LEVELS OF PATIENTS EXPOSURE AND A POTENTIAL FOR OPTIMIZATION OF THE PET DIAGNOSTICS IN THE RUSSIAN FEDERATION by L. A. Chipiga, I. A. Zvonova, D. V. Ryzhkova, M. A. Menkov, М. B. Dolgushin

“…Low dose computed tomography protocols, justification of diagnostic and multiphase computed tomography protocols, application of tube current modulation system and modern reconstruction algorithms, education and training of the staff in the field of radiation protection should be used for optimization of radiation protection of patient.…”
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Diagnostic Performance of Artificial Intelligence–Based Methods for Tuberculosis Detection: Systematic Review by Seng Hansun, Ahmadreza Argha, Ivan Bakhshayeshi, Arya Wicaksana, Hamid Alinejad-Rokny, Greg J Fox, Siaw-Teng Liaw, Branko G Celler, Guy B Marks

“…However, none of the various TB diagnostic tools introduced is deemed sufficient on its own for the diagnostic pathway, so various artificial intelligence (AI)–based methods have been developed to address this issue. …”
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Identification of Energy Metabolism-Related Subtypes and Diagnostic Biomarkers for Osteoarthritis by Integrating Bioinformatics and Machine Learning by Xu S, Ye J, Cai X

“…Subsequently, we successfully identified two characteristic genes, NUP98 and RPIA, and demonstrated statistically significant differences (P < 0.05) and diagnostic performance in the validation cohort. …”
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Enhancing breast cancer diagnosis through machine learning algorithms by Javad Amraei, Aboulfazl Mirzapoor, Kiomars Motarjem, Mohammad Abdolahad

“…Bearing in mind that there are more than 100 types of cancer, each presenting different symptoms, its early detection is indeed a big challenge. …”
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APPLICATION OF THE WORD2VEC ALGORITHM FOR CLINICAL DIAGNOSIS DETERMINATION by Uzeyir Gurbanli

“…It also focuses on evaluating the quality of diagnostic and treatment processes through applıcation of different methods and practical application. …”
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Detection of Plants Leaf Diseases using Swarm Optimization Algorithms by Saud Abdul Razzaq, Baydaa Khaleel

“…In this research, some artificial intelligence algorithms, represented by swarm optimization algorithms, were used to detect and classify plant diseases to healthy and unhealthy through images of different leaves of plants. …”
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Osteoarthritis as an interdisciplinary problem: treatment algorithm for physicians and general practitioners by A. M. Lila, L. I. Alekseeva, E. A. Taskina, N. G. Kashevarova

“…The article presents simple and convenient algorithms, including diagnostic criteria, options for providing medical care, as well as situations (so-called red flags) that require referral of a patient to a specialist, primarily a rheumatologist. …”
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Medical Images Segmentation Based on Unsupervised Algorithms: A Review by Revella E. A. Armya, Adnan Mohsin Abdulazeez

“…The key aim of this paper is to study some literature on unsupervised algorithms (K-mean, K-medoids) and to compare the working efficiency of unsupervised algorithms with different types of medical images. …”
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An Artificial Intelligence QRS Detection Algorithm for Wearable Electrocardiogram Devices by Zihao Li, Wenliang Zhu, Yiheng Xu, Yunbo Guo, Junbo Li, Peng Song, Ying Liang, Binquan You, Lirong Wang

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Chronic Kidney Disease Prediction Based On Machine Learning Algorithms by Kethineni Likitha., Nithinchandra, Kumar Narendra, Sk Sajida Sultana.

“…These results not only show how different recommendation algorithms work but also point out the significant influence of hyper parameter tuning on improved predictive precision. …”
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Forensic Genetics: A Machine Learning Algorithm for Mutation Modelling by Sofia Antão Sousa, Leonor Gusmão, Marisa Faustino, António Amorim, Nádia Pinto

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Cell-free plasma miRNAs analysis for low invasive lung cancer diagnostics by M. Yu. Konoshenko, P. P. Laktionov, Yu. A. Lancuhaj, S. V. Pak, S. E. Krasilnikov, O. E. Bryzgunova

