Feasibility of knee magnetic resonance imaging protocol using artificial intelligence-assisted iterative algorithm protocols: comparison with standard MRI protocols by Hailong Liu, Yanxia Chen, Meng Zhang, Han Bu, Fenghuan Lin, Jun Chen, Mengqiang Xiao, Jie Chen

“…ObjectiveTo evaluate the image quality and diagnostic performance of AI-assisted iterative algorithm protocols (AIIA) in accelerated fast spin-echo magnetic resonance imaging (MRI) versus standard (SD) fast spin-echo MRI for clinical 3.0 T rapid knee scans.Materials and methodsThe accelerated sequence, which includes fat-suppression proton density-weighted imaging (FS-PDWI), T2-weighted imaging (T2WI), and T1-weighted imaging (T1WI), was used in conjunction with the SD sequence in 61 patients who underwent MRI scans. …”
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MaOSSA: A new high-efficiency many-objective salp swarm algorithm with information feedback mechanism for industrial engineering problems by Mohammad Aljaidi, Janjhyam Venkata Naga Ramesh, Ajmeera Kiran, Pradeep Jangir, Arpita, Sundaram B. Pandya, Wulfran Fendzi Mbasso, Laith Abualigah, Ali Fayez Alkoradees, Mohammad Khishe

“…The pursuit of convergence in multi-objective optimization usually results in population clustering that produces suboptimal outcomes for both convergence and diversity performance. This paper introduces MaOSSA as a new Many-Objective Salp Swarm Algorithm which combines reference point strategies with niche preservation and Information Feedback Mechanism (IFM). …”
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A Weighted Voting Approach for Traditional Chinese Medicine Formula Classification Using Large Language Models: Algorithm Development and Validation Study by Zhe Wang, Keqian Li, Suyuan Peng, Lihong Liu, Xiaolin Yang, Keyu Yao, Heinrich Herre, Yan Zhu

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A New Automatic Hydrological Station Relocation Algorithm (ASRA) for Moving Hydrological Stations Onto a Simulated Digital River Network by Kun Wang, Denghua Yan, Zuhao Zhou, Baisha Weng, Tianling Qin, Wuxia Bi, Siyu Liu

“…To solve this problem, we categorized and scrutinized deviations between the simulated and their actual station locations, and proposed a novel automatic hydrological station relocation algorithm (ASRA). The algorithm was first validated in the Amazon Basin using Global Runoff Data Centre (GRDC) hydrological stations and 90 m × 90 m Shuttle Radar Topography Mission (SRTM) data, successfully correcting the spatial position and corresponding catchment area (CCA) of each station. …”
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High-resolution surface wave dispersion spectrum computation based on iterative threshold shrinkage algorithm and its application to irregularly sampled data by Luo Li, Luo Li, Xuri Huang, Xuri Huang, Weiping Cao, Hai Yao, Hai Yao, Yungui Xu, Yungui Xu, Huatao Zhao, Huatao Zhao, Bin Wu

“…The computation of dispersion spectrums is a critical step in multi-channel analysis of both active and passive surface waves for imaging subsurface shear-wave velocity distribution. …”
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A SHAP algorithm-based prediction of the interlaminar shear strength degradation of G/BFRP bars embedded in concrete exposed to marine environment by Xuan Zhao, Pei-Fu Zhang, Qi Zhao, Daxu Zhang, Yiliyaer Tuerxunmaimaiti, Heng Cao

“…To address this issue, a dataset collected from published literature was compiled and SHAP algorithm-based method was employed to predict the ILSS retention (ILSSR). …”
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ICESat-2 Satellite LiDAR Bathymetry Extraction Algorithm Based on Cubic Function Fitting Prediction Interval Along Track Segments by Junyuan Chen, Yi Ma, Yang Jiang, Kun Jia, Aijun Cui, Xuechun Zhang, Shaohui Li, Jingyu Zhang

“…Compared with adaptive elevation difference thresholding algorithm, density-based spatial clustering of applications with noise, and ordering points to identify the clustering structure, the proposed algorithm exhibits the best denoising effect, and the extracted seafloor photons show good continuity without obvious noise photons.…”
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Integration of epigenomic and genomic data to predict residual feed intake and the feed conversion ratio in dairy sheep via machine learning algorithms by Pablo Augusto de Souza Fonseca, Aroa Suarez-Vega, Cristina Esteban-Blanco, Héctor Marina, Rocío Pelayo, Beatriz Gutiérrez-Gil, Juan-José Arranz

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Exploring the effect of training set size and number of categories on ice crystal classification through a contrastive semi-supervised learning algorithm by Y. Chu, Y. Chu, H. Zhang, X. Li, J. Henneberger

“…Our analysis also reveals that both CSSL and purely supervised algorithms exhibit inherent instability when trained on small dataset sizes, and the performance difference between them converges as the training set size exceeds 2048 samples. …”
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Study of a Deep Learning Reconstruction Algorithm for Displaying Small- and Medium-sized Blood Vessels in Upper Abdominal Energy Spectrum CT by Qin WANG, Weijie YAN, Yuan YUAN, Hehan TANG, Liping DENG

