Standardized conversion model for retinal thickness measurements between spectral-domain and swept-source optical coherence tomography based on machine learning by Zhongping Tian, Yinning Guo, Xi Chen, Qifeng Zhou, Yuan Liu, Zhizhu Yi, Li Zhang, Li Zhang

“…Inter-device measurement differences were evaluated through paired t-tests. Agreement metrics were quantified via intraclass correlation coefficients (ICCs) and Bland-Altman analysis. …”
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Identification and validation of clinical phenotypes in Staphylococcus aureus blood stream infection and their association with mortality (FEN-AUREUS cohort-based study)Research in... by Belén Gutiérrez-Gutiérrez, Belén Gallego-Mesa, Achim J. Kaasch, Matthias Riediger, Siegbert Rieg, Marta Trigo, Sonsoles Salto-Alejandre, Francisco Anguita-Santos, Ángela Cano, Andrea Prolo-Acosta, Salvador López-Cárdenas, María Teresa Pérez-Rodríguez, Francisco Javier Martínez-Marcos, Esperanza Merino-Lucas, Blanca Anaya-Baz, Ana Arizcorreta, Antonio Plata-Ciézar, Marco Piscaglia, Alexandra Aceituno, Lidia Romero-Calderón, Daniel Hornuss, Aurora Alemán-Rodríguez, Adelina Gimeno-Gascón, Esther Recacha, Julián Torre-Cisneros, Nicolás Merchante, Álvaro Pascual, Luis Eduardo López-Cortés, Jesús Rodríguez-Baño

“…Their 30-day mortality was significantly different (13·1%, 18·2% and 25·3%, respectively, p < 0·001). …”
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Population-level predictive variation in machine learning diagnosis of symptomatic bacterial vaginosis by Diandra P. Ojo, Cameron Celeste, Dion Ming, Ruogu Fang, Ivana K. Parker

“…To determine the ability of ML models to perform equitably, this study evaluates the performance of ML algorithms in predicting symptomatic BV across different ethnic groups using 16S rRNA sequencing data. …”
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Leveraging prior knowledge to infer gene regulatory networks from single-cell RNA-sequencing data by Marco Stock, Corinna Losert, Matteo Zambon, Niclas Popp, Gabriele Lubatti, Eva Hörmanseder, Matthias Heinig, Antonio Scialdone

“…Finally, we propose a standardized benchmarking framework to evaluate algorithms more fairly, ensuring biologically meaningful comparisons. …”
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A large-scale ENIGMA multisite replication study of brain age in depression by Laura K.M. Han, Richard Dinga, Ramona Leenings, Tim Hahn, James H. Cole, Lyubomir I. Aftanas, Alyssa R. Amod, Bianca Besteher, Romain Colle, Emmanuelle Corruble, Baptiste Couvy-Duchesne, Konstantin V. Danilenko, Paola Fuentes-Claramonte, Ali Saffet Gonul, Ian H. Gotlib, Roberto Goya-Maldonado, Nynke A. Groenewold, Paul Hamilton, Naho Ichikawa, Jonathan C. Ipser, Eri Itai, Sheri-Michelle Koopowitz, Meng Li, Go Okada, Yasumasa Okamoto, Olga S. Churikova, Evgeny A. Osipov, Brenda W.J.H. Penninx, Edith Pomarol-Clotet, Elena Rodríguez-Cano, Matthew D. Sacchet, Hotaka Shinzato, Kang Sim, Dan J. Stein, Aslihan Uyar-Demir, Dick J. Veltman, Lianne Schmaal

“…Background: Several studies have evaluated whether depressed persons have older appearing brains than their nondepressed peers. …”
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A case study on entropy-aware block-based linear transforms for lossless image compression by Borut Žalik, David Podgorelec, Ivana Kolingerová, Damjan Strnad, Štefan Kohek

“…Abstract Data compression algorithms tend to reduce information entropy, which is crucial, especially in the case of images, as they are data intensive. …”
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Performance Analysis of a Semiactive Suspension System with Particle Swarm Optimization and Fuzzy Logic Control by Abroon Jamal Qazi, Clarence W. de Silva, Afzal Khan, Muhammad Tahir Khan

“…The performance of resulting optimized system is compared with different systems that use various control algorithms, including a conventional passive system, choice options of feedback signals, and damping coefficient limits. …”
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The classification method of donkey breeds based on SNPs data and machine learning by Dekui Li, Dekui Li, Xiaolong Hu, Yongdong Peng

