Optimizing the early diagnosis of neurological disorders through the application of machine learning for predictive analytics in medical imaging by Vijaya Bhaskar Sadu, Sathvik Bagam, Mohd Naved, Siva Krishna Reddy Andluru, Kamalakar Ramineni, Meshal Ghalib Alharbi, Sudhakar Sengan, Rahmaan Khadhar Moideen

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Innovative methodological pillars for bibliometric studies: AI screening, data normalization and dual-tool analysis by Christos Stefanis, Elisavet Stavropoulou, Agathangelos Stavropoulos, Despoina Gyriki, Christos G. Nikolaidis, Vassilios Vassos, Evangelia Nena, Christina Tsigalou, Eugenia Bezirtzoglou

“…We propose and discuss four key methodological pillars: (i) formulation of precise research questions to guide design and metrics; (ii) the application of artificial intelligence (AI)-based tools for efficient and unbiased article screening; (iii) the normalization of research output data using economic indicators, such as gross domestic product, to improve cross-country comparisons and (iv) the use of dual-tool analysis—specifically VOSviewer and Biblioshiny—to validate bibliometric findings. …”
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The unwell patient with advanced chronic liver disease: when to use each score? by Oliver Moore, Wai-See Ma, Scott Read, Jacob George, Golo Ahlenstiel

“…Incorporating artificial intelligence to personalise predictive algorithms may provide the most effective prognostication for all clinical phenotypes. …”
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Key Concepts and Models of Strategic Innovation Management in Ukraine: Modern Approaches by Skrypnyk Svitlana V.

“…The second direction encompasses the digital transformation of innovation processes, particularly the implementation of artificial intelligence, big data technologies, and the Internet of Things. …”
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Tree Top Detection in UAV Data: Evaluating Accuracy of Different Estimation Techniques by A. Hosingholizade, Y. Erfanifard, Y. Erfanifard, S. K. Alavipanah, V. García Millan, S. Pirasteh, S. Pirasteh, A. N. Arslan, A. N. Arslan

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Highly Robust South Fork Zumbro River Flow Forecasting Based on Deep Temporal Modeling by Yingjun Sun, Peixia Wang, Chong Wang, Xiaodong Wang, Hailin Feng, Wei Wang, Kai Fang

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Efficacy of Mobile App–Based Dietary Interventions Among Cancer Survivors: Systematic Review and Meta-Analysis by Krista Ching Wai Chung, Naomi Takemura, Wendy Wing Tak Lam, Mandy Man Ho, Antoinette Marie Lee, Wynnie Yuen Yee Chan, Daniel Yee Tak Fong

“…Existing mobile apps could maintain important features such as feedback messages and dietary goal setting while considering the incorporation of artificial intelligence-powered food recognition in food logging and cancer-specific dietary recommendations.…”
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Electrophysiological characteristics in adolescents with non-suicidal self-injury: an event-related potential study and source analysis by Sung-Hoon Yoon, Ji Sun Kim, Hyeon-Ah Lee, Woo-Seung Lee, Young Wook Song, Se-Hoon Shim

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A machine learning model for predicting fertilization following short‐term insemination using embryo images by Masato Saito, Hirofumi Haraguchi, Ikumi Nakajima, Shinya Fukuda, Chenghua Zhu, Norio Masuya, Kazunori Matsumoto, Yuya Yoshikawa, Tomoki Tanaka, Satoshi Kishigami, Leona Matsumoto

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Enhancing 5G Vehicular Edge Computing Efficiency with the Hungarian Algorithm for Optimal Task Offloading by Mohamed Kamel Benbraika, Okba Kraa, Yassine Himeur, Khaled Telli, Shadi Atalla, Wathiq Mansoor

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Autonomous robotic pruning in orchards and vineyards: A review by Alessandro Navone, Mauro Martini, Marcello Chiaberge

