Weโre live at #BSEcho2026 in Manchester! ๐
The booth is set up, the scanner is ready, and the Us2.ai team is here for two days of echo, AI, and great conversations.
๐ซ Stop by for a live scan and see exactly what our AI echo software does in a real clinical workflow. What better way than to try it for yourself?
Come find us. Weโd love to show you what weโve been working on!
Weโre at DIC Congress 2026 in Curitiba!
Come and meet the Us2.ai team at our partner Brasil Medicaโs booth and see firsthand how our AI echo software fits into clinical workflows around the world.
๐ See you there!
#AIEcho #Echocardiography #AI #Cardiology #DIC26
Heading to BSEcho 2026 in Manchester?
Come and meet theย Us2.aiย team on site from 16-17 October with ๐ฅ๐ข๐ฏ๐ ๐๐๐ฆ๐จ๐ฌ of our AI echocardiography solution and see firsthand how it fits into a real clinical echo workflow.
๐ก Learn howย Us2.aiย can support your echo workflow:
โ Consistent, accurate and faster echocardiogram analysis
โ Improved diagnostic efficiency
โ The latest innovations in cardiovascular imaging
See you in Manchester!
#BSEcho
๐ซ Scan the patient. Let the measurements follow automatically.
Thatโs how Michael Denning describes echo at his practice since adoptingย Us2.ai. With 25 years in echocardiography, he explains how his sonographers now scan start to finish while the measurements populate automatically, so their focus stays on acquiring high-quality images and reading the patient.
By the time they leave the room, the study is measured and ready for preliminary findings, no backlog building up behind them.
๐ฌ Hear more about Michael Denning's experience using Us2.ai โย us2.ai/news/ai-echo-adoptionโฆ
๐งย Interested to see howย Us2.aiย could work for your Echo workflow? Contact us today for a demo!
Attending โCurrent Applications and Future of Artificial Intelligence in Cardiologyโ organised by Mayo Clinic in Napa this October?
Theย Us2.aiย team will be on site from 11-14 October alongside cardiologists and imaging specialists exploring where AI fits in modern cardiovascular care.
๐ก Stop by to learn howย Us2.aiย can elevate your echo workflow:
โ Consistent, accurate and faster echocardiogram analysis
โ Improved diagnostic efficiency
โ The latest innovations in cardiovascular imaging
๐ซ ๐๐๐ซ๐ญ 4 ๐จ๐ 4 | ๐๐ ๐๐๐ก๐จ & ๐๐๐ ๐๐๐ญ๐๐๐ญ๐ข๐จ๐ง ๐ฐ๐ข๐ญ๐ก ๐๐ฌ2.๐๐ข
Measuring outflow obstruction in HCM takes Doppler, multiple views, provocation maneuvers, and a skilled operator. It's one of the hardest parts of the scan to get right.
To close the series, Dr. Fawaz Alenezi, MD walks through how our LVOT gradient model performed at automatically measuring outflow tract obstruction.
๐ That's a wrap. Thanks for following along, view the full four-part series in the comments, or read more here: us2.ai/clinical-evidence/ai-โฆ
Ready to see whatย Us2.aiย could do in your echo lab? Book a demo or contact us to discuss your workflow!
๐ซย ๐๐๐ซ๐ญ 2 ๐จ๐ 4 | ๐๐ ๐๐๐ก๐จ & ๐๐๐ ๐๐๐ญ๐๐๐ญ๐ข๐จ๐ง ๐ฐ๐ข๐ญ๐ก ๐๐ฌ2.๐๐ข
HCM, aortic stenosis, hypertensive heart disease, cardiac amyloidosis, they can all look alike on echo, but each is managed completely differently. Detection alone isn't enough. The model has to tell them apart.
In Part 2, Dr. Fawaz Alenezi, MD shares how our upcoming HCM detection model performed at distinguishing true HCM from the conditions that mimic it, the phenocopies.
Missed the start? Part 1, on what the model is and its internal validation, is in the comments ๐
๐Read more here: us2.ai/clinical-evidence/ai-โฆ or book a demo with us to see it live!
