Rohan Khera
@rohankhera.bsky.social
Cardiologist-Data Scientist at Yale. Working on data-driven cardiovascular care innovation at the Cardiovascular Data Science (CarDS) Lab (@cardslab.bsky.social). Associate Editor @ JAMA (@jama.com)
Some team members on Bsky: @ekoikonomou.bsky.social @phyllisthangaraj.bsky.social @aline-pedroso.bsky.social @lovedeepdhingra.bsky.social + others
March 26, 2025 at 6:26 PM
Some team members on Bsky: @ekoikonomou.bsky.social @phyllisthangaraj.bsky.social @aline-pedroso.bsky.social @lovedeepdhingra.bsky.social + others
Also, read the excellent editorial that accompanies our study.
January 24, 2025 at 4:43 PM
Also, read the excellent editorial that accompanies our study.
The single image-based AI-ECG score was either comparable or exceeded the performance of a multicomponent standard in PCP-HF (computable at Yale and ELSA-Brasil)
January 24, 2025 at 4:43 PM
The single image-based AI-ECG score was either comparable or exceeded the performance of a multicomponent standard in PCP-HF (computable at Yale and ELSA-Brasil)
We demonstrate a several-fold higher risk of HF with higher thresholds of AI-ECG risk score for LV dysfunction.
The effect estimates were more pronounced in rigorous cohort studies in the UK and Brazil, likely due to more complete & robust outcome capture vs EHR
The effect estimates were more pronounced in rigorous cohort studies in the UK and Brazil, likely due to more complete & robust outcome capture vs EHR
January 24, 2025 at 4:43 PM
We demonstrate a several-fold higher risk of HF with higher thresholds of AI-ECG risk score for LV dysfunction.
The effect estimates were more pronounced in rigorous cohort studies in the UK and Brazil, likely due to more complete & robust outcome capture vs EHR
The effect estimates were more pronounced in rigorous cohort studies in the UK and Brazil, likely due to more complete & robust outcome capture vs EHR
Study design⬇️. We posited that cross-sectional signatures of LV dysfunction on AI-ECG would portend future HF risk.
Rather than build models for HF risk with time-varying confounding, we focused on a mechanistic approach.
+ broadly validated the result vs. risk scores
Rather than build models for HF risk with time-varying confounding, we focused on a mechanistic approach.
+ broadly validated the result vs. risk scores
January 24, 2025 at 4:43 PM
Study design⬇️. We posited that cross-sectional signatures of LV dysfunction on AI-ECG would portend future HF risk.
Rather than build models for HF risk with time-varying confounding, we focused on a mechanistic approach.
+ broadly validated the result vs. risk scores
Rather than build models for HF risk with time-varying confounding, we focused on a mechanistic approach.
+ broadly validated the result vs. risk scores
The work is a collaboration between our growing global Precardia network - a network of federated science in AI. Watch this space for more: precardia.org
Tagging those on here: @ekoikonomou.bsky.social @aline-pedroso.bsky.social
Tagging those on here: @ekoikonomou.bsky.social @aline-pedroso.bsky.social
January 24, 2025 at 4:43 PM
The work is a collaboration between our growing global Precardia network - a network of federated science in AI. Watch this space for more: precardia.org
Tagging those on here: @ekoikonomou.bsky.social @aline-pedroso.bsky.social
Tagging those on here: @ekoikonomou.bsky.social @aline-pedroso.bsky.social