Exploring the associations of gut microbiota with inflammatory and the early hematoma expansion in intracerebral hemorrhage: from change to potential therapeutic objectives by Haixiao Jiang, Wei Zeng, Fei Zhu, Xiaoli Zhang, Demao Cao, Aijun Peng, Hongsheng Wang

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The role of renal dual-energy computed tomography in exploring the gouty kidney: the RENODECT study by Tristan Pascart, Elie Dauphin, Chio Yokose, Charlotte Jauffret, Aurore Pacaud, Victor Laurent, Vincent Ducoulombier, Hyon K. Choi, Jean-François Budzik

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Mutual mediation effects of homocysteine and PCSK9 on coronary lesion severity in patients with acute coronary syndrome: interplay with inflammatory and lipid markers by Ping Jin, Juan Ma, Peng Wu, Yitong Bian, Xueping Ma, Shaobin Jia, Qiangsun Zheng

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Comprehensive analysis of clinicopathologic and prognostic features in locally advanced thyroid papillary cancer by Liang Jiwang, Ye Dongman, Fang Fengqin, Zhao Yuejiao

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Prevalence of symptoms suggestive of sleep apnea among children and its impact on academic performance by Silvia D. Boyajian, Muna A. Salameh, Kholoud Alzyoud, Enas A. Amaireh, Lujayn Badah, Malek Al Qutami, Mira Alsharayri, Osama Abubaker, Rzan Shwashreh

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Transcervical resection of myoma (TCRM): Part I by Peng-Hui Wang, Szu-Ting Yang, Wen-Hsun Chang, Hung-Hsien Liu, Wen-Ling Lee

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Fabrication and characterization of V-doped ZnO films implemented to lead-free piezoelectric micromachined devices by Xingxu Zhang, Hao Wu, Yuhui Zhang, Jian Luo, Tao Ye, Kai Tao, Jinjun Deng, Binghe Ma, Weizheng Yuan

“…Piezoelectric micromachined ultrasonic transducers (p-MUTs) have been extensively utilized in medical imaging, range-finding, gesture recognition, and so on. …”
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Patterns of regional recurrence in papillary thyroid cancer patients with lateral neck metastases undergoing neck dissection by Jason J. Xu, Eugene Yu, Caitlin McMullen, Jesse Pasternak, Jim Brierley, Richard Tsang, Han Zhang, Antoine Eskander, Lorne Rotstein, Anna M. Sawka, Ralph Gilbert, Jonathan Irish, Patrick Gullane, Dale Brown, John R. de Almeida, David P. Goldstein

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A bibliometric analysis of 30 years of research on transarterial radioembolization (TARE) for hepatocellular carcinoma by Tongyao Hu, Tongyao Hu, Qifan Xu, Qifan Xu, Guorong Jia, Tao Wang, Changjing Zuo

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MRI-based deep learning radiomics to differentiate dual-phenotype hepatocellular carcinoma from HCC and intrahepatic cholangiocarcinoma: a multicenter study by Qian Wu, Tao Zhang, Fan Xu, Lixiu Cao, Wenhao Gu, Wenjing Zhu, Yanfen Fan, Ximing Wang, Chunhong Hu, Yixing Yu

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Angiographic Restenosis in Coronary Bifurcations Treatment with Regular Drug Eluting Stents and Dedicated Bifurcation Drug-Eluting BiOSS Stents: Analysis Based on Randomized POLBOS... by Robert J. Gil, Jacek Bil, Adam Kern, Luis A. Iñigo-Garcia, Radoslaw Formuszewicz, Slawomir Dobrzycki, Dobrin Vassilev, Roxana Mehran

“…Morphological pattern of in-stent restenosis according to the modified Mehran classification adopted for bifurcation lesions was assessed with bifurcation dedicated quantitative coronary angiographic software (CAAS 5.11, Pie Medical Imaging BV, the Netherlands). Results. In total, 445 patients (222 patients in BiOSS group and 223 patients in DES group) were included into the analysis. …”
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Optimization of TMS target engagement: current state and future perspectives by Pantelis Lioumis, Pantelis Lioumis, Pantelis Lioumis, Timo Roine, Timo Roine, Ida Granö, Dogu Baran Aydogan, Dogu Baran Aydogan, Elena Ukharova, Victor H. Souza, Dubravko Kičić, Risto J. Ilmoniemi, Nikos Makris, Nikos Makris, Nikos Makris, Nikos Makris

