医学
蛛网膜下腔出血
重症监护医学
人工智能
神经科学
心理学
外科
计算机科学
作者
Saif Salman,Qiangqiang Gu,Rohan Sharma,Yujia Wei,Benoît Dherin,Sanjana Reddy,Rabih G. Tawk,William D. Freeman
标识
DOI:10.1016/j.jns.2023.120832
摘要
Aneurysmal subarachnoid hemorrhage (SAH) is a subtype of hemorrhagic stroke with thirty-day mortality as high as 40%. Given the expansion of Machine Learning (ML) and Artificial intelligence (AI) methods in health care, SAH patients desperately need an integrated AI system that detects, segments, and supports clinical decisions based on presentation and severity.
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