Aline Pedroso
@af_pedroso
Lead, Scientific Operations @cards_lab @YaleCardiology | PhD Epidemiology - working on digital health, health policy, and data-driven innovations in healthcare
What a start to #ACC25! Amazing talks and mic dropping debate.
Will AI replace cardiologists? 🧑⚕️🤖 What a fun and insightful debate: @AmiBhattMD “Desperation is the mother of adoption” 🆚 @rohan_khera “AI that uses doctors will replace AI that doesn’t” #ACC25
We know AI-ECG and AI-Echo can detect transthyretin amyloid cardiomyopathy (ATTR-CM), but: – How early can they pick up the phenotype? – Can we track its progression with digital biomarkers? Find out in our @cards_lab study in @ehj_ed Thread below 🧵👇 w/ @rohan_khera…
Now out in @Nature_NPJ Cardiovascular Health #AI + #wearable & portable devices can transform CV care - enabling 📈scalable screening ⏲️early detection 📲remote monitoring 🔗🔗nature.com/articles/s4432… w/ @rohan_khera @cards_lab @YaleMed New frontiers in #DigitalHealth #CVCare
A team led by @YaleIMed's @rohan_khera says its new #AI tool, PanEcho, can interpret #echocardiogram images and accurately detect #heart conditions in minutes. Researchers share their results in @JAMA_current: medicine.yale.edu/news-article/a…
Excited that #PanEcho is now published in @JAMA_current Kudos to @giholste @ekoikonomou for leading this incredible effort! Now also validated on ED POCUS studies + RVNet+ (Thx Attila Kovacs & Marton Tokodi for joining us) See 🧵 below for details! jamanetwork.com/journals/jama/……
After 2 months of embargo for #AHA24 Late Breaking presentation, we are pleased to announce PanEcho - Complete AI-enabled echocardiography interpretation with multi-task deep learning Led by @giholste & @ekoikonomou @cards_lab Preprint, code, model here:…
Excited to share our 🆕 pub demonstrating the power of #AI in detecting #HF risk in single-lead ECGs across diverse cohorts 🇺🇸🇬🇧🇧🇷 Led by 🌟 lab members @LovedeepDhingra @AryaAminorroaya Read the 📄 in @jamacardio: jamanetwork.com/journals/jamac… @rohan_khera @YaleMed @YaleCardiology
How’s AI revolutionizing healthcare? Check out the video from @bbgoriginals featuring @rohan_khera and the @cards_lab @YaleMed
How Is AI Revolutionizing Medicine? Watch the Bloomberg article featuring the @cards_lab @YaleMed @business @bbgoriginals youtu.be/FqsvgFTQv8w?si…
Much of the highest-quality cardiovascular data is locked in free-text reports In @ESC_Journals #EHJDigitalHealth, led by @VasishtSumukh @cards_lab, we report the HeartDX-LM to digitize unstructured CV diagnostic reports, that is - efficient - scalable - open source more👇
It was such an amazing honor to visit great friends and collaborators at @Yale @YaleCardiology and give grand rounds about our trial experience back home in DK. Thanks again for the invitation @rohan_khera, @hmkyale, and Eric J. Velazquez! Hope to be back very soon again :-)
Great to have the exceptional @TorBiering visiting us at @YaleCardiology as our visiting professor. We @cards_lab had fun learning about his journey (those who made it back from #ACC25). Looking forward to his grand rounds @ 5p ET - live on youtube.com/@yalecardiology
#ACC25 was such an incredible meeting! Outstanding science and many ideas exchanged. Grateful to the @cards_lab family for making it so fun. Looking forward to the next one! @ACCinTouch @rohan_khera @YaleIMed @YaleMed @YaleCardiology
🚀 Last day at #ACC25! It’s been a fantastic conference with great conversations, sharing insights on #AI in cardiology 🧵 ⚙️ LLMs in action 👥 Digital twins 📢 Health in social media Amazing engagement—grateful to @ACCinTouch for bringing us together! #ACC25
🧵1/n Can #AI identify structural heart diseases from an #ECG photo? 📸 In @JACCJournals #JACC, we present PRESENT-SHD, an ensemble deep learning model for automated SHD screening & risk stratification, validated in clinical & community-based cohorts. @cards_lab @rohan_khera⬇️
In an individual patient data meta-analysis of 7,805 patients enrolled in 7 RCTs, Dr. @AryaAminorroaya, @rohan_khera, et al found evidence of superiority for tirzepatide in resolving metabolic syndrome jacc.org/doi/10.1016/j.… @cards_lab #ACC25 #JACC #T2D #diabetes
📣Happening now! @LovedeepDhingra presenting his fantastic work on detecting occlusive MI using ECG images! @cards_lab @rohan_khera @VasishtSumukh #ACC25
Amazing work by @AryaAminorroaya published @JACCJournals simultaneously with his #ACC25 YIA presentation! Cardiometabolic Effects of Tirzepatide in Type 2 Diabetes: Individual Variation and Relationship to Cardiovascular Outcomes jacc.org/doi/10.1016/j.… @cards_lab @rohan_khera…
A report from our TRACE-AI Network study defining the burden of undiagnosed ATTR Cardiac Amyloid using multimodal AI, presented by @ekoikonomou #ACC25 A growing network of sites are joining us. Stay tuned for more Learn more about the study @af_pedroso @BridgeBioPharma
Excited to be back in Chicago #ACC25 to present our work on deployment of an ML guided tool to better understand SGLT2i utilization and patient response profile in pts with T2DM. Incredibly grateful for the mentorship form @rohan_khera @cards_lab @ekoikonomou @LovedeepDhingra
Amazing presentation by @AryaAminorroaya @cards_lab at @ACCinTouch #ACC25 YIA for Clinical Investigations An individual participant analysis of SURPASS trials evaluating the cardiometabolic effects of tirzepatide Simultaneously published in @JACCJournals #JACC (link below)
Day 1 Highlights from the ACC 2025! 🚨 The CarDS Lab shares perspectives on AI-driven cardiology! ⚡️🩺 @Veer_Sangha_ shared insights on the multinational validation of an AI algorithm to identify ATTR cardiomyopathy from electrocardiographic images🔬💡 #ACC25 @ACCinTouch
Wearable device use in the United States and willingness to share this data with clinicians to inform care. A national study led by @af_pedroso @cards_lab Most want to share data but only quarter do. Dedicated infrastructure development is needed. #ACC25