Cellular senescence defining the disease characteristics of Crohn’s disease by Wenyu Zhang, Xianzong Ma, Xianzong Ma, Wenqing Tian, Yongsheng Teng, Meihua Ji

“…The support vector machine (SVM) algorithm, random forest algorithm and LASSO regression analysis was used to construct a diagnostic model. …”
Get full text

Application of Dynamic Time Warping (DTW) in Comparing MRT Signals of Steel Ropes by Justyna Tomaszewska, Mirosław Witoś, Jerzy Kwaśniewski

“…This study explores the application of the Dynamic Time Warping (DTW) algorithm to enhance the reliability of MRT diagnostics. …”
Get full text

Forecasting Financial Crashes: Revisit to Log-Periodic Power Law by Bingcun Dai, Fan Zhang, Domenico Tarzia, Kwangwon Ahn

“…The key enhancements of price gyration algorithm are (i) different window sizes for peak detection and (ii) a distance-based weighting approach for peak selection. …”
Get full text

DC-Link Capacitors Online Condition Monitoring Using Repetitive RLS in Hybrid-Electric Aircraft by Stanislaw Oliszewski, Marcin Pawlak, Mateusz Dybkowski

“…Strict aviation requirements were applied regarding the amount of data and the speed of the algorithm. Range of different capacitance values and datasets were taken into consideration. …”
Get full text

Fever of unknown origin in rheumatology by A. V. Gordeev, N. M. Savushkina, E. A. Galushko

“…The authors present a differential diagnostic algorithm for managing patients with FUO and analyze the diagnostic value of the most significant laboratory and instrumental studies. …”
Get full text

Epidemiology, Diagnosis, and Management of Cystic Lesions of the Pancreas by Koen de Jong, Marco J. Bruno, Paul Fockens

“…In addition, fluid aspiration for cytopathology, tumormarkers or molecular analysis is widely used. Different guidelines are available but so far no optimal diagnostic algorithm exists. …”
Get full text

A Non-Contact AI-Based Approach to Multi-Failure Detection in Avionic Systems by Chengxin Liu, Michele Ferlauto, Haiwen Yuan

“…To address these challenges, this paper aims to develop a fast, accurate, and non-destructive, multi-failure diagnosis algorithm for PCBs. The proposed method combines a self-attention mechanism with an adaptive graph convolutional neural network to enhance diagnostic precision. …”
Get full text

Preoperative diagnosis of meningioma sinus invasion based on MRI radiomics and deep learning: a multicenter study by Yuan Gui, Wei Hu, Jialiang Ren, Fuqiang Tang, Limei Wang, Fang Zhang, Jing Zhang

“…Finally, diagnosis models were constructed using the random forest (RF) algorithm. Additionally, the diagnostic performance of different models was evaluated using receiver operating characteristic (ROC) curves, and AUC values of different models were compared using the DeLong test. …”
Get full text

A novel method for power transformer fault diagnosis considering imbalanced data samples by Jun Chen, Yong Wang, Lingming Kong, Yilong Chen, Mianzhi Chen, Qian Cai, Gehao Sheng

“…IntroductionMachine learning-based power transformer fault diagnosis methods often grapple with the challenge of imbalanced fault case distributions across different categories, potentially degrading diagnostic accuracy. …”
Get full text

Improving the Diagnosis and Treatment of Acute Appendicitis in Pregnant Women by A.O. Osmanov, S.-M. A. Omarov, M. Z. Zagidov, R. M. Aliyeva

“…The authors have elaborated and introduced into practice a diagnostic algorithm for acute appendicitis in pregnant women, a procedure to estimate an electrical cecal cupula potential that allows its location to be specified, improved laparo-scopic techniques, and introduced a procedure long-term autonomous intestinal motility stimulation, which fails to affect uterine tone in pregnant women. …”
Get full text

Development of a deep learning model for automated detection of calcium pyrophosphate deposition in hand radiographs by Thomas Hügle, Elisabeth Rosoux, Guillaume Fahrni, Deborah Markham, Tobias Manigold, Fabio Becce

“…Heatmap analysis revealed activation in the regions of interest for positive cases (true and false positives), but unexpected highlights were encountered possibly due to correlated features in different hand regions.ConclusionA combined deep-learning model detecting CPPD at the TFCC and MCP-2/3 joints in hand radiographs provides the highest diagnostic performance. …”
Get full text