๐ซ Part 3 of 4 | AI Echo & HCM Detection with Us2.ai
Plenty of medical AI models work beautifully, right up until it meets a patient it wasn't trained on.
That's the test that actually counts. In Part 3, Dr. Fawaz Alenezi shares how our upcoming HCM detection model performed on a completely independent cohort it had never seen before, part of the results presented as Late Breaking Science at ESC Congress.
Generalizing to new patients, a new site, and new scanners is where most models break, and it's the difference between a promising result and a tool you can deploy.
Catching up? Parts 1 and 2 in the thread below๐
๐ซ Part 3 of 4 | AI Echo & HCM Detection with Us2.ai
Plenty of medical AI models work beautifully, right up until it meets a patient it wasn't trained on.
That's the test that actually counts. In Part 3, Dr. Fawaz Alenezi shares how our upcoming HCM detection model performed on a completely independent cohort it had never seen before, part of the results presented as Late Breaking Science at ESC Congress.
Generalizing to new patients, a new site, and new scanners is where most models break, and it's the difference between a promising result and a tool you can deploy.
Catching up? Parts 1 and 2 in the thread below๐
Watch our 4 part video series here:
Part 1: xitter.cf/us2_ai/status/21020200โฆ
๐ซ ๐๐๐ซ๐ญ 1 ๐จ๐ 4 | ๐๐ ๐๐๐ก๐จ & ๐๐๐ ๐๐๐ญ๐๐๐ญ๐ข๐จ๐ง ๐ฐ๐ข๐ญ๐ก ๐๐ฌ2.๐๐ข
Nearly 8 in 10 people with hypertrophic cardiomyopathy don't know they have it. It's one of the most common inherited heart diseases and a leading cause of sudden cardiac death in young people, yet most cases are never caught.
๐๐จ ๐ฐ๐ ๐๐ฌ๐ค๐๐ ๐ ๐๐ข๐๐๐๐ซ๐๐ง๐ญ ๐ช๐ฎ๐๐ฌ๐ญ๐ข๐จ๐ง: ๐๐จ๐ฎ๐ฅ๐ ๐๐ ๐ซ๐๐๐ ๐ ๐ซ๐จ๐ฎ๐ญ๐ข๐ง๐ ๐๐๐ก๐จ ๐๐ง๐ ๐๐ฅ๐๐ ๐๐๐ ๐๐ฎ๐ญ๐จ๐ฆ๐๐ญ๐ข๐๐๐ฅ๐ฅ๐ฒ?
That's the aim of our upcoming HCM detection model, with results recently presented as Late Breaking Science at ESC Congress. Over the next four short videos, Dr. Fawaz Alenezi, MD walks through how the model performed, starting here with the internal validation: the first look at how well AI can pick out HCM from echocardiographic images.
See what AI-powered echo could do for your practice!
๐ Read more here: us2.ai/clinical-evidence/ai-โฆย or book a demo with us to see it live!
๐ซย ๐๐๐ซ๐ญ 2 ๐จ๐ 4 | ๐๐ ๐๐๐ก๐จ & ๐๐๐ ๐๐๐ญ๐๐๐ญ๐ข๐จ๐ง ๐ฐ๐ข๐ญ๐ก ๐๐ฌ2.๐๐ข
HCM, aortic stenosis, hypertensive heart disease, cardiac amyloidosis, they can all look alike on echo, but each is managed completely differently. Detection alone isn't enough. The model has to tell them apart.
In Part 2, Dr. Fawaz Alenezi, MD shares how our upcoming HCM detection model performed at distinguishing true HCM from the conditions that mimic it, the phenocopies.
Missed the start? Part 1, on what the model is and its internal validation, is in the comments ๐
๐Read more here: us2.ai/clinical-evidence/ai-โฆ or book a demo with us to see it live!
๐ซย ๐๐๐ซ๐ญ 2 ๐จ๐ 4 | ๐๐ ๐๐๐ก๐จ & ๐๐๐ ๐๐๐ญ๐๐๐ญ๐ข๐จ๐ง ๐ฐ๐ข๐ญ๐ก ๐๐ฌ2.๐๐ข
HCM, aortic stenosis, hypertensive heart disease, cardiac amyloidosis, they can all look alike on echo, but each is managed completely differently. Detection alone isn't enough. The model has to tell them apart.
