18F-FDG dose reduction using deep learning-based PET reconstruction by Ryuji Akita, Komei Takauchi, Mana Ishibashi, Shota Kondo, Shogo Ono, Kazushi Yokomachi, Yusuke Ochi, Masao Kiguchi, Hidenori Mitani, Yuko Nakamura, Kazuo Awai

“…Further optimization of DLR algorithms is required to maintain comparable diagnostic accuracy in patients weighing 75 kg or more.…”
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Bile acids in follicular fluid: potential new therapeutic targets and predictive markers for women with diminished ovarian reserve by Shu Ding, Wenyan Li, Xianglei Xiong, Manfei Si, Chuyu Yun, Yuqian Wang, Lixuan Huang, Sen Yan, Xiumei Zhen, Jie Qiao, Xinyu Qi

“…Then, we constructed a diagnostic model for DOR using the random forest algorithm based on five different BAs. …”
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Radiomic study on preoperative multi‐modal magnetic resonance images identifies IDH‐mutant TERT promoter‐mutant gliomas by Haoyu Wang, Shuxin Zhang, Xiang Xing, Qiang Yue, Wentao Feng, Siliang Chen, Jun Zhang, Dan Xie, Ni Chen, Yanhui Liu

“…The discovery cohort was split into training and test sets by a 4:1 ratio. A diagnostic model (multilayer perceptron classifier) for detecting the IDHmut pTERTmut gliomas was trained using an automatic machine‐learning algorithm named tree‐based pipeline optimization tool (TPOT). …”
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Ensemble network using oblique coronal MRI for Alzheimer’s disease diagnosis by Cunhao Li, Zhongjian Gao, Xiaomei Chen, Xuqiang Zheng, Xiaoman Zhang, Chih-Yang Lin

“…This approach fused classification results from different modality images or different positions of the same modality images, constructing a more reliable ensemble classification model. …”
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Mutational landscape and DNA methylation-based classification of squamous cell carcinoma and urothelial carcinoma by Min Ren, Midie Xu, Chen Chen, Ran Wei, Qianlan Yao, Liqing Jia, Peng Qi, Qifeng Wang, Qianming Bai, Xiaoli Zhu, Sheng Wu, Qinghua Xu, Xiaoyan Zhou

“…However, squamous cell carcinomas from different sites lack representative histological and immunohistochemical features. …”
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A method to evaluate the functional state of the human brain after acute in-hospital stroke by K. S. Brazovskii, D. A. Vinokurova, V. A. Strezh, V. Yu. Ussov

“…A new integral coefficient of the functional state was introduced, and an algorithm to calculate the proposed measure of the functional activity of the central nervous system was developed and implemented.Results. …”
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Hyperspectral proximal sensing for carbonate rocks characterization in the SWIR (Short-Wave Infrared) by Indira Rodríguez Álvarez, Eduardo García-Meléndez, Montserrat Ferrer-Juliá, Wim Bakker, Juncal Altagracia Cruz, Antonio Espín de Gea

“…After visual analysis and interpretation, 8 points or pixels were selected as reference spectra for image classification through the Spectral Angle Mapper (SAM) algorithm. The results show the spatial distribution of calcite and dolomite based on their characteristic and diagnostic absorption features (at 2335 and 2315 nm respectively), and areas with different proportions of calcite and dolomite mixture, and the presence of carbonates and clay mineral mixtures. …”
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Prediction of Urban Rail Transit Train Door Faults Based on FOA-BP Neural Network Model by WEN Kaiyue, QIU Weibin, DING Xianze, OU Hongxiang

“…[Method] Taking the abnormal current signal of URT train door before failure as the research object, a FIR (finite impulse response) filter is designed to filter and dimensionally normalize the collected URT train door current signal data; the FOA (fruit fly optimization algorithm)-BP (back propagation) neural network model is used to train the closed state learning sample data of different doors after dimensional normalization, and output test results; FOA-BP results and output results after BP neural network models training are compared and analyzed. …”
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Depressive symptoms among patients with schizophrenia in acute and remission phases by Peljto Amir, Pešić Danilo, Christodoulou Nikos G., Lečić-Toševski Dušica

“…Targeted, patient oriented, and algorithm-based approach for treatment management, with taking into account different phenotypic expressions of the disorder (patients with and without affective symptoms) is warranted in patients with schizophrenia.…”
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THE STUDY OF THE BRAIN IN A PATIENT WITH TYPE 1 DIABETES MELLITUS USING TECHNIQUES OF MAGNETIC RESONANCE IMAGING by Yu. G. Samoylova, N. G. Zhukova, M. V. Matveyeva, M. A. Rotkank, O. S. Tonkikh

