Precision in practice: exploring the impact of ai and machine learning on ultrasound guided regional anaesthesia by Noor Ul Huda Bhatti, Syed Ghazi Ali Kirmani, Maryam Butt

“…It is used to conduct predictive tasks without programming instructions by creating algorithms. Extensive research has been conducted to evaluate the influence of machine learning on innovative anaesthesia methods. …”
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Sagittal Plane Kinematic Deviations and Spatio-Temporal Gait Characteristics in Children with Idiopathic Toe Walking: A Comparative Analysis Using Statistical Parametric Mapping by Rocio Pozuelo-Calvo, Almudena Serrano-Garcia, Yolanda Archilla-Bonilla, Angel Ruiz-Zafra, Manuel Noguera-Garcia, Kawtar Benghazi-Akhlaki, Miguel Membrilla-Mesa, Carla DiCaudo, Jose Heredia-Jimenez

“…While spatio-temporal parameters often remain within normal ranges, subtle but clinically significant kinematic deviations may underlie compensatory mechanisms that sustain gait functionality. This study aims to evaluate spatio-temporal and sagittal plane kinematic differences between children with ITW and typically developing peers using Statistical Parametric Mapping (SPM). …”
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Payment Scheduling Problem with Multiple Modes for Activities to Maximize the Net Present Value of a Project by Somayeh Ghasedi, Behrouz Afshar-Nadjafi

“…In order to evaluate the performance of the developed algorithms, a set of 108 test instances are solved, and the computational results confirm the applicability of the solving methodologies.…”
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Identification and analysis of the endoplasmic reticulum stress hub genes in sepsis-associated ARDS by Ling Gao, Tingting Liu, Xiaoyan Li

“…The aim of this study was to identify and analyze hub genes related to ERS in sepsis-associated ARDS using bioinformatics and machine learning algorithms, which may serve as diagnostic markers and therapeutic targets. …”
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Unraveling volatile metabolites in pigmented onion (Allium cepa L.) bulbs through HS-SPME/GC–MS-based metabolomics and machine learning by Kaiqi Cheng, Kaiqi Cheng, Jingzhe Xiao, Jingyuan He, Rongguang Yang, Jinjin Pei, Jinjin Pei, Wengang Jin, Wengang Jin, A. M. Abd El-Aty, A. M. Abd El-Aty

“…SHAP analysis further confirmed 20 metabolites as potential key markers.ConclusionThe findings suggest that the combination of HS-SPME/GC-MS and machine learning, particularly the random forest algorithm, is a powerful approach for characterizing and classifying volatile metabolite profiles in colored onions. …”
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Identification of biomarkers for Laryngeal squamous cell carcinoma through Mendelian randomization and integrated bioinformatics analysis by Pengjian Zhang, Weizhang Chen, Kai Chen, Yuanhang Ye, Weijun Wu

“…The differences in immune landscapes between high-risk and low-risk groups were assessed using the CIBERSORT algorithm, and drug sensitivity was analyzed using the “oncoPredict” package. …”
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The relationship between low perceived numeracy and cancer knowledge, beliefs, and affect. by Katherine Ross, Justin Stoler, Nick Carcioppolo

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The politics of calculation by David Demortain

“…Combining the sociology of science and technology and political sociology, this special issue thus hypothesizes that calculation is one of the ways of building coalitions in governance, and one of the objects of what is being debated in its arenas; and, conversely, that governance is one of the contexts in which contemporary forms of calculation are forged and algorithms invented.…”
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Measuring Outcomes in Healthcare Economics using Artificial Intelligence: with Application to Resource Allocation by Feras A. Batarseh, Chih-Hao Huang

“…Using reinforcement learning, genetic algorithms, traveling salesman, and clustering, we experimented with different healthcare variables and presented tools and outcomes that could be applied at health institutes. …”
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Les jeux politiques du calcul by David Demortain

“…Combining the sociology of science and technology and political sociology, this special issue thus hypothesizes that calculation is one of the ways of building coalitions in governance, and one of the objects of what is being debated in its arenas; and, conversely, that governance is one of the contexts in which contemporary forms of calculation are forged and algorithms invented.…”
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Los juegos políticos del cálculo by David Demortain

“…Combining the sociology of science and technology and political sociology, this special issue thus hypothesizes that calculation is one of the ways of building coalitions in governance, and one of the objects of what is being debated in its arenas; and, conversely, that governance is one of the contexts in which contemporary forms of calculation are forged and algorithms invented.…”
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Improved Discriminability of Severe Lung Injury and Atelectasis in Thoracic Trauma at Low keV Virtual Monoenergetic Images from Photon-Counting Detector CT by Hanns Leonhard Kaatsch, Maximilian Franz Völlmecke, Benjamin V. Becker, Daniel Dillinger, Laura Kubitscheck, Aliona Wöhler, Sebastian Schaaf, Joel Piechotka, Christof Schreyer, Robert Schwab, Daniel Overhoff, Stephan Waldeck