In Part 2, Dr. Fawaz Alenezi, MD shares how our upcoming HCM detection model performed at distinguishing true HCM from the conditions that mimic it, the phenocopies.
Missed the start? Part 1, on what the model is and its internal validation, is in the comments ๐
๐Read more here: us2.ai/clinical-evidence/ai-โฆ or book a demo with us to see it live!
Watch our 4 part series here:
Part 1: xitter.cf/us2_ai/status/21020200โฆ
๐ซ ๐๐๐ซ๐ญ 1 ๐จ๐ 4 | ๐๐ ๐๐๐ก๐จ & ๐๐๐ ๐๐๐ญ๐๐๐ญ๐ข๐จ๐ง ๐ฐ๐ข๐ญ๐ก ๐๐ฌ2.๐๐ข
Nearly 8 in 10 people with hypertrophic cardiomyopathy don't know they have it. It's one of the most common inherited heart diseases and a leading cause of sudden cardiac death in young people, yet most cases are never caught.
๐๐จ ๐ฐ๐ ๐๐ฌ๐ค๐๐ ๐ ๐๐ข๐๐๐๐ซ๐๐ง๐ญ ๐ช๐ฎ๐๐ฌ๐ญ๐ข๐จ๐ง: ๐๐จ๐ฎ๐ฅ๐ ๐๐ ๐ซ๐๐๐ ๐ ๐ซ๐จ๐ฎ๐ญ๐ข๐ง๐ ๐๐๐ก๐จ ๐๐ง๐ ๐๐ฅ๐๐ ๐๐๐ ๐๐ฎ๐ญ๐จ๐ฆ๐๐ญ๐ข๐๐๐ฅ๐ฅ๐ฒ?
That's the aim of our upcoming HCM detection model, with results recently presented as Late Breaking Science at ESC Congress. Over the next four short videos, Dr. Fawaz Alenezi, MD walks through how the model performed, starting here with the internal validation: the first look at how well AI can pick out HCM from echocardiographic images.
See what AI-powered echo could do for your practice!
๐ Read more here: us2.ai/clinical-evidence/ai-โฆย or book a demo with us to see it live!
๐ซ ๐๐จ๐ซ๐ฅ๐ ๐๐๐๐ซ๐ญ ๐๐๐ฒ 2026: ๐๐จ๐ง'๐ญ ๐๐ข๐ฌ๐ฌ ๐ ๐๐๐๐ญ ๐ซ
CVD takes ~20.5M lives a year. Up to 80% of premature deaths are preventable, if caught early.
That's where Us2.ai comes in: one echo โ a fully automated report. 141+ measurements + disease detection for cardiac amyloidosis, PH, heart failure & aortic stenosis. HCM coming soon.
Book a demo โ us2.ai
#WorldHeartDay #DontMissABeat
A few takeaways as we wrap up SDMS 2026 ๐ซ
Our team spent the last few days at the SDMS Annual Conference, mostly among sonography students and educators, and one theme kept coming up: ๐ญ๐ก๐ ๐๐๐๐ซ ๐ญ๐ก๐๐ญ ๐๐ ๐ข๐ฌ ๐ก๐๐ซ๐ ๐ญ๐จ ๐ญ๐๐ค๐ ๐ญ๐ก๐ ๐ฌ๐จ๐ง๐จ๐ ๐ซ๐๐ฉ๐ก๐๐ซ'๐ฌ ๐ฃ๐จ๐.
