Prevention and management of degenerative lumbar spine disorders through artificial intelligence-based decision support systems: a systematic review by Paolo Giaccone, Federico D’Antoni, Fabrizio Russo, Luca Ambrosio, Giuseppe Francesco Papalia, Onorato d’Angelis, Gianluca Vadalà, Albert Comelli, Luca Vollero, Mario Merone, Rocco Papalia, Vincenzo Denaro

“…Abstract Background Low back pain is the leading cause of disability worldwide with a significant socioeconomic burden; artificial intelligence (AI) has proved to have a great potential in supporting clinical decisions at each stage of the healthcare process. …”
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Research on Material Design of Medical Products for Elderly Families Based on Artificial Intelligence by Jinjin Rong, Xu Ji, Xin Fang, Moon-Hwan Jee

“…The information is evaluated, and decisions are made by AI, while the developed machine performs the appropriate task. …”
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GBM-Reservoir: Brain tumor (Glioblastoma Multiforme) MRI dataset collection with ground truth segmentation masksfigshare by Naida Solak, André Ferreira, Gijs Luijten, Behrus Puladi, Victor Alves, Jan Egger

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Information Security and Artificial Intelligence–Assisted Diagnosis in an Internet of Medical Thing System (IoMTS) by Pi-Yun Chen, Yu-Cheng Cheng, Zi-Heng Zhong, Feng-Zhou Zhang, Neng-Sheng Pai, Chien-Ming Li, Chia-Hung Lin

“…Recently, artificial intelligence (AI)- based methods are being increasingly applied to preprocess digital data and extract features. …”
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Mapping knowledge landscapes and emerging trends in artificial intelligence for antimicrobial resistance: bibliometric and visualization analysis by Zhongli Wang, Zhongli Wang, Gaopei Zhu, Shixue Li, Shixue Li

“…From enhancing the fast, efficient and predictive performance of drug discovery methods, current AI capabilities have revealed observable potential to be proactive in combating the ever-growing challenge of AMR worldwide. …”
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Cover Story

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Artificial Intelligence in Science and Society: The Vision of USERN by Tommaso Dorigo, Gary D. Brown, Carlo Casonato, Artemi Cerda, Joseph Ciarrochi, Mauro da Lio, Nicole D'Souza, Nicolas R. Gauger, Steven C. Hayes, Stefan G. Hofmann, Robert Johansson, Marcus Liwicki, Fabien Lotte, Juan J. Nieto, Giulia Olivato, Peter Parnes, George Perry, Alice Plebe, Idupulapati M. Rao, Nima Rezaei, Fredrik Sandin, Andrey Ustyuzhanin, Giorgio Vallortigara, Pietro Vischia, Niloufar Yazdanpanah

“…The recent rise in relevance and diffusion of Artificial Intelligence (AI)-based systems and the increasing number and power of applications of AI methods invites a profound reflection on the impact of these innovative systems on scientific research and society at large. …”
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Real-world effectiveness and causal mediation study of BNT162b2 on long COVID risks in children and adolescentsResearch in context by Qiong Wu, Bingyu Zhang, Jiayi Tong, L. Charles Bailey, H. Timothy Bunnell, Jiajie Chen, Elizabeth A. Chrischilles, Dimitri A. Christakis, Stephen M. Downs, Kathryn Hirabayashi, Aaron D. Mishkin, Abu S.M. Mosa, Nathan M. Pajor, Suchitra Rao, Hanieh Razzaghi, Hayden T. Schwenk, Marion R. Sills, Huiyuan Wang, Linbo Wang, Yudong Wang, Dazheng Zhang, Ting Zhou, Ravi Jhaveri, Eric J. Tchetgen Tchetgen, Jeffrey S. Morris, Christopher B. Forrest, Yong Chen

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Integrating Artificial Intelligence in Language Curricula: Empowering Students for Future Competencies by Silvia Adamcová, Michaela Rusch

“…Additionally, the discussion will cover the implementation of these AI tools into foreign language curricula and classroom practices. …”
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Utilization of Artificial Intelligence for the automated recognition of fine arts. by Ruhua Chen, Mohammad Reza Ghavidel Aghdam, Mohammad Khishe

“…Fine art recognition, traditionally dependent on human expertise, is undergoing a significant transformation with the integration of Artificial Intelligence (AI) and deep learning. This article introduces a novel AI-based approach for fine art recognition, utilizing Convolutional Neural Networks (CNNs) and advanced feature extraction techniques. …”
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Transforming Cardiovascular Risk Prediction: A Review of Machine Learning and Artificial Intelligence Innovations by Dimitrios-Ioannis Kasartzian, Thomas Tsiampalis

“…Machine learning (ML) and artificial intelligence (AI) approaches represent a paradigm shift in risk prediction, offering dynamic, scalable solutions that integrate diverse data types. …”
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The role of artificial intelligence and image processing in the diagnosis, treatment, and prognosis of liver cancer: a narrative-review by Platon Dimopoulos, Admir Mulita, Andreas Antzoulas, Sylvain Bodard, Vasileios Leivaditis, Ioanna Akrida, Nikolaos Benetatos, Konstantinos Katsanos, Christos-Nikolaos Anagnostopoulos, Francesk Mulita

“…Artificial intelligence (AI) and image processing are revolutionising the diagnosis and management of liver cancer. …”
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IFC - Editorial Board

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Editorial Board

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Erratum regarding previously published articles

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Editorial Board

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IFC: Editorial Board

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Graphical Abstract

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ToC

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