Starting in 217-219- @PierreEliasMD describing his amazing work on #aiecg rct! Stop by! #aha25 the Clinical AI Data Scientist Session
Phyllis Thangaraj
@PhyllisTweets
Cardiology Fellow @yalecardiology, postdoc @cards_lab , @YaleMedPTSP, @Columbia MD/PhD, Bioinformatics, data quality, heart failure research
486 Following 433 Followers 287 Posts
Latest posts 5
👉 Join us at #AHA2025 for a fantastic #datascience and #AI #skills session!
👩💻 The Cardiovascular Data-Scientist: Skill Development in Artificial Intelligence and Informatics.
📌 Saturday November 8, 2025 from 1:30-2:30 PM
Rooms 217-219
💡 Leaders in the cardiovascular data science field will share practical primers on building AI tools in cardiology. 🌟 speaker lineup below!
@ramseywehbemd : "Data assets for building health AI tools"
@girish_nadkarni : "Processing EHR data to build machine learning tools"
@PierreEliasMD : "Building AI applications for ECGs"
@DrA_FACC : "Deep learning for cardiac imaging applications and building computer vision models"
@Phil_Adejumo : "Language models - how to build models to extract information from text in EHR"
Moderator: @SnehaShahJain
Social Media Moderator: @PhyllisTweets
👩💻 The Cardiovascular Data-Scientist: Skill Development in Artificial Intelligence and Informatics.
📌 Saturday November 8, 2025 from 1:30-2:30 PM
Rooms 217-219
💡 Leaders in the cardiovascular data science field will share practical primers on building AI tools in cardiology. 🌟 speaker lineup below!
@ramseywehbemd : "Data assets for building health AI tools"
@girish_nadkarni : "Processing EHR data to build machine learning tools"
@PierreEliasMD : "Building AI applications for ECGs"
@DrA_FACC : "Deep learning for cardiac imaging applications and building computer vision models"
@Phil_Adejumo : "Language models - how to build models to extract information from text in EHR"
Moderator: @SnehaShahJain
Social Media Moderator: @PhyllisTweets
Proud to share our study introducing a multidimensional metric to quantify the representation of TOPCAT participants in the EHR. Understanding representation is key to generalizing treatment effects to real-world populations. Thank you @ekoikonomou @rohan_khera @cards_lab
1/ In this study, we introduce a multidimensional metric to quantify the representativeness of RCT participants in the EHR and identify those who may respond similarly to the intervention. @PhyllisTweets @ekoikonomou ...View quoted post on X
And finally, Dr. @af_pedroso
knocks it out of the park with her second study assessing the association between remote patient monitoring and excess readmission in HF and MI! #AHA24
@rohan_khera
@cards_lab
knocks it out of the park with her second study assessing the association between remote patient monitoring and excess readmission in HF and MI! #AHA24
@rohan_khera
@cards_lab
Still in 104b- @cards_lab member Elianna Knight shares her groundbreaking research using foundational models trained on echo reports and ecgs to detect structural heart disease in single lead ecgs!
