Thanks for the review, this is awesome!

AMIE, a conversational medical #AI tool for clinical reasoning and dialogue, moves diagnostic AI from simulation → real patients 🏥 A prospective single-arm study showed results comparable to PCP reasoning 👩‍⚕️ Very interesting feasibility study. Looking forward to what comes next. research.google/blog/amie-a-… @AdamRodmanMD @GoogleDeepMind @BIDMChealth @DemisHassabis #CardioTechX #AIinMedicine

What happens when you train a foundation model on data from Epic Cosmos, one of the world’s largest de-identified longitudinal EHR datasets? In our latest CardioTechx Journal Club, we break down CoMET: a generative medical event model trained on 118M patients and 115B medical events, with signals in CKD progression, readmissions, and disease trajectories. Turn doom scrolling into microlearning. #EPIC #AIinMedicine #Cardiology #DigitalHealth #MedTwitter @HeyEpic @shanewaxler @PaulJBlazek

My assumption would be that PVL could be reduced by something inflammatory - but that would make HALT worse This seems like having cake while eating it Fantastic if generalisable, but doesn't a PVL rate of 25% seem high? Is there data on PVL & HALT in ⬆️BMI?

Kind of magic

Definitely a useful approach to studying reintervention. Number of pts at 5-6 years is very small for now, so we'll need to wait a couple more years to get some reasonable n's of pts >5 -year follow-up when the reintervention rate in the trials started to accelerate. @rwyeh

Highlights from #CRT2026 Day 1: Dr. Deepak Talreja discussed how DASI Simulations can support pre-TAVR planning by integrating patient-specific CT modeling with procedural risk assessment and more personalized valve selection. Beyond valve sizing, simulation highlighted: • DLC/d for coronary obstruction risk • Membranous septum length for conduction risk • Oversizing & stretch analysis for annular injury / rupture risk A useful example of #AI applied to structural heart planning, helping personalize complex decisions. #StructuralHeart #TAVR #CardioTechX #AIinCardiology @CRT_meeting

🎥 New CardioTechX Journal Club episode out now. ATTRACTnet ( @JAMACardio ): Deployable multimodal AI for ATTR-CM. ✅ 2 aims: Model development/validation Prospective trial of the screening program 📈 AUROC: 0.85 internal | 0.82 external 🔎 Prospective single-arm trial: 1,471 flagged → 50 scanned → 24 dx (48% yield) 📊 ~3-fold increase in detection compared to routine PYP positivity 15.3% #Amyloidosis #CardioAI #AIinMedicine #ECG #Echo #DigitalHealth #CardioX Full manuscript: jamanetwork.com/journals/jam…

We just dropped a FREE AI-ECG AI-Echo resource pack you can actually use: ✅ Open ECG datasets: PTB-XL, MIMIC-IV-ECG, PhysioNet CinC 2020, ChapmanECG, LUDB, pediatric/CHD sets ✅ Open Echo datasets models: EchoNet-Dynamic, EchoNet-LVH, TMED released repos (EchoPrime / EchoNet tools) ✅ Foundation model weights (Hugging Face): ECG-FM, ECGFounder, ECG-CLIP-style models ✅ Tooling: WFDB, NeuroKit2, MONAI, nnU-Net Follow @CardioTechx for more 60-sec cardiology tech. 🔁 #CardioTwitter #MedTwitter #Cardiology #AI #ECG #Echocardiography #DigitalHealth

TARGET-AI (@NEJM_AI ): deployable #AI-ECG screening via EHR-gated targeting. ✅ 2-stage pipeline: EHR gate (90% sensitivity) ➝ AI-ECG 📈 Temporal validation (n=5,198): median F1 0.25 (0.09–0.75) 📉 False positives −303 (−715 to −77) across 26 SHD labels 🌍 External: UKB (n=33,518) FP −819; MIMIC-IV (n=3,628) FP −255 🎥 New CardioTechX Journal Club episode out now. More great work from @cards_lab Full manuscript: ai.nejm.org/doi/full/10.1056… #CardioX #AIinMedicine #DigitalHealth #Echo #ECG

🫀 New on @CardioTechx Journal Club: infant ECG deep learning predicts critical CHD from a single ECG. In neonates (≤7d): AUROC ~0.89, AUPRC ~0.92 📈. Could boost pulse-ox screens for tough lesions. Watch our 2-min breakdown 🎥👇 @JACCJournals @jmayour #CardioTwitter #MedTwitter #AIinMedicine #PedsCardiology #CHD #Cardiology #DigitalHealth #AICardiology #AI #CardioX

New data from #TCT2025, published in JACC: Cardiovascular Interventions. #AI-driven #ECG analysis enhances #STEMI detection, reduces unnecessary activations, and more accurately flags nonconventional presentations, supporting integration into acute chest-pain pathways. Congrats to @RobertHermanMD, @HenrytTimothy, and team. 2-min @CardioTechx Journal club recap 👇

Nice video! Thanks for summarizing this article!

🚨 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/10.1056/… Here’s the summary by @CardioTechx #AIinMedicine #Cardiology #MedEd #CardioTwitter #CardioX

Thanks for featuring our work! Can't believe I'm only just finding out about the channel - keep up the great work

🚨 Can AI assess tricuspid regurgitation severity from a single echo view? EchoNet-TR, a deep learning model trained on >2M echo videos, accurately detects moderate/severe TR (AUCs up to 0.98) — all from one A4C clip. Full manuscript link: jamanetwork.com/journals/jam… #CardioTwitter #AI #echofirst #TR #DigitalHealth #CardioTechX

🚨 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. #CardioTwitter #AI #ECG #HFrEF #HFpEF #CardioTechX #DigitalHealth

Thankful for our wonderful collaborative team @JohnTriedmanMD @w_la_cava @sgcard @Bos_CHIP @RobertHPass @DonnchadhOSull @OungSavly @Bravo__MD @Dr_Dave2456 @mandl @ralogon @MAGatzoulis @FredWuMD @CardioTechx @DrKeilaLopez @AlsaiedTarek #JACCCEP #ECG #AI #DeepLearning

🚨 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/10.1016/j.… #CardioTwitter #MedEd #Cardiology #ArtificialInteligence #AI #MedicalResearch #AtrialFibrillation #Innovation

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