“…Thus, plasma extracellular vesicles are characterized by greater potential as a source for miRNA based lung cancer diagnostic panels in comparison with blood plasma. Diagnostic algorithm based on aberrant miRNA expression of 8 different miRNAs (miRNA-30e, -1, -125b, -133, -222, -374, -425, -660) composed in 6 pairs was designed. …”
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<i>Clostridioides difficile</i> Infections in Children: What Is the Optimal Laboratory Diagnostic Method? by Mohammed Suleiman, Patrick Tang, Omar Imam, Princess Morales, Diyna Altrmanini, Jill C. Roberts, Andrés Pérez-López

“…The results of these tests as standalone methods or in four different testing algorithms were compared to a composite reference method on the basis of turnaround time, ease of use, cost, and performance characteristics including specificity, sensitivity, negative predictive value, and positive predictive value. …”
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Diagnostics of retinal pathologies by optical coherence tomography images using artificial intelligence tools by V. V. Neroev, A. A. Bragin, O. V. Zaytseva

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LYN and CYBB are pivotal immune and inflammatory genes as diagnostic biomarkers in recurrent spontaneous abortion by Zhuna Wu, Qiuya Lin, Zhimei Zhou, Yajing Xie, Li Huang, Liying Sheng, Qirong Shi, Yumin Ke

“…We further confirmed the expression levels and diagnostic value of key genes by performing immunohistochemistry (IHC) in clinical tissue samples. …”
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Common diagnostic biomarkers and molecular mechanisms of Helicobacter pylori infection and inflammatory bowel disease by Minglin Zhang, Tong Liu, Lijun Luo, Yi Zhang, Qijiao Chen, Fen Wang, Yuxin Xie

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Fundoscopy as a diagnostic biomarker in idiopathic normal pressure hydrocephalus: a pilot study by Sune Munthe, Frantz Rom Poulsen, Mathias Just Nortvig, Niclas Lynge Eriksen, Mikkel C Schou Andersen, Emma Tubæk Nielsen, Christian Bonde Pedersen

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Results of external quality control study in flow cytometric acute lymphoblastic leukemia diagnostics by A. M. Popov, T. U. Verzhbitskaya, E. E. Zueva, O. V. Anan’eva, E. V. Babenko, L. V. Baydun, E. A. Belyakova, E. V. Boyakova, O. G. Bortnikova, M. V. Gorchakova, L. Yu. Grivtsova, E. N. Grinkevich, Yu. V. Davydova, E. I. Zakhar’ko, O. I. Illarionova, N. M. Kaprano, E. A. Koroleva, S. A. Kochengina, E. G. Kuz’mina, E. A. Kustova, T. A. Makarova, Yu. V. Mirolyubova, O. E. Murashkina, T. Yu. Mushkarina, E. S. Nisheva, I. A. Novikova, E. Yu. Osipova, G. E. Pluzhnikova, M. E. Pochtar, N. V. Pronkina, E. V. Rusanova, E. B. Rybkina, O. V. Seliverstova, N. N. Tupitsin, G. I. Uleyskaya, N. T. Urazalieva, L. G. Fechina, O. V. Khoroshikh, O. E. Tsareva, L. A. Shchekina, S. A. Plyasunova, S. A. Lugovskaya

“…All these problems are the serious obstacles for standardization of flow cytometric ALL diagnostics in multicenter setting. Continuation of similar QC rounds following by consecutive discussions with further development of consensus diagnostic algorithm could be the first step for standardization of ALL immunophenotyping in Russian Federation and CIS countries.…”
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Diagnostic value of N-terminal pro-B-type natriuretic peptide in hemodialysis patients by D. S. Sedov, E. A. Fedotov, A. P. Rebrov

“…Aim. To assess the diagnostic value of N-terminal pro-B-type natriuretic peptide (NT-proBNP) in hemodialysis (HD) patients.Material and methods. …”
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Texture Analysis in Volumetric Imaging for Dentomaxillofacial Radiology: Transforming Diagnostic Approaches and Future Directions by Elaine Dinardi Barioni, Sérgio Lúcio Pereira de Castro Lopes, Pedro Ribeiro Silvestre, Clarissa Lin Yasuda, Andre Luiz Ferreira Costa

“…This method enhances diagnostic accuracy, particularly for the assessment of oral and maxillofacial pathologies. …”
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