“…Special attention is given to recent developments in machine vision, perception, plant skeletonization, and control strategies, areas that have experienced significant influence from advancements in artificial intelligence and machine learning. The analysis situates these technological trends within broader agricultural challenges, including rising labor costs, a decline in the number of young farmers, and the diverse pruning requirements of different fruit species such as apple, grapevine, and cherry trees.By comparing various robotic architectures and methodologies, this survey not only highlights the progress made toward autonomous pruning but also identifies critical open challenges and future research directions. …”
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Adaptive frequency optimization control strategy of electric vehicles participation in energy storage considering user active response margin by Li Cai, Chenxi Yang, Qingshan Xu, Leida Li, Zhen Gao, Juan Yan, Congwen Wang

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A novel ensemble Wasserstein GAN framework for effective anomaly detection in industrial internet of things environments by Rubina Riaz, Guangjie Han, Kamran Shaukat, Naimat Ullah Khan, Hongbo Zhu, Lei Wang

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Biophilic Design in the Built Environment: Trends, Gaps and Future Directions by Bekir Hüseyin Tekin, Gizem Izmir Tunahan, Zehra Nur Disci, Hatice Sule Ozer

“…In contrast, advanced tools like artificial intelligence, simulation, and VR are notably underused. …”
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Short and long-term impact of intravitreal anti-VEGF therapy interruption in retinal vein occlusion during the COVID-19 pandemic: functional outcomes and AI-based fluid analysis of... by Emmanuelle Moret, Jennifer Cattaneo, Adham Elwakil, Andrea Montesel, Mattia Tommasoni, Chiara M. Eandi

“…The OCT parameters were assessed by the mean of an artificial intelligence (AI) software (Discovery, RetinAI). …”
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Research trends in cervical cancer brachytherapy: a bibliometric analysis by Shuilan Bao, Yiren Wang, Yiheng Hu, Sheng Lin, Youhua Wang, Ke Yuan, Yun Zhou, Ping Zhou, Haowen Pang, Zhengyi Zuo

“…Future research is expected to focus on developing and enhancing artificial intelligence (AI) tools to optimize brachytherapy treatment planning, aiming to benefit a larger number of cervical cancer patients.…”
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Real-time monitoring of water quality dynamics using low-cost sensor networks in Lagos lagoon by Idowu Ayisat Aneyo, Mumin Olatunji Oladipo, Funmilayo Victoria Doherty, Julius Osato Ehigie, Adebayo Fasasi Adebari, Abdulwakeel Oluwatobi Atoyebi, Peter Ozomata Balogun, Ambrose Obinna Ikpele

“…This study demonstrates the feasibility of using artificial intelligence-powered, cost-effective sensor technology for continuous aquatic monitoring, with implications for biodiversity conservation and water resource management. …”
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Combination of Graph and Convolutional Networks for Brain Tumor Segmentation from Multi-Modal MR Images In Clinical Applications by Marjan Vatanpour, Javad Haddadnia, Shahryar Salmani Bajestani

“…Conclusion: New and creative advancements in artificial intelligence and its applications for medical image segmentation are very promising. …”
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Resource management optimisation of OFDM-IDMA system for 5G multi-tier backhaul networks by Altaf Osman Mulani, Nilima S. Warade, Osamah Ibrahim Khalaf, Qusay Bsoul, Dattatray Waghole, Makarand Jadhav, Vaishali Satish Jadhav, Akram Bennour, Firas Zawaideh, Deema Mohammed Alsekait, Diaa Salama AbdElminaam

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RSGPT: a generative transformer model for retrosynthesis planning pre-trained on ten billion datapoints by Yafeng Deng, Xinda Zhao, Hanyu Sun, Yu Chen, Xiaorui Wang, Xi Xue, Liangning Li, Jianfei Song, Chang-Yu Hsieh, Tingjun Hou, Xiandao Pan, Taghrid Saad Alomar, Xiangyang Ji, Xiaojian Wang

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