Co-Optimized Design of Islanded Hybrid Microgrids Using Synergistic AI Techniques: A Case Study for Remote Electrification by Ramia Ouederni, Innocent E. Davidson

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Correlating Patient Symptoms and CT Morphology in AI-Detected Incidental Pulmonary Embolisms by Selim Abed, Lucas Brandstetter, Klaus Hergan

“…<b>Background/Objectives</b>: Incidental pulmonary embolisms (IPEs) may be asymptomatic and radiologists may discover them for unrelated reasons, and they can thereby go underdiagnosed and undertreated. Artificial intelligence (AI) has emerged as a possible aid to radiologists in identifying IPEs. …”
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Navigating Medical School with AI: A Student’s Perspective by Rohit Raj Bhatta, Inesh Khanal

“…Traditionally, we've relied on textbooks, scholarly articles, guidance from senior colleagues, and patient interactions to bridge these gaps but with recent advancements in computational models and algorithms, Artificial Intelligence has been a blessing. …”
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Deepfake and Media Ethics by Sorin Suciu

“…The advancement of artificial intelligence in a manner similar to the evolution of the living world through adaptation to the social environment and survival of the fittest algorithms has led to the emergence of species of programs that challenge the way media products are made and used. …”
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A comparative study of deepfake facial manipulation technique using generative adversarial networks by Wasin Al Kishri, Jabar H. Yousif, Mahmood Al Bahri, Muhammad Zakarya, Naveed Khan, Sanad Sulaiman Al Maskari, Ahmet Gurhanli

“…Furthermore, this article discusses potential challenges and promising research directions for future investigation. …”
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AI-Driven Optimization of Multilayer Thin-Film Structures for Advanced Optical Applications by Emad Alkhazraji, Sani Mukhtar, Haitham Khaled, Jaime Viegas

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Adaptive AI-enhanced computation offloading with machine learning for QoE optimization and energy-efficient mobile edge systems by Dinesh Kumar Nishad, Vandna Rani Verma, Pushkar Rajput, Sandeep Gupta, Anurag Dwivedi, Dharti Raj Shah

“…The key innovation lies in our hybrid architecture’s ability to dynamically adjust offloading strategies based on real-time network conditions, user mobility patterns, and application requirements, addressing limitations of existing single-algorithm solutions. Through extensive MATLAB simulations with 50–200 mobile users and 4–10 edge servers, our framework demonstrates superior performance compared to state-of-the-art methods. …”
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Designing Predictive Tools for Personalized Functionalities in Knitted Performance Wear by Martijn ten Bhömer, Hai-Ning Liang, Difeng Yu, Yuanjin Liu, Yifan Zhang, Eva de Laat, Carola Leegwater

“…The main research question explored in this article is: “How can designers benefit from intelligent design software for the manufacturing of advanced personalized functionalities in textile products?”. …”
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Hypotensive episodes on program hemodialysis during dialysis procedure: modern approach for diagnostics, prophylaxis and correction by V. Yu. Shilo, I. Yu. Drachev

“…In all patients, automatic non-invasive measurement of arterial pressure (AP) was performed using a built-in option of the “artificial kidney” device. …”
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Evaluating accountability, transparency, and bias in AI-assisted healthcare decision- making: a qualitative study of healthcare professionals’ perspectives in the UK by Saoudi CE Nouis, Victoria Uren, Srushti Jariwala

“…Abstract Background While artificial intelligence (AI) has emerged as a powerful tool for enhancing diagnostic accuracy and streamlining workflows, key ethical questions remain insufficiently explored—particularly around accountability, transparency, and bias. …”
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AI-enhanced patient-specific dosimetry in I-131 planar imaging with a single oblique view by Mostafa Jalilifar, Mahdi Sadeghi, Alireza Emami-Ardekani, Ahmad Bitarafan-Rajabi, Kouhyar Geravand, Parham Geramifar

“…Abstract This study aims to enhance the dosimetry accuracy in 131I planar imaging by utilizing a single oblique view and Monte Carlo (MC) validated dose point kernels (DPKs) alongside the integration of artificial intelligence (AI) for accurate dose prediction within planar imaging. …”
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Мethods of Machine Learning in Ophthalmology: Review by D. D. Garri, S. V. Saakyan, I. P. Khoroshilova-Maslova, A. Yu. Tsygankov, O. I. Nikitin, G. Yu. Tarasov

“…Artificial intelligence is a subsection of computer science and its principles, and concepts are often incomprehensible or used and interpreted by doctors incorrectly. …”
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High‑frequency skin ultrasound possibilities in terms of diagnosing liver cirrhosis by D. Yu. Shestakova, A. V. Borsukov

“…The following parameters were evaluated: epidermal thickness, dermal thickness, pixel‑ index. Artificial intelligence was used for additional semi‑quantitative assessment of echograms.Results. …”
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Explainable Machine Learning in the Prediction of Depression by Christina Mimikou, Christos Kokkotis, Dimitrios Tsiptsios, Konstantinos Tsamakis, Stella Savvidou, Lillian Modig, Foteini Christidi, Antonia Kaltsatou, Triantafyllos Doskas, Christoph Mueller, Aspasia Serdari, Kostas Anagnostopoulos, Gregory Tripsianis

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A new approach in prevention and correction of intradialysis hypotension in patients on maintenance hemodialysis by I. Yu. Drachev, V. Yu. Shilo, G. S. Dzhulay

“…Upon closer examination of the intradialysis pressure variations, the intradialysis blood pressures were 110.2 ± 17.3 and 68.3 ± 13.9 mm Hg when measured by using the standard approach, and significantly higher: 124 ± 20.5 and 75.9 ± 14.2 mm Hg when the automatic pressure monitoring system was used (p = 0.03; p = 0.02). Also, higher mean arterial pressures were noted: 82.5 ± 13.9 with the standard approach vs.91.5 ± 15.6 mm Hg (p = 0.01) with the automatic pressure monitoring system. …”
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NeuralConstraints: integrating a neural generative model with constraint-based composition by Juan S. Vassallo, Örjan Sandred, Julien Vincenot

“…This article outlines the technical implementation of the core functionalities of ‘NeuralConstraints’ and illustrates their application through specific tests and examples of use.…”
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Detection of Fake Instagram Accounts via Machine Learning Techniques by Stefanos Chelas, George Routis, Ioanna Roussaki

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First study of the RuPatient health information system with optical character recognition of medical records based on machine learning by A. A. Komkov, V. P. Mazaev, S. V. Ryazanova, D. N. Samochatov, E. V. Koshkina, E. V. Bushueva, O. M. Drapkina

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Machine learning and thermodynamic modeling for optimizing hydrogen production via algae-biomass co-gasification by Thanadol Tuntiwongwat, Takashi Yukawa, Thongchai Rohitatisha Srinophakun, Kanit Manatura, Somboon Sukpancharoen, Seyedali Mirjalili

“…This study pioneers the integration of algae-biomass co-gasification with six ML algorithms to optimize H2 production and syngas quality through comprehensive thermodynamic modeling and artificial intelligence (AI). …”
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Construction of a feature gene and machine prediction model for inflammatory bowel disease based on multichip joint analysis by Yan Chaosheng, Sun Haowen, Rao Jingjing, Dai Yuanyuan, Duan Wenhui, Sheng Yingyue, Xue Yuzheng

“…On the basis of methods such as artificial neural networks (ANNs), machine learning techniques, and the SHAP model, we developed a diagnostic model for IBD. …”
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