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Updated: Jan 10, 2026

Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma
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弥合人工智能驱动的心脏瘤学的差距:全球进展和中东的前景

Arif Albulushi1, Hatem Al-Farhan2

  • 1Department of Adult Cardiology, National Heart Center, The Royal Hospital, Muscat, Oman. dr.albulushi@gmail.com.

Cardio-oncology (London, England)
|November 28, 2025
PubMed
概括

人工智能 (AI) 通过改善心脏毒性检测和风险评估来增强心脏瘤学. 然而,全球一体化面临着挑战,特别是在资源较少的环境中,需要战略投资和公平的解决方案.

关键词:
人工智能增强的成像技术人工智能的人工智能是人工智能.心脏瘤学是一门专业.心脏有毒性 - 心脏有毒性数字健康差异数字健康差异全球卫生公平性全球卫生公平性预测建模的预测建模.可穿戴设备可以穿戴.

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