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Protective Effects of Baicalein on Lipopolysaccharide-Induced AR42J PACs through Attenuation of Both Inflammation and Pyroptosis via Downregulation of miR-224-5p/PARP1 by Ming-Wei Liu, Chun-Hai Zhang, Shou-Hong Ma, De-Qiong Zhang, Li-Qiong Jiang, Yang Tan

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Large Language Model Approach for Zero-Shot Information Extraction and Clustering of Japanese Radiology Reports: Algorithm Development and Validation by Yosuke Yamagishi, Yuta Nakamura, Shouhei Hanaoka, Osamu Abe

“…Clustering allows for the identification of similar lesions and disease patterns across a broad dataset, making it useful for aggregating information and discovering new insights in medical imaging. However, most publicly available medical datasets are in English, with limited resources in other languages. …”
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Differences in technical and clinical perspectives on AI validation in cancer imaging: mind the gap! by Ioanna Chouvarda, Sara Colantonio, Ana S. C. Verde, Ana Jimenez-Pastor, Leonor Cerdá-Alberich, Yannick Metz, Lithin Zacharias, Shereen Nabhani-Gebara, Maciej Bobowicz, Gianna Tsakou, Karim Lekadir, Manolis Tsiknakis, Luis Martí-Bonmati, Nikolaos Papanikolaou

“…The work is based on a set of structured questions encompassing several AI validation topics, addressed to professionals working in AI for medical imaging. A total of 49 responses were obtained and analysed to identify trends and patterns. …”
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Case report: PD-L1-targeted high-affinity natural killer cells and IL-15 superagonist N-803-based therapy extend overall survival of advanced metastatic pancreatic cancer patients by Tara Seery, Lennie Sender, Omid Jafari, Frank Jones, Patricia Spilman, Sandeep B. Reddy, Patrick Soon-Shiong

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Left-Right Brain-Wide Asymmetry of Neuroanatomy in the Mouse Brain by Andrew Silberfeld, James M. Roe, Jacob Ellegood, Jason P. Lerch, Lily Qiu, Yongsoo Kim, Jong Gwan Lee, William D. Hopkins, Joanes Grandjean, Yangming Ou, Olivier Pourquié

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Three-dimensional ultrasound fusion imaging in precise needle placement for thermal ablation of hepatocellular carcinoma by Jiaming Liu, Yuqing Guo, Yueting Sun, Ming Liu, Xiaoer Zhang, Ruiying Zheng, Longfei Cong, Baoxian Liu, Xiaoyan Xie, Guangliang Huang

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Innovative Deep Learning Architecture for the Classification of Lung and Colon Cancer From Histopathology Images by Menatalla M. R. Said, Md. Sakib Bin Islam, Md. Shaheenur Islam Sumon, Semir Vranic, Rafif Mahmood Al Saady, Abdulrahman Alqahtani, Muhammad E. H. Chowdhury, Shona Pedersen

“…However, with substantial technological advancements, deep learning (DL) has emerged as a potent tool in clinical settings, particularly in the realm of medical imaging. This study leveraged the LC25000 dataset, encompassing 25,000 images of lung and colon tissue, introducing an innovative approach by employing a self-organized operational neural network (Self-ONN) to accurately detect lung and colon cancer in histopathology images. …”
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Exercise medicine as adjunct therapy during RADIation for CAncer of the prostaTE to improve treatment efficacy – protocol for the ERADICATE study: a phase II randomised controlled... by Oliver Schumacher, Robert U. Newton, Colin Tang, Raphael Chee, Sjoerd B. Vos, Ronny S. Low, David Joseph, Dennis R. Taaffe, Daniel A. Galvão

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