Bearing Fault Diagnosis Based on Spatial Features of 2.5 Dimensional Sound Field by Junjian Hou, Jun Ma, Zhanpeng Fang, Wuyi Ming, Wenbin He

“…To dig the sound field fault information further, a 2.5-dimensional (2.5D) acoustic field diagnosis method is presented in this paper and its performance compared with the 2D technology is verified by the bearing diagnostic test. Different from the 2D technique with only one source image, the 2.5D acoustic field model consists of source image, holographic sound image, and the differences between them, and its effective feature model is constructed by Gabor wavelet feature extraction and random forest feature reduction algorithm. …”
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Clinical Variations of Uveitis in Immuno-Inflammatory Diseases. Review of the Literature. Part 1 by G. A. Davydova, T. A. Lisitsyna, L. A. Kovaleva, E. S. Sorozhkina, A. A. Zaitseva, A. A. Baisangurova

“…Despite the currently existing diagnostic and therapeutic schemes, further study of the pathogenesis of uveitis associated with immune-inflammatory diseases is required, the research of a personalized approach and an algorithm for joint multidisciplinary diagnosis by specialists in various fields. …”
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Prediction of success in assisted reproductive technology with the help of morphology of the testis by N. G. Kulchenko

“…The results of morphological studies in these men showed a different degree of violation of spermatogenesis. Based on the study, a diagnostic algorithm of patients with male infertility is proposed, which allows to predict the success of ART taking into account morphological changes in the testicle.Conclusion. …”
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Intelligent Fault Severity Detection of Rotating Machines Based on VMD-WVD and Parameter-Optimized DBN by Ning Jia, Yao Cheng, Youyuan Tian, Feiyu Yang

“…An intelligent fault severity detection method based on variational mode decomposition- (VMD-) Wigner-Ville distribution (WVD) and sparrow search algorithm- (SSA-) optimized deep belief network (DBN) is suggested to address the problem that typical fault diagnostic algorithms are inappropriate for extremely comparable vibration signals when the samples are insufficient. …”
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AI approaches for phenotyping Alzheimer's disease and related dementias using electronic health records by Sara Knox, Stephanie Aghamoosa, Paul M. Heider, Maxwell Cutty, Andrew Wright, Dmitry Scherbakov, Gabriel Hood, Sara A. Nolin, Jihad S. Obeid

“…RESULTS A foundational LLM derived from Llama 2 demonstrated superior performance in identifying patients with ADRD (area under the curve [AUC] = 0.9534, F1 score 0.8571) compared to both the current standard CCW algorithm (AUC = 0.8482, F1 score 0.8323, although only the AUC was statistically significantly different) and other AI‐based models. …”
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Brachytherapy in treatment of vaginal cancer by A. D. Kaprin, V. N. Galkin, S. A. Ivanov, V. A. Solodkiy, V. A. Titova

“…Epidemiological data on incidence of vaginal cancer in Russia are represented, presumptive mechanisms for development of the disease, risk factors, histological types, features of the course, clinical presentation, diagnostic algorithm are described. Treatment methods for primary vaginal cancer according to world standards such as surgery, radiotherapy and systemic drug therapy are covered. …”
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Research on grounding detection method for permanent magnet traction system in high-speed EMUs by BAI Long, LIU Ruichao, WANG Yongxiang, QIU Tengfei, ZHOU Yijie

“…By combining the topology structure of the grounding detection circuit, the characteristics of grounding voltage under different grounding conditions were analyzed. Based on this analysis, measures such as optimizing the decision algorithm for grounding voltage exceeding limits, adopting step-by-step detection of each axis inverter, and adding diagnostic nodes for permanent magnet contactors were proposed. …”
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Enhancing anemia detection through multimodal data fusion: a non-invasive approach using EHRs and conjunctiva images by Muhammad Ramzan, Muhammad Usman Saeed, Ghulam Ali

“…After that, GRAD-Cam algorithm is applied to calculate the pixel percentages of all the features. …”
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A Novel Improved Local Binary Pattern and Its Application to the Fault Diagnosis of Diesel Engine by Yanping Cai, Guanghua Xu, Aihua Li, Xu Wang

“…Compared with some typical LBP algorithms, computational complexity of the proposed ILBP algorithm is greatly reduced, and the coding sparsity is greatly improved. …”
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New Approaches to AI Methods for Screening Cardiomegaly on Chest Radiographs by Patrycja S. Matusik, Zbisław Tabor, Iwona Kucybała, Jarosław D. Jarczewski, Tadeusz J. Popiela

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Validation of chronic obstructive pulmonary disease recording in the Clinical Practice Research Datalink (CPRD-GOLD) by John R Hurst, Jennifer K Quint, Hana Müllerova, Liam Smeeth, Harriet Forbes, Susan Eaton, Rachael L DiSantostefano, Kourtney Davis

“…Algorithms without specific diagnostic codes had low PPVs (range 12.2–44.4%).Conclusions Patients with COPD can be accurately identified from UK primary care records using specific diagnostic codes. …”
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Application of microscopic smartphone attachment for remote preoperative lab testing by Kefan Song, Kefan Song, Alexander T. Adams, Alexander T. Adams

