ClinicalTrials.gov
public full text
Public Domain
AI-assisted Subtyping-directed Precision Treatment in Acute Aortic Dissection
Aortic dissection has acute onset and high mortality, with immunoinflammatory response driving lesion progression. Current perioperative anti-inflammatory therapies are mostly empirical and poorly targeted, and AI-assisted typing lacks a complete clinical translation pathway. This study integrates multi-dimensional data to construct an AI immunoinflammatory subtyping system, enabling rapid subtyping and establishing a "subtyping-target-treatment" closed loop for emergency needs. Using a prospective multicenter RCT, 300 patients are randomly divided into two groups: the experimental group receives subtyping-based precision therapy, while the control group uses empirical strategies (treatment of physician's choice). It observes 7-day postoperative SOFA score, SIRS and other prognostic indicators to provide evidence-based support for precision treatment.
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
- Research on artificial intelligence, machine and deep learning in medicine: global characteristics, readiness, and equity#1335361
- Precision Medicine and Artificial Intelligence in Next-Generation Cancer Surgery: A Comprehensive Analysis of Clinical Applications, Therapeutic Outcomes, and Implementation Strategies.#263196
- Data-Driven Strategies in Orthopaedics: Optimizing Surgical Precision and Patient Outcomes.#320530
- A Locally Executable AI System for Improving Preoperative Patient Communication: Multidomain Clinical Evaluation.#392819
- Improving Medical Calculation of LLMs with Embedded Coding#1115864
Record · ID 1364084
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