Robotics & Machine Learning Daily News2024,Issue(Jul.4) :83-83.

Data on Artificial Intelligence Reported by Mahla Abdolahnejad and Colleagues (C omparing artificial intelligence guided image assessment to current methods of b urn assessment)

Mahla Abdolahnejad及其同事报告的人工智能数据(将人工智能引导的图像评估与当前的B urn评估方法进行比较)

Robotics & Machine Learning Daily News2024,Issue(Jul.4) :83-83.

Data on Artificial Intelligence Reported by Mahla Abdolahnejad and Colleagues (C omparing artificial intelligence guided image assessment to current methods of b urn assessment)

Mahla Abdolahnejad及其同事报告的人工智能数据(将人工智能引导的图像评估与当前的B urn评估方法进行比较)

扫码查看

摘要

一位新闻记者兼机器人与机器学习的工作人员新闻编辑每日新闻-人工智能的新研究是一篇报道的主题。据NewsRx记者从加拿大多伦多发回的新闻报道,研究表明,“适当识别烧伤深度和大小至关重要。尽管已经发展了烧伤深度评估IDS[例如激光多普勒成像(LDI)],但以67%的准确度评估部分厚度烧伤深度的临床评估目前仍然是最一致的实践标准。”

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Artificial Intelligenc e is the subject of a report. According to news originating from Toronto, Canada , by NewsRx correspondents, research stated, “Appropriate identification of burn depth and size is paramount. Despite the development of burn depth assessment a ids [e.g., laser doppler imaging (LDI)], c linical assessment, which assesses partial thickness burn depth with 67% accuracy, currently remains the most consistent standard of practice.”

Key words

Toronto/Canada/North and Central Ameri ca/Artificial Intelligence/Business/Emerging Technologies/Machine Learning

引用本文复制引用

出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
段落导航相关论文