围手术期
甲骨文公司
医学
临床试验
物理疗法
机器学习
计算机科学
外科
内科学
软件工程
作者
Bradley A. Fritz,Christopher R. King,Mohamed Abdelhack,Yixin Chen,Alex Kronzer,Joanna Abraham,Sandhya Tripathi,Arbi Ben Abdallah,Thomas Kannampallil,Thaddeus P. Budelier,Daniel L. Helsten,Arianna Montes de,Divya Mehta,Pratyush Sontha,Omokhaye Higo,Paul Kerby,Stephen H. Gregory,Troy S. Wildes,Michael S. Avidan
标识
DOI:10.1016/j.bja.2024.08.004
摘要
Anaesthesiologists might be able to mitigate risk if they know which patients are at greatest risk for postoperative complications. This trial examined the impact of machine learning models on clinician risk assessment.
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