Evolution of artificial intelligence in healthcare: a 30-year bibliometric study by Yaojue Xie, Yuansheng Zhai, Yuansheng Zhai, Guihua Lu, Guihua Lu

“…Moving forward, concerted efforts to bolster international collaboration and enhance comprehension and utilization of AI technologies are imperative for fostering novel innovations in healthcare.…”
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Latent spectral-spatial diffusion model for single hyperspectral super-resolution by Yingsong Cheng, Yong Ma, Fan Fan, Jiayi Ma, Yuan Yao, Xiaoguang Mei

“…To address these issues, we propose a novel latent spectral-spatial diffusion model (LSDiff) for single hyperspectral SR. …”
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Non-linear enhancement of ultrafast X-ray diffraction through transient resonances by Stephan Kuschel, Phay J. Ho, Andre Al Haddad, Felix F. Zimmermann, Leonie Flueckiger, Matthew R. Ware, Joseph Duris, James P. MacArthur, Alberto Lutman, Ming-Fu Lin, Xiang Li, Kazutaka Nakahara, Jeff W. Aldrich, Peter Walter, Linda Young, Christoph Bostedt, Agostino Marinelli, Tais Gorkhover

“…Abstract Diffraction-before-destruction imaging with ultrashort X-ray pulses can visualize non-equilibrium processes, such as chemical reactions, with sub-femtosecond precision in the native environment. …”
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Network Representation Based on the Joint Learning of Three Feature Views by Zhonglin Ye, Haixing Zhao, Ke Zhang, Zhaoyang Wang, Yu Zhu

“…Experimental results show that the proposed TFNR algorithm performs well in network vertex classification and visualization tasks on three real citation network datasets.…”
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Increased Depth of Cellular Imaging in the Intact Lung Using Far-Red and Near-Infrared Fluorescent Probes by Abu-Bakr Al-Mehdi, Mita Patel, Abu Haroon, Darla Reed, B. Ohlsson-Wilhelm, K. Muirhead, Brian D. Gray

“…The maximum depth of cell visualization was significantly improved with the novel dyes (36.4±1 μm from the pleural surface) compared with GFP (30.1±0.5 μm; p=0.01; n=50). …”
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Assessing groundwater quality and suitability in Qatar: Strategic insights for sustainable water management and environmental protection by Sarra Aloui, Adel Zghibi, Annamaria Mazzoni, Ahmad S. Abushaikha, Adel Elomri

“…Suitability for use was assessed using the drinking water quality index (DWQI) and a novel integrated irrigation water quality index (IWQI), constructed upon seven standard indices. …”
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IL-6-Inducing Peptide Prediction Based on 3D Structure and Graph Neural Network by Ruifen Cao, Qiangsheng Li, Pijing Wei, Yun Ding, Yannan Bin, Chunhou Zheng

“…In this study, we propose a novel IL-6-inducing peptide prediction method called DGIL-6, which integrates 3D structural information with graph neural networks. …”
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3D Web Application of Wind Prediction Under Typhoon on Coastal Cities Based on Ensemble k-NN and OpenFOAM by Mamad Tamamadin, Seong-Hoon Kee, Jurng-Jae Yee

“…To anticipate the impact, this study proposes a novel approach to integrate the typhoon track predictions generated by an ensemble k-Nearest Neighbors (k-NN) as the reference locations of the typhoon center. …”
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Evaluating Meaningful Changes in Patient‐Reported Outcome Measurement Information System–Fatigue Scores from Three Phase 3 Clinical Trials of Sarilumab for Patients With Rheumatoid... by Clifton O. Bingham, Emily Molina, Amy Praestgaard, Stefano Fiore, David Cella

“…This study demonstrates the ability to convert FACIT‐Fatigue score onto the PROMIS T score metric, the rapid reduction in fatigue with biologic therapies, and the use of novel eCDF curves to show individual patient‐level change.…”
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PGTransNet: a physics-guided transformer network for 3D ocean temperature and salinity predicting in tropical Pacific by Song Wu, Senliang Bao, Wei Dong, Senzhang Wang, Xiaojiang Zhang, Chengcheng Shao, Junxing Zhu, Xiaoyong Li

“…In this paper, we proposed PGTransNet, a novel physics-guided transformer network for 3D Ocean temperature and salinity forecasting. …”
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Identification of Key Genes and Prognostic Value Analysis in Hepatocellular Carcinoma by Integrated Bioinformatics Analysis by Meng Wang, Licheng Wang, Shusheng Wu, Dongsheng Zhou, Xianming Wang

