qER ASPECT score model.

<div><p>Background</p><p>Mechanical thrombectomy (MT) eligibility for acute ischemic stroke (AIS) patients depends upon clinical and advanced imaging assessments like CT perfusion (CTP). Assessment complexities and limited access to advanced imaging investigations are known c...

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التفاصيل البيبلوغرافية
المؤلف الرئيسي:	Arjun Agarwal (22238734) (author)
مؤلفون آخرون:	Nirman Bharti (22410741) (author), Tamaghna Ghosh (19207341) (author), Satish Golla (19207344) (author), Navpreet K. Bains (22410744) (author), Rashi Chamadia (22410747) (author), Dennis Robert (17598483) (author), Preetham Putha (5819153) (author), Adnan I. Qureshi (12448564) (author)
منشور في:	2025
الموضوعات:	Medicine Molecular Biology Neuroscience Biotechnology Developmental Biology Cancer Infectious Diseases Biological Sciences not elsewhere classified supervised learning methods response variable used enable faster referrals dec ’ 23 commercially available artificial apr ’ 20 88 &# 8211 85 ), 85 7 &# 8211 6 &# 8211 4 ± 14 4 ), respectively advanced imaging investigations suspected patients treated among 130 patients 2 ), respectively 2 &# 8211 160 underwent mt nihss ), last lkwt ), noncontrast acute ischemic stroke 96 ), 82 67 &# 8211 mt eligibility determination 50 split ). imaging data ctp ). 2 years mt eligible mt eligibility xlink "> test sets test set stroke centre retrospectively collected predicting eligibility mechanical thrombectomy limited access investigated using internal validation infarct volume developed machine consecutive cohort assessment complexities additionally included </ sub
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qER ASPECT score model.

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