Keeping you up to date in cardiology, devices, tech & artificial intelligence | Views are our own | By @SaharSamimiMD & @DonnchadhOSull | #DigitalHealth #AI
Joined December 2024
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CardioTechx retweeted
Grateful to @NEJM_AI for having me on Grand Rounds. The barrier to building has dropped, but the barrier to building safely hasn't. Closing that gap is what we do every day at @AbridgeHQ.
On AI Grand Rounds, Dr. Michal Nedoszytko (@mnedoszytko) explains how AI can help physicians gather better information, improve the quality of conversations with patients, and prototype solutions to problems that clinicians experience every day. 🎧 nejm.ai/ep47
ALT Promotional image for episode 47 of the NEJM AI Grand Rounds podcast featuring Dr. Michal Nedoszytko. The left side includes the title: "Abridge’s Dr. Michal Nedoszytko on Physicians Who Build Software." A photo of Dr. Nedoszytko is on the right.
CardioTechx retweeted
The website is live at intro2echo.com and the github is at github.com/douyang/echodemo
It was really fun to make the free movement - the video doesn't do it justice, but you can free move both the TTE and TEE probe and it'll generate the 2D image in according to the 3D model.
There's a couple of chapters on common echo concepts and common diseases. Would love feedback!
I'm almost ready to share it, but Claude Code is very good at keeping consistency across views and chapters.
For example, I can specify a heart phenotype, and will make all the images consistent and physiologically plausible.
Even with unlimited time, I don't think I could create such a nice tutorial!
CardioTechx retweeted
Our clinical trial of AMIE, a patient-facing AI system, was just published in The Lancet.
I want to explain what *I* think this study ACTUALLY means.
It's about a fundamental question: how do we know that clinical AI works?
🧵⬇️
xitter.cf/Google/status/21083245…
Our medical research system, AMIE, is the first patient-facing conversational diagnostic tool of its kind to be studied prospectively in a real-world clinical setting.
In a study, published today in @TheLancet, we found that when patients chatted with AMIE before an in-person appointment, the interaction built their confidence and helped them organize their thoughts. And physicians who reviewed the information from the patient conversation got more time back to focus on collaborative care and shared decision-making instead of digging through data.
CardioTechx retweeted
Great work from @hieki_md in advancing early detection and diagnosis of valvular heart disease!
The newly developed open-source EchoNet-AS deep learning model accurately assessed aortic stenosis by combining B-mode videos, Doppler images and peak aortic velocity measurements, according to research published in #JACCIMG.
Read more: bit.ly/4rRRTHj #CardioX
CardioTechx retweeted
I built an interactive echocardiography tutorial with Claude Code.
Chapter 07: a 3D heart, the standard imaging views, the probe position, and simulated ultrasound video.
CardioTechx retweeted
NEW Viewpoint: The clinician–artificial intelligence scientist: a proposed career pathway in medicine.
Read it here: thelancet.com/journals/landi…
CardioTechx retweeted
One of the scarcest resources in healthcare is time. We’re building @almanac_health so physicians have more time to care for patients.
After spending the last few months building, we’re thrilled to be launching Almanac, the first milestone in our mission to improve healthcare delivery. Almanac is a collaborative agent that works across your EHR and workspace to help you delegate work, explore research directions, and more!
We’ve raised a total of $12M, starting with a $2M pre-seed led by @generalcatalyst, and a $10M seed led by @FPrimeCapital with participation from General Catalyst and @lightspeedvp.
We're just getting started, and we can't wait to build the future of care alongside the physicians who use Almanac every day
CardioTechx retweeted
Late Breaking Science: We are excited to present our blinded, randomized trial of comprehensive echo interpretation by AI at @AHAScience #AHA26 on Monday November 9th.
CardioTechx retweeted
Sorry, to put numbers on this:
How many ECGs do you read more than 48 hours after the ECG was done or after the patient is discharged?
Among these ECGs, how many have you called the patient and ordered an echo?
Cardiologists are inundated with reading ECGs many days after a clinic encounter, and the friction to do any intervention (diagnostic or therapeutic) is tremendous.