“…Support Vector Machine (SVM), K-Nearest Neighbors (KNN), and Random Forest (RF) models were constructed and evaluated. The results demonstrated that different chromosomes significantly influence classifier performance. …”
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ROSA: a knowledge-based solution for robot self-adaptation by Gustavo Rezende Silva, Juliane Päßler, S. Lizeth Tapia Tarifa, Einar Broch Johnsen, Carlos Hernández Corbato

“…This creates challenges in designing software architectures and task decision-making algorithms, as different contexts may require distinct task logic and architectural configurations. …”
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MUSeg: A multimodal semantic segmentation dataset for complex underground mine scenes by Shiyan Li, Qingqun Kong, Xuan Gao, Fangzhen Shi, Lianghui Li, Qi Zhang, Penghao Wang, Kehu Yang

“…The dataset has also been evaluated using classical multimodal semantic segmentation algorithms. …”
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Challenges and inequalities in the management of financing the tasks of local government units: a critical analysis by Arkadiusz Ciach

“…Do the currently used algorithms for the distribution of subsidies reflect the real needs of local government units, and, as a result, there is an optimal allocation of public funds? …”
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Clinical analgesic efficacy of dexamethasone as a local anesthetic adjuvant for transversus abdominis plane (TAP) block: A meta-analysis. by Qi Chen, Ran An, Ju Zhou, Bin Yang

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The Impact of Anatomic Racial Variations on Artificial Intelligence Analysis of Filipino Retinal Fundus Photographs Using an Image-Based Deep Learning Model by Carlo A. Kasala, MD, Kaye Lani Rea B. Locaylocay, MD-MBA, Paolo S. Silva, MD

“…Conclusions: The availability and sources of AI training datasets can introduce biases into AI algorithms. In our dataset, racial differences in retinal morphology, such as differences in retinal pigmentation, affected the accuracy of AI image-based analysis. …”
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Upper limb kinematic measurement using markerless motion capturing (MMC) in stroke survivors: A cross-sectional experimental study by Winnie WT Lam, Kenneth NK Fong, Chi-Wen Chien

“…Conclusion The MMC system and machine learning algorithms provide accurate data for evaluating upper limb recovery in stroke survivors. …”
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Wooden Structures in Sustainable Design: AI-Based Energy Efficiency and Environmental Impact by Çağlar Altay, Mustafa Küçüktüvek

“…For example, EnergyPlus software and artificial intelligence techniques such as genetic algorithms were used for energy modeling to optimize the performance of buildings in different climatic conditions. …”
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New Sensors and Techniques for the Structural Health Monitoring of Propulsion Systems by Mark Woike, Ali Abdul-Aziz, Nikunj Oza, Bryan Matthews

“…This includes evaluating the performance of a novel microwave blade tip clearance sensor; a vibration based crack detection technique using an externally mounted capacitive blade tip clearance sensor; and lastly the results of using data driven anomaly detection algorithms for detecting cracks in a rotating disk.…”
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Machine Learning Application for Improving Customer and Postal Logistics Operator Satisfaction in Urban Areas – A Review by Adisa MEDIĆ, Amel KOSOVAC, Ermin MUHAREMOVIĆ, Muhamed BEGOVIĆ

“…The authors used various research publication databases in this context (Web of Science, Scopus, Google Scholar etc). The analysis of different models provides insights into diverse aspects, such as predicting product prices and types of cargo, evaluating user satisfaction, forecasting user departures, assessing optimal geographical locations for implementing postal centres, predicting purchase times before online orders, estimating delivery times in the last phase of the logistics chain and more. …”
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Gait-Based Parkinson’s Disease Detection Using Recurrent Neural Networks for Wearable Systems by Carlos Rangel-Cascajosa, Francisco Luna-Perejón, Saturnino Vicente-Diaz, Manuel Domínguez-Morales

“…The ability of Deep Learning algorithms to identify complex features from clinical data has proven to be a promising approach in various medical domains as support tools. …”
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Reinforcement learning for process Mining: Business process optimization with avoiding bottlenecks by Ghada Soliman, Kareem Mostafa, Omar Younis

“…The activity of manually identifying the optimal sequence of transitions for process mining is challenging due to several difficulties, including the high complexity of business processes that may involve numerous activities and decision points, and the significant effort required to collect and analyze the necessary data, ex1plore different transition possibilities, and evaluate their impact on process performance. …”
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Analytical Review of Numerical Analysis in Hydrodynamic Performance of the Ship: Effect to Hull-Form Modifications by Aldias Bahatmaka, Deni Fajar Fitriyana, Samsudin Anis, Achmad Yanuar Maulana, Mamad Tamamadin, Sang Won Lee, Joung Hyoung Cho

“…The hydrodynamic module includes both simple design approaches and high-fidelity numeric tools; these integrated tools are used to evaluate hydrodynamic performances at different design stages. …”
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