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Miloš Ajčević

University of Trieste
H指数:23
被引数:1,773

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CT Perfusion in lacunar stroke: a powerful tool to enhance lacunar stroke detection and prediction of patients’ outcome

腔隙性脑卒中中的CT灌注:一种增强腔隙性脑卒中检测和预测患者预后的有力工具

2026-07-310
OA
PHENO-RAG: An artificial intelligence tool for guideline-informed management decisions in hepatocellular carcinoma

PHENO-RAG:一种用于基于指南管理的肝细胞癌人工智能决策工具

2026-03-010
OAAI
Enhancing differential diagnosis of IHD and DCM using interpretable machine learning in mildly reduced ejection fraction

利用可解释机器学习增强轻度射血分数降低时缺血性心脏病和非缺血性心肌病的鉴别诊断

2025-11-180
PRE
CT perfusion in the acute setting: a useful tool in the differential diagnosis of aphasic syndromes

CT灌注在急性期:区分失语症综合征的一种有用工具

2025-10-010
PRE
Early Point-of-Care EEG in acute stroke: prevalence and predictive factors of early post-stroke Status Epilepticus (e-PSSE)

急性卒中早期床旁脑电图:卒中后早期癫痫持续状态(e-PSSE)的患病率及预测因素

2025-09-250
OAAI
Cortical Network Topological Modifications Underlie Clinical Evolution in the Acute Phase of Ischemic Stroke

皮质网络拓扑修饰构成了缺血性卒中急性期临床演变的病理生理学基础。

2025-08-200
PRE
Expert of Experts Verification and Alignment (EVAL) Framework for Large Language Models Safety in Gastroenterology

专家专家验证和对齐 (EVAL) 框架,用于胃肠病学中的大语言模型安全性

2025-05-030
OA