Advances in research on risk factors and associated diseases of intrapancreatic fat deposition by LEICHAO Wenwei, RAO Jialing, ZHOU Mengxue, YANG Hong

“…With the rapid development of artificial intelligence (AI), AI-assisted imaging is expected to provide more accurate and comprehensive diagnostic tools for IPFD in the near future. …”
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Effects of traditional Chinese exercises or their integration with medical treatments on cognitive impairment: a network meta-analysis based on randomized controlled trials by Jiadong Qiu, Sungmin Kim, Sungmin Kim, Sungmin Kim

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Applying a Convolutional Vision Transformer for Emotion Recognition in Children with Autism: Fusion of Facial Expressions and Speech Features by Yonggu Wang, Kailin Pan, Yifan Shao, Jiarong Ma, Xiaojuan Li

“…This study offers a technical direction for the use of intelligent perception technology in the realm of special education and enriches the theory of emotional intelligence perception of children with autism.…”
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Federated learning for privacy-enhanced mental health prediction with multimodal data integration by Parul Dubey, Pushkar Dubey, Pitshou N. Bokoro

“…Mental health diagnostics, an evolving domain in healthcare, aims to enhance early detection and intervention strategies. The integration of artificial intelligence (AI) and machine learning has facilitated advanced predictive models, but concerns related to data privacy and security remain significant challenges. …”
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Linguistic biomarkers of dementia in Italian patients living in Lombardy: insights from NLP analysis by Maria Letizia Piccini Bianchessi, Gloria Gagliardi

“…Therefore, a timely diagnosis is crucial for early intervention. For this reason, researchers from different disciplines are trying to find the “biomarkers” of dementia to obtain a detailed profiling of this disease and its etiology. …”
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Antiparasitic Pharmacology Goes to the Movies: Leveraging Generative AI to Create Educational Short Films by Benjamin Worthley, Meize Guo, Lucas Sheneman, Tyler Bland

“…The intervention involved two short films, <i>Alien: Parasites Within</i> and <i>Wormquest</i>, designed to teach antiparasitic pharmacology to first-year medical students. …”
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AI-Mediated Language Learning and EFL Learners’ Self-Confidence, Self-Regulation, Well-Being, and L2 Motivation: A Mixed Method Study by Arash Hashemifardnia, Masumeh Kooti

“…Artificial Intelligence (AI)-mediated language learning supports student-centered approaches in language education. …”
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X-Events as Determinants of the Sixth Kondratieff Wave by John Casti

“…Implied is a reference to so-called «extreme events» (X-events) — hardly predictable, often unexpected short-term phenomena, whose intervention reverses the current trend in an opposite direction and may cause huge destructive effects. …”
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Drawing a line in the sandbox: balancing exploration and instruction in AI playgrounds by Tim Worth

“… Following the release of ChatGPT and similar generative artificial intelligence (GenAI) tools, many universities have committed to helping their students become AI literate (see for example Russell Group, 2023). …”
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An Automatic Framework Recognizing the Relationships of Cultural Heritage by Zizhan Zhang, Zijun Zhou, Yingchun Cao

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Research on learning achievement classification based on machine learning. by Jianwei Dong, Ruishuang Sun, Zhipeng Yan, Meilun Shi, Xinyu Bi

“…At the same time, it has also promoted innovation and development in the intelligence of the education system.…”
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From Meals to Marks: Modeling the Impact of Family Involvement on Reading Performance with Counterfactual Explainable AI by Myint Swe Khine, Nagla Ali, Othman Abu Khurma

“…This study investigates the impact of family engagement on student reading achievement in the United Arab Emirates (UAE) using counterfactual explainable artificial intelligence (CXAI) analysis. Drawing data from 24,600 students in the UAE PISA dataset, the analysis employed Gradient Boosting, SHAP (SHapley Additive exPlanations), and counterfactual simulations to model and interpret the influence of ten parental involvement variables. …”
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Prediction of prognosis and renal outcome in lupus nephritis by Farah Tamirou, Ioannis Parodis, Frédéric A Houssiau

