Personalized decision making for coronary artery disease treatment using offline reinforcement learning
Abstract Choosing optimal revascularization strategies for patients with obstructive coronary artery disease (CAD) remains a clinical challenge. While randomized controlled trials offer population-level insights, gaps remain regarding personalized decision-making for individual patients. We applied...
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| Main Authors: | Peyman Ghasemi, Matthew Greenberg, Danielle A. Southern, Bing Li, James A. White, Joon Lee |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-02-01
|
| Series: | npj Digital Medicine |
| Online Access: | https://doi.org/10.1038/s41746-025-01498-1 |
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