A Fault Diagnosis Model of an Electric Submersible Pump Based on Mechanism Knowledge by Faming Gong, Siyuan Tong, Chengze Du, Zhenghao Wan, Shiyu Qiu

“…A series of experiments demonstrate that the proposed algorithm strategy can effectively improve the diagnostic accuracy of the model. …”
Get full text

Edge computing-based ensemble learning model for health care decision systems by Asir Chandra Shinoo Robert Vincent, Sudhakar Sengan

“…To solve this problem, the proposed model creates an Ensemble Extreme Learning Machine (EN-ELM) algorithm that combines predictors trained on several different data sets. …”
Get full text

Federated Learning for Brain Tumor Diagnosis: Methods, Challenges and Future Prospects by Ma Yuhan

“…Although these factors limit the widespread application of FL in medical settings, this paper also proposes potential solutions, such as improving algorithm interpretability through interpretable tools, and utilizing transfer learning and domain adaptation methods to enhance model effectiveness across different datasets. …”
Get full text

COMPUTED TOMOGRAPHY IN THE DIAGNOSIS OF LUNG DISEASES IN NEONATES AND INFANTS by N. A. Il’ina, I. E. Tyurin

“…The CT semiotics of different variants of congenital and acquired cystic  lung malformations are presented  and compared with pathomorphological signs. …”
Get full text

Capabilities of breast sonotomography (automated breast volume sonography) in the evaluation of the glandular structure of the breast in the context of its cancer risk by V. E. Gazhonova, M. P. Efremova, E. M. Bachurina, E. M. Khlyustina, S. B. Potkin

“…Objective: to study the capabilities of a procedure for sonotomography (STG) versus that of X-ray mammography (MG) in patients from different age groups who have different radiological types of the breast structure and to estimate the diagnostic   possibilities of the STG and X-ray MG procedures in detecting cancer in patients its the X-ray dense background.Materail and methods. …”
Get full text

Diagnosis and treatment of liver injuries in blunt abdominal injury using minimally invasive technologies by Ya. V. Gavrishchuk, V. A. Manukovsky, A. N. Tulupov, A. E. Demko, E. A. Kolchanov, V. E. Savello, M. N. Pravosud

“…By using the proposed algorithm in patients with stable hemodynamics, laparocentesis gave way to less traumatic and more accurate methods of diagnosing intra-abdominal bleedings. …”
Get full text

CSEPC: a deep learning framework for classifying small-sample multimodal medical image data in Alzheimer’s disease by Jingyuan Liu, Xiaojie Yu, Hidenao Fukuyama, Toshiya Murai, Jinglong Wu, Qi Li, Zhilin Zhang

“…Methods In this study, we proposed cross-scale equilibrium pyramid coupling (CSEPC), which is a novel diagnostic algorithm designed for small-sample multimodal medical imaging data. …”
Get full text

Ultrasound-based radiomic nomogram for predicting the invasive status of breast cancer: a multicenter study by Dan Yan, Jingwen Xie, Wanling Cheng, Wen Xue, Yaohong Den, JianXing Zhang

“…The diagnostic performances of these different models were assessed and compared by calculating the area under the receiver operating curve (AUC) as well as the corresponding sensitivity and specificity from the internal and external test sets. …”
Get full text

Surgical Hemostasis for Severe Multisystem Pelvic Injuries by I. V. Kazhanov, A. Y. Demko, V. A. Manukovsky, S. I. Mikityuk, V. A. Reva, E. A. Kolchanov, D. V. Pavlov

“…For the treatment of patients with severe multysistem pelvic trauma accompanied by pelvic bleeding, many algorithms have been proposed that have different procedures for the use of various methods of surgical hemostasis, but none of them may guarantee the complete arrest of pelvic bleeding. …”
Get full text

Synchronous Acquisition and Processing of Electro- and Phono-Cardiogram Signals for Accurate Systolic Times’ Measurement in Heart Disease Diagnosis and Monitoring by Roberto De Fazio, Ilaria Cascella, Şule Esma Yalçınkaya, Massimo De Vittorio, Luigi Patrono, Ramiro Velazquez, Paolo Visconti

“…An adaptive segmentation algorithm was developed to segment PCG and ECG signals based on their morphological and temporal features. …”
Get full text

Advanced biomedical imaging for identifying blood cell type: Integrating segmentation, feature extraction, and GraphSAGE model by Nur Mohammad Fahad, Mohaimenul Azam Khan Raiaan, Arefin Ittesafun Abian, Ripon Kumar Debnath, Sidratul Montaha, Mirjam Jonkman, Sami Azam