“…Novel non-invasive imaging methods and employment of the evolving artificial intelligence in pattern recognition may also be helpful towards these goals. …”
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Tools and methods for cataract recognition in low-resource settings: A narrative review. by Paulina N Truong, Elizabeth A Merlinsky, Nicholas C Maamari, Christina Y Weng, Andrew G Lee

“…Such efforts can aid in addressing the disparity between cataract diagnosis and surgical intervention in low-resource environments. However, improvements in research infrastructure are needed to support such efforts and the ability to thoroughly evaluate new innovations.…”
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Gender stereotypes and female exercise behavior: mediating roles of psychological needs and negative emotions by Kai Guo, Qian Huang

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A systematic review of the predictive factors for the recurrence of acute pancreatitis by Daniela Pacella, Adriano De Simone, Adolfo Pisanu, Gianluca Pellino, Lucio Selvaggi, Valentina Murzi, Eleonora Locci, Giulia Ciabatti, Laura Mastrangelo, Elio Jovine, Matteo Rottoli, Giacomo Calini, Stefano Cardelli, Fausto Catena, Carlo Vallicelli, Raffaele Bova, Gabriele Vigutto, Fabrizio D’Acapito, Giorgio Ercolani, Leonardo Solaini, Alan Biloslavo, Paola Germani, Camilla Colutta, Pasquale Lepiane, Rosa Scaramuzzo, Savino Occhionorelli, Domenico Lacavalla, Maria Grazia Sibilla, Stefano Olmi, Matteo Uccelli, Alberto Oldani, Alessio Giordano, Tommaso Guagni, Davina Perini, Francesco Pata, Bruno Nardo, Daniele Paglione, Giusi Franco, Matteo Donadon, Marcello Di Martino, Salomone Di Saverio, Luca Cardinali, Grazia Travaglini, Dario Bruzzese, Mauro Podda

“…Increased and systematic adoption of artificial intelligence-based tools could significantly impact future knowledge relating to the risks of recurrence and relative possibilities of prevention.…”
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Clinicians must participate in the development of multimodal AI by Christopher R.S. Banerji, Aroon Bhardwaj Shah, Ben Dabson, Tapabrata Chakraborti, Vicky Hellon, Chris Harbron, Ben D. MacArthur

“…Summary: Multimodal artificial intelligence (AI) is a powerful new technological advance, capable of simultaneously learning from diverse data types, such as text, images, video, and audio. …”
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Research hot topics and frontiers in social anxiety over the past decade: a CiteSpace bibliometric analysis based on Web of Science database from 2013 to 2023 by Peng Zhang, Peng Zhang, Peng Zhang, Mingliang Wang, Lin Ding, Jianing Zhang, Yuqing Yuan, Xin Tian

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Design of a Video Otoscope Prototype with an Integrated Scanner for Hearing Aid Direct Digital Manufacturing: A Preliminary Study by Cândida Malça, Francisco Ganhão, António Carvalho Santos, Carla Silva, Carla Moura

“…This invasive procedure poses several risks, including the potential for silicone residue retention and tympanic membrane perforation, which may necessitate surgical intervention. To mitigate these risks, we present the design of a video otoscope that integrates a scanner capable of capturing high-precision, real-time images of the EEC’s geometry. …”
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Predict and prevent microvascular complications of type 2 diabetes: a cross-sectional and longitudinal study in Chinese communities by Zhaoxiang Liu, Lianhao Zhou, Wenhui Zhao, Lixia Jin, Jinping Zhang, Yajing Zhang, Yufeng Li, Guixia Deng, Jiquan He, Xinghua Zhao, Wenli Zheng, Yong Tian, Ji Wu, Ji Wu, Jianzhong Xiao, Jianzhong Xiao, Jiandong Gao, Jiandong Gao

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