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Updated: Jun 18, 2026

Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma
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在接种疫苗和未接种疫苗的SARS-CoV-2-阳性患者中使用人工智能的图像学发现,这些患者在三级肺部医院接受住院治疗

Alexandru Stoichita1,2, Maria Ghita3,4, Beatrice Mahler1,2

  • 1Faculty of Medicine, University of Medicine and Pharmacy "Carol Davila", 050474 Bucharest, Romania.

Journal of clinical medicine
|November 25, 2023
PubMed
概括

患有严重急性呼吸道综合征冠状病毒2 (SARS-CoV-2) 的未接种疫苗的人在CT扫描上显示出明显更多的肺病变. 人工智能分析强调了疫苗接种和人工智能在解释肺损伤方面的重要性.

关键词:
这就是SARS-CoV-2病毒.人工智能的人工智能是人工智能.图像解释 图像解释肺部损伤 肺部损伤 肺部损伤接种疫苗 接种疫苗

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Live Imaging and Quantification of Viral Infection in K18 hACE2 Transgenic Mice Using Reporter-Expressing Recombinant SARS-CoV-208:41

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Pneumonia IV: Management01:28

Pneumonia IV: Management

The treatment of pneumonia varies based on its severity and the causative pathogen. Here is a structured approach to managing pneumonia, integrating pharmaceutical and supportive care strategies.
Bacterial Pneumonia Treatment
For bacterial pneumonia, antibiotics serve as the cornerstone of therapy. Initial treatment often begins with empirical antibiotics, tailored to the anticipated causative organism and adjusted based on culture results. Key antibiotic choices include: