Robotics & Machine Learning Daily News2024,Issue(Jun.28) :1-2.

Egypt-Japan University of Science and Technology Reports Findings in Machine Lea rning (Minimization of occurrence of retained surgical items using machine learn ing and deep learning techniques: a review)

埃及-日本科技大学报告了机器学习的发现(使用机器学习和深度学习技术将保留的手术项目的发生最小化:综述)

Robotics & Machine Learning Daily News2024,Issue(Jun.28) :1-2.

Egypt-Japan University of Science and Technology Reports Findings in Machine Lea rning (Minimization of occurrence of retained surgical items using machine learn ing and deep learning techniques: a review)

埃及-日本科技大学报告了机器学习的发现(使用机器学习和深度学习技术将保留的手术项目的发生最小化:综述)

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摘要

机器人与机器学习的新闻编辑每日新闻-机器学习的新研究是一篇报道的主题。根据NewsRx记者从埃及亚历山大市发回的新闻报道,研究称,“保留的手术物品(RSIs)对患者和医护人员构成重大风险,促使进一步努力降低其发生率。RSI是手术后无意中留在患者身体上的物体,可能导致感染和死亡等严重后果。”这项研究的财政支持来自埃及日本大学。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Machine Learning is th e subject of a report. According to news reporting originating from Alexandria, Egypt, by NewsRx correspondents, research stated, “Retained surgical items (RSIs ) pose significant risks to patients and healthcare professionals, prompting ext ensive efforts to reduce their incidence. RSIs are objects inadvertently left wi thin patients’ bodies after surgery, which can lead to severe consequences such as infections and death.” Financial support for this research came from Egypt Japan University.

Key words

Alexandria/Egypt/Africa/Cyborgs/Emer ging Technologies/Health and Medicine/Machine Learning

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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