“…<b>Objectives</b>: To evaluate the value of virtual monoenergetic images (VMI) from photon-counting detector CT (PCD-CT) for discriminability of severe lung injury and atelectasis in polytraumatized patients. …”
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Comparative Analysis of the Efficiency, Safety, Predictability of Wavefront-Guided and Conventional FemtoLASIK Procedures in Low to Moderate Myopia by A. V. Doga, I. A. Mushkova, A. N. Karimova, E. V. Kechin, A. G. Guliev, V. G. Lee

“…Purpose: to evaluate the effectiveness, safety, and predictability of the wavefront-guided FemtoLASIK using the Platoscan computer program and data from the KR-1W aberrometer, in comparison with the conventional algorithm FemtoLASIK in patients with low to moderate myopia.Patients and methods. …”
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Acute kidney injury and in-hospital outcomes after transcatheter aortic valve replacement in patients without chronic kidney disease: insights from the national inpatient sample by Congyan Ye, Xueping Ma, Bo Shi, Rui Yan, Shizhe Fu, Kairu Wang, Ru Yan, Shaobin Jia, Shengping Yang, Guangzhi Cong

“…Sensitivity analysis was conducted to evaluate the robustness of our inferences. Results Of 47,372 unweighted patient admissions for TAVR, 1617 (3.41%) had a concomitant diagnosis of AKI. …”
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Vitamin D supplementation may be beneficial in improving the prognosis of patients with sepsis-associated acute kidney injury in the intensive care unit: a retrospective study by Jie Sun, Yan Wang, Jue Wang, Hongwei Wu, Zhefeng Xu, Dongsheng Niu

“…Kaplan–Meier survival analysis indicated a significant difference in survival probabilities between the two cohorts. …”
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Application of machine learning in predicting adolescent Internet behavioral addiction by Yao Gan, Li Kuang, Xiao-Ming Xu, Ming Ai, Jing-Lan He, Wo Wang, Su Hong, Jian mei Chen, Jun Cao, Qi Zhang

“…The model’s indicators under each algorithm were compared, evaluated with a confusion matrix, and the optimal model was selected.ResultThe proportion of male adolescents, urban household registration, and scores on the family function, planning, action, and cognitive subscales, along with psychoticism, introversion-extroversion, neuroticism, somatization, obsessive-compulsiveness, interpersonal sensitivity, depression, anxiety, hostility, paranoia, and psychosis, were significantly higher in the Internet addiction group than in the non-Internet addiction group (P &lt; 0.05). …”
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Structural-methodical model of computer program for control of theoretical knowledge of cadets by V. V. Bulgakov

“…Basically, readymade computer programs are used, which are universal and are intended for wide application, without taking into account the specifics of Universities.Research and development of structural and methodological model was carried out with the use of theoretical analysis of the provisions of pedagogy on the problems of control, evaluation and analysis of the level of theoretical knowledge, methods of theory of algorithms and decision-making, methods of synthesis and analysis of information processes. …”
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Alpine Meadow Fractional Vegetation Cover Estimation Using UAV-Aided Sentinel-2 Imagery by Kai Du, Yi Shao, Naixin Yao, Hongyan Yu, Shaozhong Ma, Xufeng Mao, Litao Wang, Jianjun Wang

“…The performance of these estimates was evaluated against reference FVC values derived from centimeter-level UAV data. …”
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Sensor-Based Yield Prediction in Durum Wheat Under Semi-Arid Conditions Using Machine Learning Across Zadoks Growth Stages by Süreyya Betül Rufaioğlu, Ali Volkan Bilgili, Erdinç Savaşlı, İrfan Özberk, Salih Aydemir, Amjad Mohamed Ismael, Yunus Kaya, João P. Matos-Carvalho

“…Five different machine learning algorithms (Random Forest, Gradient Boosting, AdaBoost, LightGBM, and XGBoost) were tested individually for each stage, and the model performances were evaluated using statistical metrics such as R²%, RMSE t/ha, and MAE t/ha. …”
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Land Cover Transformations in Mining-Influenced Areas Using PlanetScope Imagery, Spectral Indices, and Machine Learning: A Case Study in the Hinterlands de Pernambuco, Brazil by Admilson da Penha Pacheco, João Alexandre Silva do Nascimento, Antonio Miguel Ruiz-Armenteros, Ubiratan Joaquim da Silva Junior, Juarez Antonio da Silva Junior, Leidjane Maria Maciel de Oliveira, Sylvana Melo dos Santos, Fernando Dacal Reis Filho, Carlos Alberto Pessoa Mello Galdino

“…The methodology consisted of monitoring and evaluating environmental impacts using the k-Nearest Neighbors (kNN) algorithm, spectral indices (Normalized Difference Vegetation Index (NDVI) and Normalized Difference Water Index (NDWI)), and hydrological data, covering the period from 2018 to 2023. …”
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