“…The study of the brain, namely structural and metabolic manifestations of diabetes, is one of the priority problem of modern medical science.The aim of the study was to evaluate dynamics in the different techniques of magnetic resonance imaging in the diagnosis of brain changes in patients with T1DM.Research methods included physical examination, in accordance with the diagnostic algorithm of patients with T1DM, a neurologist consultation, an assessment of cognitive function, analysis of brain changes using standard magnetic resonance imaging and spectroscopy. …”
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Impact of rhinosinusal polyposis on CT score in patients with chronic rhinosinustis by Dudvarski Zoran, Janošević Ljiljana, Penđer Ivica, Đukić Vojko, Ješić Snežana, Dimitrijević Milovan, Arsović Nenad

“…The study included 90 patients, 47 males and 43 females, 45-year old on average, diagnosed with chronic rhinosinusitis on the basis of diagnostic algorithm. The group with uncomplicated chronic rhinosinusitis (without nasal polyps) consisted of 30 patients and the group with complicated chronic rhinosinusitis (with nasal polyps) of 60 patients. …”
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Auxiliary Diagnosis of Breast Cancer Based on Machine Learning and Hybrid Strategy by Hua Chen, Kehui Mei, Yuan Zhou, Nan Wang, Guangxing Cai

“…Then, the features of the dataset are initially screened using the mutual information method, and further secondary feature selection is performed using the recursive feature elimination method based on the XGBoost algorithm. Thus, the feature dimensionality of the dataset is reduced and the generalization ability of the model is improved. …”
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Diagnosis of Open and Short Circuit Intermittent Connection Faults for DeviceNet Based on Multilayer Information Fusion and Circuit Network Analysis by Longkai Wang, Yong Lei

“…However, there is no diagnostic method for mixed IC faults where IOC and ISC coexist. …”
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Elevator Running Fault Monitoring Method Based on Vibration Signal by Mingxing Jia, Xiongfei Gao, Hongru Li, Hali Pang

“…It can solve the problems of traditional elevator fault monitoring methods that require complex feature extraction processes and a large amount of diagnostic experience. Because the elevator fault monitoring field has less fault information, it is different from the large sample situation in the field of face recognition. …”
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Rapid test for the qualitative simultaneous determination of cardiac fatty acid-binding protein and cardiac troponin I in the diagnosis of acute coronary syndrome by V. A. Kokorin, I. G. Gordeev, M. N. Arefyev, A. Ya. Goncharova, A. A. Yakovtsova

“…The sensitivity of the CARD-INFO 1+1 rapid test was 88,1%, specificity — 89,8%, diagnostic accuracy — 88,7%. The indicators of the diagnostic effectiveness of CARD-INFO 1+1 test in patients with STE-ACS and NSTE-ACS did not significantly differ (p>0,05). …”
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Criteria for diagnosis of humoral rejection using the method of 2D-speckle-tracking echocardiography by L. K. Tkhatl, T. V. Stavenchuk, E. D. Kosmachova, I. A. Pashkova

“…The interrelation between histological and immunological changes and impaired myocardial deformation. The proposed diagnostic algorithm will predict humoral rejection.…”
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Recent advances in autoimmune encephalitis by João Henrique Fregadolli Ferreira, Caio César Diniz Disserol, Bruna de Freitas Dias, Alexandre Coelho Marques, Marina Driemeier Cardoso, Pedro Victor de Castro Silva, Fabio Fieni Toso, Lívia Almeida Dutra

“…The diagnostic criteria for AE were adapted to the pediatric population, and a diagnostic algorithm was proposed, considering potential mimics and misdiagnosis. …”
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Computed tomography-derived quantitative imaging biomarkers enable the prediction of disease manifestations and survival in patients with systemic sclerosis by Gabriela Riemekasten, Felix Nensa, Hanna Grasshoff, René Hosch, Malte Maria Sieren, Lennart Berkel, Jörg Barkhausen, Roman Kloeckner, Franz Wegner

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Utilizing Multi-omics analysis to elucidate the role of mitochondrial gene defects in Gastric cancer progression. by Jie Chu, Hanying Song, Kemin Fu, Wei Xiao, Jiudong Jiang, Qixin Gan, Bo Deng

“…Additionally, both the ssGSEA algorithm and the CIBERSORT algorithm were utilized to evaluate changes and effects in immunological characteristics during gastric cancer pathogenesis.…”
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A Near-Infrared Imaging System for Robotic Venous Blood Collection by Zhikang Yang, Mao Shi, Yassine Gharbi, Qian Qi, Huan Shen, Gaojian Tao, Wu Xu, Wenqi Lyu, Aihong Ji

“…Furthermore, we optimize the AD-Census stereo matching algorithm by developing a variable-weight version, which improves its adaptability to image variations across different regions. …”
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