The Neural Frontier of Future Medical Imaging: A Review of Deep Learning for Brain Tumor Detection by Tarek Berghout

“…Early and accurate diagnosis is vital for improving patient outcomes, however, traditional methods, such as manual Magnetic Resonance Imaging (MRI) analysis, are often time-consuming and error-prone. …”
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River Surface Space–Time Image Velocimetry Based on Dual-Channel Residual Network by Ling Gao, Zhen Zhang, Lin Chen, Huabao Li

“…An adaptive threshold Sobel operator in the edge channel improves the model’s ability to extract edge features in STI. …”
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B-UMCS: Blockchain-enabled Unified Medical Consultancy Service. by Albatoul Almohana, Iman Almomani, Walid El-Shafai

“…This work details the B-UMCS's components, interactions, smart contracts, protocols, algorithms, storage and transmission of EHRs, and their corresponding implementations. …”
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From Misinformation to Insight: Machine Learning Strategies for Fake News Detection by Despoina Mouratidis, Andreas Kanavos, Katia Kermanidis

“…Through extensive experimentation across multiple datasets, our results demonstrate that BERT-based models consistently achieve superior performance, significantly improving detection accuracy in complex misinformation scenarios. …”
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Advances in sensor technologies for breast cancer detection: a comprehensive review of imaging and non-imaging approaches by Emmy Bhatti, Prabhpreet Kaur

“…Wearable sensors and artificial intelligence-based systems are essential for continuous monitoring and data interpretation. Major improvements have been realized in the performance of sensors, which have been measured by parameters such as specificity, sensitivity, and reliability. …”
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The Potential of Unsupervised Induction of Harmonic Syntax for Jazz by Ruben Cartuyvels, John Koslovsky, Marie-Francine Moens

“…Hierarchical structures describing a syntax of harmony have long been studied and proposed by music theorists, but algorithms that model these structures either require costly expert annotations for training or are based on music theorists' predispositions about harmonic syntax. …”
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An Intelligent Diagnostic System to Analyze Early-Stage Chronic Kidney Disease for Clinical Application by N. I. Md. Ashafuddula, Bayezid Islam, Rafiqul Islam

“…This highlights its potential as a promising computer-aided diagnosis tool for doctors, enabling early interventions and improving patient outcomes.…”
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Review on Key Technologies for Autonomous Navigation in Field Agricultural Machinery by Hongxuan Wu, Xinzhong Wang, Xuegeng Chen, Yafei Zhang, Yaowen Zhang

“…Furthermore, tighter integration among perception, planning, and control modules will be crucial for improving system-level intelligence and coordination in real-world agricultural environments.…”
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Reinforcement learning applications in water resource management: a systematic literature review by Linus Kåge, Vlatko Milić, Vlatko Milić, Maria Andersson, Magnus Wallén

“…Future research should address the challenges of bridging the gap between simulation and real-world applications and focus on improving the explainability of the decision-making process. …”
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The role of artificial intelligence in enhancing disaster preparedness and trauma care by Mohamad Sorani

“…This review examines the various applications of AI in forecasting disaster events, optimizing resource allocation, facilitating real-time monitoring, and improving communication among all stakeholders involved.The influence of AI on trauma care is equally significant, with advanced technologies enhancing patient triage, diagnostics, and surgical assistance, particularly in high-pressure situations. …”
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Osteoarthritis: management strategies depending on the location of lesions by N. A. Shostak, N. G. Pravduk, M. O. Anischenko, M. S. Dzhauari

“…There is a growing interest in phytopharmaceuticals, a heterogeneous group of molecules with a high capacity of suppressing inflammation, oxidative stress, and pain, as well as improving joint function. Mucosate® in capsules (DIAMED-pharma, Russia) is one of currently available complex products with phytocompounds. …”
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Implementation status of European guidelines on trauma management of prehospital bleeding control: a national survey in Austria by Julia Doescher, Sibylle Langenecker

“…Conclusions This study highlights the potential for improving the implementation of trauma and bleeding management Guidelines in the prehospital setting. …”
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Method for Selecting Pulsed Signals by Their Duration in Fading Channels by M. V. Buhaiov, S. V. Zakirov

“…The aim of the work is improving pulsed signals processing methods in fading channels by selecting its’ durations. …”
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Multi-omics analysis untangles the crosstalk between intratumor microbiome, lactic acid metabolism and immune status in lung squamous cell carcinoma by Xun Qiu, Dan Li

“…Multiple machine learning algorithms were used to generate the LUSC classification. …”
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A new shape clustered leg sizing system for mass customization fit of compression garments by Qian Mao, Rong Liu, Jingyun Lv, Rama Gheerawo

“…The developed leg shape-based sizing matrix also identified groups of highly correlated leg shapes, facilitating rapid dimensional transformation across shapes and thereby improving fitting efficiency in the mass customization of compression garments.…”
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Predicting cancer risk using machine learning on lifestyle and genetic data by Mohamed Abdelmoaty Ahmed, Ahmed AbdelMoety, Asmaa Mohamed Ahmed Soliman

“…Abstract Cancer remains one of the leading causes of mortality worldwide, where early detection significantly improves patient outcomes and reduces treatment burden. …”
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Enhancing semi‐supervised contrastive learning through saliency map for diabetic retinopathy grading by Jiacheng Zhang, Rong Jin, Wenqiang Liu

“…Moreover, the performance of these algorithms is hampered by the scarcity of large‐scale, high‐quality annotated data. …”
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Prediction and optimization of hardness in AlSi10Mg alloy produced by laser powder bed fusion using statistical and machine learning approaches by İnayet Burcu Toprak

“…In addition, Machine Learning algorithms were applied to predict hardness values. …”
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Climate risk and low-carbon policies: implications for sports economics and global events by Siyu Fu, Chen Kong

“…ICSF, on the other hand, leverages game theory and optimization algorithms to enhance decision-making in areas such as resource allocation, salary cap management, and sustainability-oriented strategic planning.ResultsEmpirical results from multiple datasets and experiments confirm that the integration of climate risk and low-carbon policy variables significantly improves the predictive accuracy and resilience of economic planning in the sports sector.DiscussionThis research provides theoretical advancements and practical insights for policymakers, sports managers, and investors seeking to navigate the complex interplay between sustainability and profitability in a rapidly changing global environment.…”
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Fusion of Masked Autoencoder for Adaptive Augmentation Sequential Recommendation by SUN Xiujuan, SUN Fuzhen, LI Pengcheng, WANG Aofei, WANG Shaoqing

“…For example, it improves by 4.59% on the HR@5 metric and 8.89% on the NDCG@5 metric compared with the most advanced baseline.…”
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