“…Background: The analysis of blood, including red blood cells (RBC) and different types of white blood cells (WBCs) plays a major role in the diagnosis of certain diseases. …”
Get full text

Using deep learning for thyroid nodule risk stratification from ultrasound images by Yasaman Sharifi, Morteza Danay Ashgzari, Susan Shafiei, Seyed Rasoul Zakavi, Saeid Eslami

“…The results demonstrated that the performance of our algorithm was better than that of the three radiologists, with a mean kappa value of 0.85 % for the five ACR-TIRADS categories compared with the gold standard. …”
Get full text

Brain tumor detection through image fusion using whale optimization and edge preserving filter by Bhattiprolu Nagasirisha, Venkatesh Munagala, Ramakrishna Reddy Eamani, Mocherla Venkata Srikanth, Asileti Suneel Kumar, Varre Venkata Kanaka Durga Prasad

“…While the detail layers are fused based on maximum energy assessed using the Krisch compass operator, the base layers are fused based on the whale optimization method,  for which the objective function is maximization of entropy, edge strength and pixel intensity. Thirty different kinds of slices of five medical datasets from diverse sources were used to assess the effectiveness of the proposed algorithm both visually and statistically compared to existing approaches. …”
Get full text

Screening of potential regulatory genes in carotid atherosclerosis vascular immune microenvironment. by Yi Zhang, Lingmin Zhang, Yunfang Jia, Jing Fang, Shuancheng Zhang, Xianming Hou

“…Finally, hub genes were identified using the maximum neighborhood component algorithm based on the construction of interaction networks, and their diagnostic efficiency was evaluated.…”
Get full text

Out-of-hospital multimodal seizure detection: a pilot study by Martin Ballegaard, Troels Wesenberg Kjær, Ivan Chrilles Zibrandtsen, Jonas Munch Nielsen, Ástrós Eir Kristinsdóttir, Paolo Masulli, Tobias Søren Andersen

“…In-patient studies have found that combining different modalities helps improve the seizure detection accuracy. …”
Get full text

Experience in Using Low-Dose Computed Tomography in Children and Adolescents with Pulmonary Tuberculosis by I. Yu. Petrakova, S. G. Mikhaylov, I. Е. Tyurin, M. F. Gubkina, M. Yu. Izmaylov

“…The design of the study, which included patients aged 2–17 years with active pulmonary TB and post-TB changes treated in Central Tuberculosis Research Institute in 2021–2023, consisted of two parts as follows: part 1 (a prospective selective study) – independent assessment of LDCT vs standard-dose CT (SDCT) diagnostic accuracy by two radiologists in 44 patients with TB process stabilization; part 2 – cohort one-time assessment of LDCT image quality in 144 patients at different phases of TB treatment. …”
Get full text

Fault Diagnosis Method for Vacuum Contactor Based on Time-Frequency Graph Optimization Technique and ShuffleNetV2 by Haiying Li, Qinyang Wang, Jiancheng Song

“…Firstly, vibration signals in different states are collected and converted into GST time-frequency graphs. …”
Get full text

Left ventricular noncompaction associated with titin-truncating variants in the TTN gene by Yu. A. Vakhrushev, T. I. Vershinina, P. A. Fedotov, A. A. Kozyreva, A. M. Kiselev, Yu. V. Fomicheva, E. S. Vasichkina, T. M. Pervunina, A. A. Kostareva

“…We identified genetic variants in the TTN gene leading to the synthesis of truncated protein: in the first two cases, the cause of noncompaction was a thirteen nucleotide deletion with a reading frame shift, in the second, a nonsense mutation. An algorithm for assessing the pathogenicity of the identified variants and a scheme of diagnostic genetic search are presented.Conclusion. …”
Get full text

Bearing Fault Diagnosis in the Mixed Domain Based on Crossover-Mutation Chaotic Particle Swarm by Tongle Xu, Junqing Ji, Xiaojia Kong, Fanghao Zou, Wilson Wang

“…The effectiveness of the proposed new bearing fault diagnostic technique is verified by experimental tests under different bearing conditions. …”
Get full text

Magnetic resonance imaging of the liver and spleen in the diagnosis of storage diseases by Z. M. Shapieva, O. V. Kucheruk, V. E. Sinitsyn, E. A. Mershina

Get full text