“…This study is aimed at identifying novel key genes that may be used for hepatocellular carcinoma (HCC) diagnosis, prognosis, and targeted therapy. …”
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Utilization of Cardiac Magnetic Resonance Imaging for Assessing Myocardial Fibrosis in Prognosis Evaluation and Risk Stratification of Patients with Dilated Cardiomyopathy by Xin-Yi Feng, Yu-Cong Zheng, Ying-Xia Yang, Wen-Feng He, Fan Yang, Ling-Li Wang, Han-Feng Yang, Chun-Ping Li, Xiao-Xue Xu, Rui Li

“…With advancements in modern medicine, several novel techniques for evaluating myocardial involvement and disease severity from diverse perspectives have been developed. …”
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Cross-sectional study on the association between neutrophil-percentage-to-albumin ratio (NPAR) and prevalence of stroke among US adults: NHANES 1999–2018 by Chenglin Ye, Yong Mo, Tiansheng Su, Guangxiang Huang, Jiachao Lu, Shuling Tang, Qianrong Huang, Qiuyun Li, Qian Jiang, Fangzhou Guo, Pinghua Wu, Guozhong Zhang, Jun Yan

“…The neutrophil-to-albumin ratio (NPAR) is a relatively novel composite biomarker of inflammation, which has been used for prognostication in cardiovascular diseases and may also be associated with stroke. …”
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Membrane-bound model of the ternary complex between factor VIIa/tissue factor and factor X by Melanie P. Muller, Alex Mortenson, Josepha C. Sedzro, Po-Chao Wen, James H. Morrissey, Emad Tajkhorshid

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Metasurface higher-order poincaré sphere polarization detection clock by Hui Yang, Kai Ou, Qiang Liu, Meiyu Peng, Zhenwei Xie, Yuting Jiang, Honghui Jia, Xinbin Cheng, Hui Jing, Yueqiang Hu, Huigao Duan

“…We actualize this concept through a novel meta-device known as the metasurface photonics polarization clock, which offers an intuitive display of SoP using four distinct pointers. …”
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ORCHAMP: an observation network for monitoring biodiversity and ecosystem functioning across space and time in mountainous regions by Thuiller, Wilfried, Saillard, Amélie, Abdulhak, Sylvain, Augé, Vincent,  Birck, Carole, Bonet, Richard, Choler, Philippe, Delestrade, Anne,  Kunstler, Georges, Leccia, Marie-France, Lienard, Bertrand, Poulenard, Jérome, Valay, Jean-Gabriel, Bayle, Arthur, Bonfanti, Nicolas, Brousset, Lenka,  Bizard, Léa,  Calderón-Sanou, Irene, Dentant, Cédric, Desjonquères, Camille, Gielly, Ludovic, Guéguen, Maya, Guiter, Frédéric, Hedde, Mickael,  Hustache, Eric, Kedhim, Norine, Lapenu, Pierre, Le Guillarme, Nicolas,  Marchal, Lise, Mahieu, Chloé, Martin, Gabrielle, Martinez-Almoyna, Camille,  Miele, Vincent, Murienne, Jérôme, Paillet, Yoan, Rome, Maxime,  Renaud, Julien, The Orchamp Consortium

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An endoscopic ultrasound-based interpretable deep learning model and nomogram for distinguishing pancreatic neuroendocrine tumors from pancreatic cancer by Nan Yi, Shuangyang Mo, Yan Zhang, Qi Jiang, Yingwei Wang, Cheng Huang, Shanyu Qin, Haixing Jiang

“…These methodologies contributed substantial net benefits to clinical decision-making processes. A novel interpretable DL model and nomogram were developed and validated using EUS images, cooperating with machine learning algorithms. …”
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UNet-Att: a self-supervised denoising and recovery model for two-photon microscopic image by Yuer Lu, Yongfa Ying, Chen Lin, Yan Wang, Jun Jin, Xiaoming Jiang, Jianwei Shuai, Xiang Li, Jinjin Zhong

“…Abstract Two-photon microscopy is indispensable in cell and molecular biology for its high-resolution visualization of cellular and molecular dynamics. However, the inevitable low signal-to-noise conditions significantly degrade image quality, obscuring essential details and complicating morphological analysis. …”
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Validation of a tele-robotic ultrasound system for abdomen and thyroid gland explorations: a comparison with standard ultrasound by Andreu Antolin, Nuria Roson, Marina Planes, Mar Castillo, Anna Alberti, Manuel Escobar

“…Abstract Background Tele-robotic ultrasound (US) is a novel technique that might help overcome the current shortage of radiologists and poor access to radiologists and/or sonographers in remote or rural areas. …”
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Facial expression recognition through muscle synergies and estimation of facial keypoint displacements through a skin-musculoskeletal model using facial sEMG signals by Lun Shu, Victor R. Barradas, Zixuan Qin, Yasuharu Koike

“…This study introduces a novel framework using surface electromyography (sEMG) signals from facial muscles to recognize facial expressions and estimate the displacement of facial keypoints during the execution of the expressions. …”
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