The role of artificial intelligence in automating decision–making processes in project management by E. O. Lebedeva

“…It is concluded that the introduction of AI into project management should be based on a systematic approach, represented by training team members, adapting existing processes, and ensuring the transparency of algorithms. …”
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Artificial intelligence in primary aldosteronism: current achievements and future challenges by Yisi Xu, Benjin Liu, Xuqi Huang, Xudong Guo, Ning Suo, Shaobo Jiang, Hanbo Wang

“…For diagnosis, AI-driven algorithms have further enhanced the specificity of PA identification. …”
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Artificial Intelligence in IVF Laboratories: Elevating Outcomes Through Precision and Efficiency by Yaling Hew, Duygu Kutuk, Tuba Duzcu, Yagmur Ergun, Murat Basar

“…However, integrating AI also brings ethical, regulatory, and societal challenges, including concerns about data security, algorithmic bias, and the human–machine interface in clinical decision-making. …”
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Application of artificial intelligence in gastrointestinal endoscopy in Vietnam: a narrative review by Hang Viet Dao, Binh Phuc Nguyen, Tung Thanh Nguyen, Hoa Ngoc Lam, Trang Thi Huyen Nguyen, Thao Thi Dang, Long Bao Hoang, Hung Quang Le, Long Van Dao

“…In Vietnam, since 2019, several preliminary studies have been conducted to develop AI algorithms for GI endoscopy, focusing on lesion detection. …”
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Artificial Intelligence in cancer epigenomics: a review on advances in pan-cancer detection and precision medicine by Karishma Sahoo, Prakash Lingasamy, Masuma Khatun, Sajitha Lulu Sudhakaran, Andres Salumets, Vino Sundararajan, Vijayachitra Modhukur

“…Future directions include integrating multi-omics data, developing explainable AI frameworks, and addressing ethical concerns, such as data privacy and algorithmic bias. …”
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Cloud-magnetic resonance imaging system: In the era of 6G and artificial intelligence by Yirong Zhou, Yanhuang Wu, Yuhan Su, Jing Li, Jianyu Cai, Yongfu You, Jianjun Zhou, Di Guo, Xiaobo Qu

“…This system is called Cloud-MRI, aiming at solving the problems of MRI data storage security, transmission speed, artificial intelligence (AI) algorithm maintenance, hardware upgrading, and collaborative work. …”
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Communicating the use of artificial intelligence in agricultural and environmental research by Aaron Lee M. Daigh, Samira H. Daroub, Peter M. Kyveryga, Mark E. Sorrells, Nithya Rajan, James A. Ippolito, Endy Kailer, Christine S. Booth, Umesh Acharya, Deepak Ghimire, Saurav Das, Bijesh Maharjan, Yufeng Ge

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Internet of Things in healthcare: An adaptive ethical framework for IoT in digital health by Abubakar Wakili, Sara Bakkali

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Applications of artificial intelligence in thoracic imaging: a review by Arjun Kalyanpur, Neetika Mathur

“…It leverages deep learning algorithms, particularly convolutional neural networks, which are increasingly integrated into thoracic imaging workflows to assist radiologists in diagnosing and evaluating heart, vascular, lung, and thoracic diseases. …”
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Automatic Segmentation of the Infraorbital Canal in CBCT Images: Anatomical Structure Recognition Using Artificial Intelligence by Ismail Gumussoy, Emre Haylaz, Suayip Burak Duman, Fahrettin Kalabalık, Muhammet Can Eren, Seyda Say, Ozer Celik, Ibrahim Sevki Bayrakdar

“…<b>Conclusions:</b> Accurate identification and preservation of the IOC during surgical procedures are of critical importance to maintaining a patient’s functional and sensory integrity. The findings of this study demonstrated that the IOC can be detected with high precision and accuracy using an AI-based automatic segmentation method in CBCT images. …”
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Strategies for Implementing Artificial Intelligence in Human Resource Management by Suprayitno Suprayitno

