Transformative Gamified Binocular Therapy for Unilateral Amblyopia in Young Children: Pilot Prospective Efficacy and Safety Study by Wenqing Zhu, Shuneng Gu, Jian Li, Jin Lin, Chanling Hu, Rui Liu

“…The therapy used a roguelike shooting game delivered under binocular conditions through two independent channels with a real-time artificial intelligence visual engine. Assessments of distance visual acuity (DVA), near visual acuity (NVA), and SA were conducted at baseline and again at 4, 8, and 12 weeks. …”
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Theoretical system of levels of constructing vehicle movement of ground urban electric transport vehicle by Aukhadeev A. E.

“…Digitalization of the transport industry and the use of artificial intelligence technologies in the automation of control of its main processes determine the need to search for new approaches to the description of electrical complexes and systems of transport purpose, their internal and external system properties. …”
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Models for the marrow: A comprehensive review of AI‐based cell classification methods and malignancy detection in bone marrow aspirate smears by Tabita Ghete, Farina Kock, Martina Pontones, David Pfrang, Max Westphal, Henning Höfener, Markus Metzler

“…Abstract Given the high prevalence of artificial intelligence (AI) research in medicine, the development of deep learning (DL) algorithms based on image recognition, such as the analysis of bone marrow aspirate (BMA) smears, is rapidly increasing in the field of hematology and oncology. …”
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Welcome Note by Faisal Masud Faisal Masud

“…Fast-changing paradigms of each sub-specialty of Medicine, the ever-increasing role of Artificial-Intelligence (AI), the importance of data mining, and complex misinformation (infodemic) call for a further refined approach to curriculum. …”
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State of the Art in Automated Operational Modal Identification: Algorithms, Applications, and Future Perspectives by Hasan Mostafaei, Mahdi Ghamami

“…Techniques based on machine learning (ML), deep learning (DL), and artificial intelligence (AI) are explored for their ability to automate feature extraction, classification, and decision making in large-scale SHM systems. …”
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Concept of agroedutourism based on smart farming in integrated farming systems by Sumiasih Inanpi Hidayati, Puspitawati Mutiara Dewi, Yadarabullah Yadarabullah

“…Next, the development of an artificial intelligence system was carried out and implemented on a scale of agroedutourism in vegetable crops in greenhouses, compost fertilizer from the cultivation of star fruit commodities, and biofloc fisheries systems. …”
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Dynamic simulation of breast behaviour during different activities based on finite element modelling of multiple components of breast by Jiazhen Chen, Zejun Zhong, Yue Sun, Joanne Yip, Kit-lun Yick

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Learning model combined with data clustering and dimensionality reduction for short-term electricity load forecasting by Hyun-Jung Bae, Jong-Seong Park, Ji-hyeok Choi, Hyuk-Yoon Kwon

“…It has evolved from statistical methods to artificial intelligence-based techniques that use machine learning models. …”
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Fiber Optic Micro-Hole Salinity Sensor Based on Femtosecond Laser Processing by Chen Li, Chao Fan, Hao Wu, Xxx Sedao, Jiang Wang

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FOX-TSA: Navigating Complex Search Spaces and Superior Performance in Benchmark and Real-World Optimization Problems by Sirwan A. Aula, Tarik A. Rashid

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An Embodied Intelligence System for Coal Mine Safety Assessment Based on Multi-Level Large Language Models by Yi Sun, Faxiu Ji

“…Artificial intelligence (AI), particularly through advanced large language model (LLM) technologies, is reshaping coal mine safety assessment methods with its powerful cognitive capabilities. …”
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Heavy and Lightweight Deep Learning Models for Semantic Segmentation: A Survey by Cristina Carunta, Alina Carunta, Calin-Adrian Popa

“…We provide a detailed review comprising the most significant methods for both heavy and lightweight two-dimensional (2D) semantic segmentation, starting with the introduction of convolutional neural networks until the use of Transformer architecture, the latter being a widely adopted model with state-of-the-art results in several artificial intelligence fields. The methods involved are described from the architectural design perspective, including encoder-decoder architectures, multi-resolution branches approaches, two-pathway encoder architectures, attention-based models, and pyramid-based models. …”
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The construction of intelligent nursing and healthcare management platform (智能化健康护理管理平台建设探索) by ZHANG Yuhong (张育红), ZHANG Yuxia (张玉侠)

“…By using cloud computing and artificial intelligence technology, the intelligent health care management platform aims to establish health care decision-making models, such as evaluation, prediction and intervention, and provide personalized health management services. …”
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GLOBAL TRENDS IN REPUTATION MANAGEMENT by Daria Kharamurza, Viktoriia Soshynska

“…Among the current trends in reputation management, the following are important: the presence of a higher goal of the corporate brand, high-quality communication with various groups of stakeholders as the basis of the business strategy, cybersecurity and data protection, the integration of artificial intelligence into work processes (including communication processes), and the ethics of its use. …”
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An overview of smart agriculture using internet of things (IoT) and web services by Vijaya Choudhary, Paramita Guha, Giovanni Pau, Sunita Mishra

“…IoT integrates wireless sensor networks, artificial intelligence, and cloud computing to boost productivity while minimizing costs and losses. …”
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“Tele-everything” world and hybrid office model – new global trends after the COVID-19 pandemic by E. V. Vasilieva

“…A number of measures have been proposed to monitor and improve the resource status of staff in organisations, including the use of computer systems that can conduct real-time assessments of employee performance and engagement based on artificial intelligence technologies.…”
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ECG-based transfer learning for cardiovascular disease: A scoping review by Sharifah Noor Masidayu Sayed Ismail, Siti Fatimah Abdul Razak, Nor Azlina Ab Aziz

“…Advancements in medical diagnosis using artificial intelligence have popularised transfer learning among researchers in machine learning and deep learning. …”
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Towards Transparent Diabetes Prediction: Combining AutoML and Explainable AI for Improved Clinical Insights by Raza Hasan, Vishal Dattana, Salman Mahmood, Saqib Hussain

“…This study integrates Automated Machine Learning (AutoML) with Explainable Artificial Intelligence (XAI) to improve diabetes risk prediction and enhance model interpretability for healthcare professionals. …”
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Cardiovascular health in perspective: a comprehensive five-year geodatabase of hospitalizations and environmental factors in Mashhad, Iran by Shahab MohammadEbrahimi, Mohammad Dehghan, Behzad Kiani

“…Using a spatiotemporal dataset of over 52,000 hospitalized CVD patients collected over five years, the study supports approaches like advanced spatiotemporal modeling, artificial intelligence, and machine learning to predict high-risk CVD areas and guide public health interventions. …”
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Volatile Organic Compounds for the Prediction of Lung Cancer by Using Ensembled Machine Learning Model and Feature Selection by Divya Khanna, Arun Kumar, Shahid Ahmad Bhat

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