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Updated: Jul 27, 2026

Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma
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[基于深度学习的冠状动脉支架需求预测研究]

Shu Zuo1, Shidong Cheng1, Zhitao Peng1

  • 1Zhongnan Hospital of Wuhan University, Wuhan, 430071.

Zhongguo yi liao qi xie za zhi = Chinese journal of medical instrumentation
|December 25, 2025
PubMed
概括

这项研究使用深度学习来预测冠状动脉支架需求,优化供应链. 变压器模型表现出卓越的准确性,确保高效的支架可用性.

关键词:
变压器模型模型冠状动脉支架冠状动脉支架深度学习是一种深度学习.需求预测 需求预测

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Diagnosing acute coronary syndrome or ACS begins with a thorough patient history. Notable symptoms include central, crushing chest pain radiating to the left arm, neck, jaw, or back, along with shortness of breath, sweating (diaphoresis), nausea, vomiting, dizziness, and palpitations.It is crucial to note any history of cardiac illnesses and assess risk factors, including age, gender, smoking, hypertension, diabetes, hyperlipidemia, and a sedentary lifestyle.During physical examination, vital...