“…It also evaluates the challenges faced during AI adoption, including ethical concerns, algorithmic bias, and organizational resistance. …”
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A chemical autonomous robotic platform for end-to-end synthesis of nanoparticles by Fan Gao, Hongqiang Li, Zhilong Chen, Yunai Yi, Shihao Nie, Zihao Cheng, Zeming Liu, Yuanfang Guo, Shumin Liu, Qizhen Qin, Zhengjian Li, Lisong Zhang, Han Hu, Cunjin Li, Liang Yang, Yunhong Wang, Guangxu Chen

“…To overcome these challenges, we developed a data-driven automated platform integrating artificial intelligence (AI) decision modules with automated experiments. …”
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Applications of Artificial Intelligence in the Study and Diagnosis of Orbital Pathologies: State of the Art and Future Directions by Luca Michelutti, Alessandro Tel, Massimo Robiony, Edoardo Agosti, Tamara Ius, Giuseppe Catapano, Caterina Gagliano, Marco Zeppieri

“…Methods: Selected studies were included for the conduct of this review by adopting the PRISMA guidelines. Results: AI algorithms represent an innovative tool for orbital diagnostics with potential applications in screening, surgery planning, and follow-up. …”
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A Comparative Analysis of Artificial Intelligence Regulatory Law in Asia, Europe, and America by Alfiani Francisca Romana Nanik, Santiago Faisal

“…The result of research shown that technological advances are impacting human life at an unprecedented rate. AI has become integral to various sectors, transforming industries, fuelling innovation, and reshaping the way people live and work. …”
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Enhanced Vector Quantization for Embedded Machine Learning: A Post-Training Approach With Incremental Clustering by Thommas K. S. Flores, Morsinaldo Medeiros, Marianne Silva, Daniel G. Costa, Ivanovitch Silva

“…TinyML enables the deployment of Machine Learning (ML) models on resource-constrained devices, addressing a growing need for efficient, low-power AI solutions. However, significant challenges remain due to strict memory, processing, and energy limitations. …”
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Probabilistic phase labeling and lattice refinement for autonomous materials research by Ming-Chiang Chang, Sebastian Ament, Maximilian Amsler, Duncan R. Sutherland, Lan Zhou, John M. Gregoire, Carla P. Gomes, R. Bruce van Dover, Michael O. Thompson

“…In addition to efficient phase labeling, CrystalShift offers quantitative insights into materials’ structural parameters, which facilitate both expert evaluation and AI-based modeling of the phase space, ultimately accelerating materials identification and discovery.…”
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Electrification in Maritime Vessels: Reviewing Storage Solutions and Long-Term Energy Management by Ahmet Aksöz, Burçak Asal, Saeed Golestan, Merve Gençtürk, Saadin Oyucu, Emre Biçer

“…Unlike many existing reviews that focus exclusively on battery chemistries or energy management algorithms, this manuscript integrates multiple aspects of maritime electrification—including propulsion types, charging infrastructure, grid systems (MVDC), EMS, BMS, and AI applications—into one cohesive systems-level review. …”
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Research on the policy inconsistency, network motifs and low carbon effects for municipal solid waste management by Bo Lv, Tianxu Cui, Daiheng Li, Weiyue Yao

“…Notably, the low - carbon effect of MSWM lacks validation, calling for stronger low - carbon policies. By integrating network science and explainable AI, the study reveals that while policy consistency weakly correlates with carbon reduction (r = 0.125, p = 0.5508), network structural features significantly affect policy outcomes. …”
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Low-latency neuromorphic air hockey player by Juan P Romero B, Dimitrios Korakovounis, Jens E Pedersen, Jorg Conradt

“…Neuromorphic engineering seeks to emulate these neurobiological principles to develop compact, low-power systems capable of real-time sensory-motor integration. This approach addresses some limitations of traditional AI and holds promise for autonomous systems that can interact robustly with the real world. …”
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High-Performance Real-Time Human Activity Recognition Using Machine Learning by Pardhu Thottempudi, Biswaranjan Acharya, Fernando Moreira

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