Development of an artificial intelligence-based application for the diagnosis of sarcopenia: a retrospective cohort study using the health examination dataset by Chang-Won Jeong, Dong-Wook Lim, Si-Hyeong Noh, Sung Hyun Lee, Chul Park

“…Additionally, we developed an algorithm for the calculation of T-Score calculated as (measurement value-Young adult mean)/(Young adult SD) using the Aggregation Pipeline by MongoDB, with the mean and standard deviation for skeletal muscle area (SMA), SMA/height2, SMA/weight, and SMA/body mass index (BMI) for both sexes and different age groups. …”
Get full text

VPL geometry processing for open multilevel and multiscalar databases by E. Lanzara, G. Fatigati, S. Guardascione, M. T. Rapicano

“…This study investigates open-source VPL algorithms for storage, geolocalization and comparison of diagnostic multi-sensor data on 3D semi-automatic geometric database extracted from low-cost image-based models and shared on open web-based platform to support information, conservation/restoration and monitoring of multiscalar elements (e.g. artworks, architectural or urban objects).…”
Get full text

Fault Type Identification and Fault Refinement Diagnosis Model of Variable Refrigerant Flow System by Liu Qian, Li Zhengfei, Ding Xinlei, Chen Huanxin, Wang Yuzhou, Xu Chang

“…The training set after the dimension reduction was used to establish a fault refinement diagnostic model. Finally, after the sample data in the test set were identified by the fault type, the test sample could adaptively input different fault refinement diagnostic models according to the recognition results. …”
Get full text

Treatment and prevention of arresive bleeding in patients with pancreonecrosis. by V. V. Boyko, V. N. Lykhman, S. V. Tkach, A. A. Merkulov, I. V. Volchenko

“…Diagnostic-treatment ispresented algorithm with the active use of modern methods of hemostasis in patients with arrosive bleeding developed against the background of pancreatonecrosis.…”
Get full text

Finding a suitable chest x-ray image size for the process of Machine learning to build a model for predicting Pneumonia by Kriengsak Yothapakdee, Yosawaj Pugtao, Sarawoot Charoenkhun, Tanunchai Boonnuk, Kreangsak Tamee

“…The neural network algorithm achieved an accuracy rate of 87.00% across different image sizes. …”
Get full text

A Novel Method to Compute the Contact Surface Area Between an Organ and Cancer Tissue by Alessandra Bulanti, Alessandro Carfì, Paolo Traverso, Carlo Terrone, Fulvio Mastrogiovanni

Get full text

THE IMPORTANCE OF TARGETED NEXT-GENERATION SEQUENCING USAGE IN CYTOGENETICALLY NORMAL MYELOID MALIGNANCIES by Emine Atli, Rasime Kalkan, Cisem Mail, Damla Eker, Ufuk Demirci, Selma Demir, Sinem Yalcintepe, Hakki Onur Kirkizlar, Engin Atli, Hakan Gurkan, Ahmet Muzaffer Demir

“…In this study, we analyzed 100 patients who admitted to Medical Genetics Laboratory within different type of myeloid malignancies. We highlighted the possible diagnostic algorithm for cytogenetically normal cases. …”
Get full text

Possibilities of using a FRAX® risk calculator for 10-year probability of fractures assessment in patients with rheumatoid arthritis by O. A. Nikitinskaya, N. V. Toroptsova, E. L. Nasonov

“…Early detection of individuals at high risk for osteoporotic fractures among RA patients allows timely prevention of OP and its complications.Objective: to evaluate the diagnostic possibilities of using a FRAX® calculator without introducing femoral neck bone mineral density (BMD) into the algorithm, as well as different therapeutic intervention thresholds to identify RA patients who need anti-osteoporotic therapy.Subjects and methods. …”
Get full text

Deep learning-based analysis of 12-lead electrocardiograms in school-age children: a proof of concept study by Shuhei Toba, Yoshihide Mitani, Yusuke Sugitani, Yusuke Sugitani, Hiroyuki Ohashi, Hirofumi Sawada, Mami Takeoka, Naoki Tsuboya, Kazunobu Ohya, Noriko Yodoya, Takato Yamasaki, Yuki Nakayama, Hisato Ito, Masahiro Hirayama, Motoshi Takao

“…The specificity of the deep learning-based model for detecting abnormal electrocardiograms was not significantly different from that of the conventional algorithm. …”
Get full text