“…A custom application was developed to maintain the system’s capabilities of capturing optimal cell images across different mobile platforms. The system’s cell counting algorithm was tailored to process the captured images, featuring a streamlined workflow that includes image processing and automated cell detection using a Hough circle algorithm.ResultsThe new system provided good-quality raw images with 26.3 px/μm pixel resolution and 2.19 μm spatial resolution, facilitating effective cell recognition and counting. …”
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Diagnosis and treatment of ovarian cancer in the light of modern molecular genetic achievements by E. M. Kagirova, R. I. Khusainova, I. R. Minniakhmetov

“…Ovarian cancer is the leading cause of death in women diagnosed with gynecological cancer. ovarian cancer is a heterogeneous disease composed of different types of tumors, each of which has differences in pathogenesis, spectrum and mutation frequencies in characteristic genes, response to therapy and prognosis of the disease. more than 80 % of all malignant ovarian tumors are of epithelial origin (carcinomas) and about 26 % of all cases of ovarian cancer are caused by germline mutations found in the BRCA1/BRCA2 genes. to date, the priority areas in the study of ovarian cancer are the improvement of diagnostic methods, algorithm of examination of women, identification of new biomarkers, study of tumor microenvironment and composition of ascitic fluid to detect cancer at early stages and prescribe appropriate therapy. …”
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Prediction of dengue disease severity among pediatric Thai patients using early clinical laboratory indicators. by James A Potts, Robert V Gibbons, Alan L Rothman, Anon Srikiatkhachorn, Stephen J Thomas, Pra-On Supradish, Stephenie C Lemon, Daniel H Libraty, Sharone Green, Siripen Kalayanarooj

“…Classification and regression tree analysis was used to develop diagnostic algorithms using different categories of dengue disease severity to distinguish between patients at elevated risk of developing a severe dengue illness and those at low risk. …”
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INFECTION ASSOCIATED WITH THE IMPLANTATION OF CARDIOVASCULAR IMPLANTABLE ELECTRONIC DEVICES by L. I. Dvoretsky, R. M. Vakoluk, A. K. Kaptaeva, S. A. Doroshuk

“…In each hospital, the patient management tactics were different and did not meet the accepted standards of diagnostic search in a febrile patient with CED. …”
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Bone Reporting and Data System on MRI (Bone-RADS-MRI): a validation study by four readers on 275 cases from three local and two public databases by Yue Xing, Yangfan Hu, Xianwei Liu, Defang Ding, Shun Dai, Liangjing Lyu, Guangcheng Zhang, Shiqi Mao, Qian Yin, Junjie Lu, Jiarui Yang, Yang Song, Huan Zhang, Chengzhou Li, Weiwu Yao, Jingyu Zhong

“…Conclusion Bone-RADS-MRI is effective for identifying bone lesions that need further treatment, but it has only moderate reliability for readers with different specialties and experience. Critical relevance statement With local and public databases, Bone-RADS-MRI has been demonstrated to be a reliable algorithm for musculoskeletal and non-musculoskeletal radiologists with varying experience and an effective tool for identifying incidental solitary bone lesions that “need treatment” in adults. …”
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Building radiomics models based on ACR TI-RADS combining clinical features for discriminating benign and malignant thyroid nodules by Xingxing Chen, Xingxing Chen, Lili Zhang, Bin Chen, Jiajia Lu

“…A total of 107 radiomics features were extracted from the US images, and the radiomics score (Rad-score) was constructed using the Least Absolute Shrinkage and Selection Operator (LASSO) algorithm. Different models were created using logistic regression, including the clinic-ACR score (Clin+ACR), clinic-Rad score (Clin+Rad), ACR score-Rad score (ACR+Rad), and combined clinic-ACR score-Rad score (Clin+ACR+Rad). …”
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Advanced leukocyte classification using attention mechanisms and dual channel U-Net architecture by Gauri Kalnoor, Vijayalaxmi Kadrolli

“…Abstract Leukocytes or white blood cells plays an important role in protecting the body from various contagious diseases and infectious agents. Different conventional leukocyte analysis approaches often face several problems like inaccuracies, demanding the need for sophisticated approaches to improve diagnostic precision. …”
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Unique Method for Prognosis of Risk of Depressive Episodes Using Novel Measures to Model Uncertainty Under Data Privacy by Barbara Pękala, Dawid Kosior, Wojciech Rząsa, Katarzyna Garwol, Janusz Czuma

“…Importantly, computer support in medical diagnostics often requires algorithms that are appropriate for processing data expressing uncertainty and that can ensure high-quality diagnostics. …”
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A predictive model of cognitive impairment in Parkinson's disease based on multivariate logistic regression by BA Mengru, YIN Xiaohong, LI Shaoyuan

“…Finally, the results of model performance evaluation show that the novel cognitive impairment prediction model proposed in this paper has good accuracy, consistency and clinical practicability, which can significantly improve the diagnostic efficiency of clinicians; in addition, the model also realizes the visual comparison and analysis of the number and distribution of patients with different values of the same predictor, which can assist clinicians in formulating personalized healthcare management and consulting programs according to the individual risk of each patient, and help to start the intervention and treatment of the patients at an early stage, and it has a certain clinical diagnostic value.…”
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