It's a concern we hear often, at conferences and in hospitals alike. But it's worth reframing. ๐๐ ๐ข๐ฌ๐ง'๐ญ ๐ก๐๐ซ๐ ๐ญ๐จ ๐ซ๐๐ฉ๐ฅ๐๐๐ ๐ญ๐ก๐ ๐ฌ๐จ๐ง๐จ๐ ๐ซ๐๐ฉ๐ก๐๐ซ'๐ฌ ๐๐ฑ๐ฉ๐๐ซ๐ญ๐ข๐ฌ๐. ๐๐ญ'๐ฌ ๐ก๐๐ซ๐ ๐ญ๐จ ๐ญ๐๐ค๐ ๐ฌ๐จ๐ฆ๐ ๐จ๐ ๐ญ๐ก๐ ๐๐ฎ๐ซ๐๐๐ง ๐จ๐๐ ๐ญ๐ก๐๐ข๐ซ ๐ฌ๐ก๐จ๐ฎ๐ฅ๐๐๐ซ๐ฌ, literally, by automating the repetitive measurements that mean endless clicking and tracing at the cart, and the strain on wrists, arms and shoulders that comes with it.
๐๐ก๐๐ญ ๐๐ซ๐๐๐ฌ ๐ฌ๐จ๐ง๐จ๐ ๐ซ๐๐ฉ๐ก๐๐ซ๐ฌ ๐๐จ๐ซ ๐ฐ๐ก๐๐ญ ๐จ๐ง๐ฅ๐ฒ ๐ญ๐ก๐๐ฒ ๐๐๐ง ๐๐จ: acquire high-quality images, recognise pathology, and bring clinical judgment to every study. The editor, not the illustrator.
Thank you to everyone who stopped by our booth and shared their perspective. ๐ If you missed us, contact us for a demo today!
#SDMS2026
We're at #SDMS2026! ๐
The Us2.ai team is on the floor at the SDMS Annual Conference, and we'd love to see you. If you're a sonographer, come see how AI-assisted echo can fit into your workflow.
๐ญPicture this: the AI recognises and labels your standard views as you go, flags anything missing or incomplete, automates your key measurements, and drops them straight into a draft report, with international guidelines reference ranges built right in. By the time you finish acquiring, your structured report is already there waiting for review. Fewer clicks, less time documenting!
Don't just take our word for it. Come see it for yourself and talk to the team.
Find us in the exhibit hall, just look for the team below. ๐
Not at SDMS this year? Drop a comment or reach out at Us2.ai and we'll follow up.
๐ SDMS Annual Conference
๐ Sep 24-26
Heading to the 2026 Society of Diagnostic Medical Sonography Annual Conference in Atlanta?
Come and meet theย Us2.aiย team on site from 24-26 September.
See firsthand how AI-automated echocardiography could help to elevate your workflow as a sonographer: consistent analysis, faster turnaround, and a complete annotated report in minutes.
๐ See you in Atlanta!
๐ซ ๐๐๐ซ๐ญ 1 ๐จ๐ 4 | ๐๐ ๐๐๐ก๐จ & ๐๐๐ ๐๐๐ญ๐๐๐ญ๐ข๐จ๐ง ๐ฐ๐ข๐ญ๐ก ๐๐ฌ2.๐๐ข
Nearly 8 in 10 people with hypertrophic cardiomyopathy don't know they have it. It's one of the most common inherited heart diseases and a leading cause of sudden cardiac death in young people, yet most cases are never caught.
๐๐จ ๐ฐ๐ ๐๐ฌ๐ค๐๐ ๐ ๐๐ข๐๐๐๐ซ๐๐ง๐ญ ๐ช๐ฎ๐๐ฌ๐ญ๐ข๐จ๐ง: ๐๐จ๐ฎ๐ฅ๐ ๐๐ ๐ซ๐๐๐ ๐ ๐ซ๐จ๐ฎ๐ญ๐ข๐ง๐ ๐๐๐ก๐จ ๐๐ง๐ ๐๐ฅ๐๐ ๐๐๐ ๐๐ฎ๐ญ๐จ๐ฆ๐๐ญ๐ข๐๐๐ฅ๐ฅ๐ฒ?
That's the aim of our upcoming HCM detection model, with results recently presented as Late Breaking Science at ESC Congress. Over the next four short videos, Dr. Fawaz Alenezi, MD walks through how the model performed, starting here with the internal validation: the first look at how well AI can pick out HCM from echocardiographic images.
See what AI-powered echo could do for your practice!
๐ Read more here: us2.ai/clinical-evidence/ai-โฆย or book a demo with us to see it live!















