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Updated: Jun 9, 2025

Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma

Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma

Published on: October 10, 2018

在规模上的精度:机器学习彻底改变了腹腔镜外科手术.

Carlos M Ardila¹, Daniel González-Arroyave²

¹Biomedical Stomatology Research Group, Universidad de Antioquia U de A, Medellín 0057, Colombia. martin.ardila@udea.edu.co.

World journal of clinical oncology

|October 30, 2024

概括

此摘要是机器生成的。

对早期卵巢癌而言,微创腹腔镜手术比开放手术更有效,更安全. 机器学习集成有望进一步提高手术过程中的精度和患者的结果.

科学领域:

微创手术是最少的侵入性手术.
在瘤学瘤学.
医学技术医学技术医学技术

背景情况:

与传统的开放手术相比,在全身麻醉下进行的最小侵入性腹腔镜手术在早期卵巢癌中显示出更高的疗效和安全性.
这项研究强调了机器学习 (ML) 在彻底改变腹腔镜手术中的潜力.

关键词:

计算机的神经网络计算机的神经网络手动辅助腹腔镜术是指手动辅助腹腔镜术.腹腔镜检查 (Laparoscopy) 是一个非常好的方法.机器学习是机器学习.最少侵入性的外科手术程序.

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