ClinicalTrials.gov
public full text
Public Domain
Hemodynamics and Myocardial Injury After Non-cardiac Surgery
The incidence of myocardial injury after non-cardiac surgery (MINS) is approximately 12-15% and is associated with an increased risk of 30-day mortality, 1-year mortality, and 2-year major vascular events. Using both traditional longitudinal analysis techniques and novel methods in machine learning, investigators will explore whether intraoperative and postoperative vital signs can enhance MINS surveillance by providing temporal prediction of MINS events.
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Prediction Is Not Detection: Evaluating Pre-Recognition Claims in Longitudinal Clinical AI#1061480
- AI-ECG for Time-Resolved Prediction of HFrEF#1032867
- Trajectory-Based Phenotyping After Coronary Artery Bypass Surgery#1150153
- Derivation and Prospective Validation of a Simple Index for Prediction of Cardiac Risk of Major Noncardiac Surgery#6597
- Physics-Informed Hemodynamic Modeling for Data-Free Prediction and Sparse-Data Assimilation#1013888
Record · ID 884699
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive