLASH trial: an #AI-based quantitative coronary angiography approach that matches #OCT in PCI outcomes—all while streamlining stent sizing and deployment. #CardioTwitter #MedEd #Cardiology #ArtificialInteligence…

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CardioTechx @CardioTechx

7 months ago

🚨 New CardioTechX Journal Club Episode 🚨 We’re highlighting a groundbreaking #AI-ECG model that predicts future heart failure risk from an ECG image—validated across multinational cohorts! Discover how #ArtificialIntelligence is redefining digital biomarkers and #HeartFailure…