An AI safety net is helpful because there is burn-out, fatigue, and an increasing volume of diagnostic tests. The burden of clinical care is increasingly pushed up to the imaging interpreting physicians as the front line is tired and overworked.
The comparison isn't against a well rested cardiologist - the comparison is often against nothing.
@drjohnm @PierreEliasMD @oziadias @EricTopol
Story from NYT on saving life by AI
As a cardiologist, I appreciate the human story here but let’s be precise about what’s actually happening.
A well-trained physician would have caught this ECG finding and ordered the echo. What we’re often calling ‘AI breakthroughs’ in cardiology are really gap-fillers for under-resourced or under-trained systems, valuable in that context, but not paradigm-shifting for centers with strong clinical care.
The hype cycle around AI in medicine risks overpromising to patients and undervaluing the clinicians already doing this work every day. 🩺 🫀
@nytimes @DKThomp
CardioTechx retweeted
Can artificial intelligence detect coronary plaque progression before it becomes clinically evident? This is the first deep-learning model designed to detect changes in plaque progression by quantifying frame-to-frame changes in plaque burden across adjacent IVUS images. eurointervention.pcronline.c…
CardioTechx retweeted
We've released a #new State-of-the-Art Review, "Left Atrial Strain in Pediatric Cardiology: Evidence to Date and Future Directions."
Read our @JournalASEcho article: bit.ly/3OvhqHi
CardioTechx retweeted
🚨 Introducing Cardio amyloid-AI — a multimodal AI pipeline for early detection of ATTR-CM (transthyretin cardiac amyloidosis) in severe aortic stenosis patients.
Using routine CT scans, echocardiograms, ECGs & demographics — no extra tests needed. 🫀
Our multimodal model outperforms every single-modality baseline (CT alone, Echo alone, ECG alone) on AUC — validated against PYP imaging (gold standard) in TAVR patients.
Trend data from 2004–2016 shows rising detection probability over time. The model catches what humans miss.
ATTR-CM is routinely missed until it’s too late. Opportunistic AI screening using already-collected clinical data = earlier diagnosis, timely treatment, better outcomes.
No added cost. No extra scans. Just smarter use of existing data.
#CardioAI #AmyloidHeart #AIinMedicine #TAVR #Cardiology
CardioTechx retweeted
PRO-TAVI trial: Deferring PCI was non-inferior to routine PCI before TAVI for the 1-year composite of all-cause mortality, MI, stroke, and major bleeding, suggesting its appropriate role in selected CAD patients. #ACC26 View slides here: clinicaltrialresults.org/wp-…
CardioTechx retweeted
ALERT trial: AI-driven automated electronic clinician notifications for severe valvular heart disease accelerated and improved rates of cardiac specialty referrals and interventions vs. usual care. #ACC26 View the slides here: clinicaltrialresults.org/wp-…
CardioTechx retweeted
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
CardioTechx retweeted
Can AI read an ECG like a cardiologist - from just an image?
We built ECG-GPT, a vision-text transformer that generates complete diagnostic reports directly from photos of 12-lead ECGs
Now out in @ESC_Journals #EHJDigitalHealth
Kudos to @aakhunte & @Veer_Sangha_ for leading this @cards_lab
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CardioTechx retweeted
An #ArtificialIntelligence prediction model for optimizing patient selection for cardiac imaging for the investigation of suspected coronary artery disease ow.ly/1ho650Yr9TM
#EHJDigital #yesCT
@BruiningNico @rafavidalperez @fwasselbergs @EAPCIPresident @EACVIPresident
CardioTechx retweeted
RCT-Twin-GAN: a generative AI framework to build digital twins of clinical trials conditioned on real-world populations - now out in @npjDigitalMed
Kudos to @PhyllisTweets and @VasishtSumukh for leading this @cards_lab
🗞️ nature.com/articles/s41746-0…
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CardioTechx retweeted
Conversational #ArtificialIntelligence for remote monitoring in #HeartFailure: a prospective controlled pilot study ow.ly/aYEo50YqPXj
#EHJDigital #NLP
@BruiningNico @rafavidalperez @fwasselbergs @rbcasado @HFA_President
