Skip navigation
Search
Sciety application settings
Home
Groups
Explore
Newsletter
About
Log In
Sign Up
Personalized decision making for coronary artery disease treatment using offline reinforcement learning
Peyman Ghasemi
Matthew Greenberg
Danielle A. Southern
Bing Li
James A. White
Joon Lee
Read the full article
See related articles
Listed in
This article is not in any list yet, why not save it to one of your lists.
Log in to save this article
Abstract
No abstract available
Article activity feed
Version published to 10.1038/s41746-025-01498-1
Feb 14, 2025
Version published to 10.21203/rs.3.rs-4911576/v1 on Research Square
Oct 15, 2024
Related articles
AI-based identification of patients who benefit from revascularization: a multicenter study
This article has 28 authors:
Wenhao Zhang
Robert JH Miller
Krishna Patel
Aakash D. Shanbhag
Joanna X Liang
Mark Lemley
Giselle Ramirez
Valerie Builoff
Jirong Yi
Jianhang Zhou
Paul Kavanagh
Wanda Acampa
Timothy M Bateman
Marcelo Di Carli
Sharmila Dorbala
Andrew J Einstein
Mathews B Fish
M. Timothy Hauser
Terrence D. Ruddy
Philipp A Kaufmann
Edward J Miller
Tali Sharir
Monica Martins
Julian Halcox
Panithaya Chareonthaitawee
Damini Dey
Daniel S Berman
Piotr J Slomka
Health economic simulation modeling of an AI-enabled clinical decision support system for coronary revascularization
This article has 9 authors:
Tom Mullie
Arjun Puri
Emma Bogner
Bryan Har
Colm J. Murphy
Robert C. Welsh
Benjamin Tyrrell
Christopher L. F. Sun
Joon Lee
Accurate machine learning-based CVD risk prediction in primary care may reduce the need for routine health care checks
This article has 10 authors:
Katarzyna Dziopa
Sophie Eastwood
Daniel Bos
Maryam Kavousi
Maarten J.G. Leening
Joline W J Beulens
Peter P Harms
Nishi Chaturvedi
Folkert W Asselbergs
Amand Floriaan Schmidt
Site navigation links
Home
Groups
Explore
Newsletter
About
Log In
Sign Up