“…Objective: To investigate the effectiveness and clinical value of using a deep learning reconstruction algorithm (DLIR) to display small blood vessels in upper abdominal computed tomography (CT) with an enhanced energy spectrum. …”
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Parallelizing process model integration for model predictive control through oracle design and analysis for a Grover’s algorithm-inspired optimization strategy by Kip Nieman, Helen Durand, Saahil Patel, Daniel Koch, Paul M. Alsing

“…In this work, we perform these steps using an amplitude amplification strategy based on Grover’s algorithm on a quantum computer. The second is to analyze the algorithm with respect to its ability to translate across problems in the MPC domain, with respect to both its ability to handle nonlinear systems and to handle a variety of different structures of the set of all possible objective function values given the allowable values of the decision variables. …”
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The utility of an artificial intelligence model based on decision tree and evolution algorithm to evaluate steatotic liver disease in a primary care setting by A.C. Goulart, A.P. Alencar, G. Tunes, L.L.T. Bianchi, M.H. Miname, C.M. Padilha, J.M.S. Pescuma, A.L.C.C. Rodrigues, B.B. Henares, M.S. de Almeida, T.A.O. Machado, D.H. Syllos, Y.P. Wang, M. Rienzo

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Optimizing Initial Vancomycin Dosing in Hospitalized Patients Using Machine Learning Approach for Enhanced Therapeutic Outcomes: Algorithm Development and Validation Study by Heonyi Lee, Yi-Jun Kim, Jin-Hong Kim, Soo-Kyung Kim, Tae-Dong Jeong

“…The optimal algorithm, referred to as the OPTIVAN algorithm, was selected and validated using an external cohort (n=268). …”
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Value of Low Tube Voltage Combined with Deep Learning Image Reconstruction Algorithm to Reduce Radiation Dose in Combined Thoracoabdominal Enhanced CT by Weiwei QI, Jin CHENG, Chuhan CHEN, Bei AN, Xiaoyi LIU, Ling FU, Yi WANG

“…To determine the feasibility of combining low tube voltage with deep learning algorithms for low-contrast resolution, Catphan 500 phantoms were scanned under two different conditions. …”
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A Prediction Model of Stable Warfarin Doses in Patients After Mechanical Heart Valve Replacement Based on a Machine Learning Algorithm by Bowen Guo, Cong Chen, Junhang Jia, Jubing Zheng, Yue Song, Taoshuai Liu, Kui Zhang, Yang Li, Ran Dong

“…The variables were selected using analysis of covariance (ANCOVA). Algorithms for predicting the stable warfarin dose were constructed using a traditional linear model, general linear model (GLM), and 10 ML algorithms. …”
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Determination of future gully erosion risk and its spatially quantitative interpretability of driving factors in regional scale using machine learning algorithms by Xin Liu, Dichen Wang, Mingming Guo, Xingyi Zhang, Zhuoxin Chen, Zhaokai Wan, Jielin Liu

“…The GERM was realized by four machine learning algorithms including Random Forest (RF), XGBoost, K-Nearest Neighbor (KNN), and Multi-layer perceptron of artificial neural networks (ANN-MLP). …”
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Comparative analysis of microwave indices for freeze/thaw state monitoring and adaptive thresholding implications by Zhicheng Yang, Tianjie Zhao, Qingfeng Wang, Lihua Peng, Youhua Ran, Yu Bai, Jingyao Zheng, Panpan Yao, Zhiqing Peng, Jinbiao Zhu, Xiaokang Kou, Yuei-An Liou, Jiancheng Shi

“…The evaluation was conducted across six soil moisture and temperature networks spanning the Tibetan Plateau (Maqu, Naqu, Pali, Shiquan River, SMN-WDL) and Inner Mongolian Plateau (SMN-SDR), utilizing both the Threshold - based Algorithm (TA) and Discriminant Function Algorithm (DFA). …”
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Benefits and harms associated with the use of AI-related algorithmic decision-making systems by healthcare professionals: a systematic reviewResearch in context by Christoph Wilhelm, Anke Steckelberg, Felix G. Rebitschek

“…To address this gap, this systematic review assesses the benefits and harms associated with AI-related algorithmic decision-making (ADM) systems used by healthcare professionals, compared to standard care. …”
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Complete Blood Count and Monocyte Distribution Width–Based Machine Learning Algorithms for Sepsis Detection: Multicentric Development and External Validation Study by Andrea Campagner, Luisa Agnello, Anna Carobene, Andrea Padoan, Fabio Del Ben, Massimo Locatelli, Mario Plebani, Agostino Ognibene, Maria Lorubbio, Elena De Vecchi, Andrea Cortegiani, Elisa Piva, Donatella Poz, Francesco Curcio, Federico Cabitza, Marcello Ciaccio

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Diagnostic accuracy of case-identification algorithms for heart failure in the general population using routinely collected health data: a systematic review by Anita Andreano, Vito Lepore, Pietro Magnoni, Alberto Milanese, Caterina Fanizza, Deborah Testa, Alessandro Musa, Adele Zanfino, Paola Rebora, Lucia Bisceglia, Antonio Giampiero Russo, the PROPHET-I study group

“…Results We included 24 studies (161,524 patients) and extracted 36 algorithms. Algorithm selection was based on type of administrative data and DOR. …”
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