Preferences substantiation for non-destructive diagnostic methods selecting pores diffusion coefficient in block products by V. P. Belyaev, M. P. Belyaev, L. G. Varepo, P. S. Belyaev, V. V. Pavlinov

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Diagnostics and treatment of diverticular disease of the colon: guidelines of the Russian gastroenterological Association and Russian Association of Coloproctology by V. T. Ivashkin, Yu. A. Shelygin, S. I. Achkasov, S. V. Vasilyev, Ye. G. Grigoryev, V. V. Dudka, B. N. Zhukov, O. Yu. Karpukhin, A. M. Kuzminov, V. F. Kulikovsky, T. L. Lapina, A. V. Lakhin, I. V. Mayev, A. I. Moskalev, A. V. Muravyev, V. V. Polovinkin, Ye. A. Poluektova, Yu. M. Stoyko, V. M. Timerbulatov, A. S. Trukhmanov, S. A. Frolov, G. I. Chibisov, O. S. Shifrin, A. A. Sheptulin, I. L. Khalif, A. G. Efron, V. V. Yanovoy

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Triage and Protocol Recommendations for the Parasitology Laboratory Based on an Epidemiological Investigation of Parasite Diagnostics in Ontario Laboratories by Allison Maier, Julia Krolik, Anna Majury

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Peripheral Calcifying Epithelial Odontogenic Tumour Mimicking a Gingival Inflammation: A Diagnostic Dilemma by Danielle Lima Corrêa de Carvalho, Alan Motta do Canto, Fernanda de Paula Eduardo, Letícia Mello Bezinelli, André Luiz Ferreira Costa, Paulo Henrique Braz-Silva

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Breaking barriers: enhancing cancer detection in younger patients by overcoming diagnostic bias in primary care by Waseem Jerjes, Waseem Jerjes, Daniel Harding, Daniel Harding

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Neoplasms in the Nasal Cavity Identified and Tracked with an Artificial Intelligence-Assisted Nasal Endoscopic Diagnostic System by Xiayue Xu, Boxiang Yun, Yumin Zhao, Ling Jin, Yanning Zong, Guanzhen Yu, Chuanliang Zhao, Kai Fan, Xiaolin Zhang, Shiwang Tan, Zimu Zhang, Yan Wang, Qingli Li, Shaoqing Yu

“…Objective: We aim to construct an artificial intelligence (AI)-assisted nasal endoscopy diagnostic system capable of preliminary differentiation and identification of nasal neoplasia properties, as well as intraoperative tracking, providing an important basis for nasal endoscopic surgery. …”
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Combination of Multifocal Electroretinogram and Spectral-Domain OCT Can Increase Diagnostic Efficacy of Parkinson’s Disease by Jiang Huang, Yi Li, Jianjiang Xiao, Qin Zhang, Guoxu Xu, Guanhui Wu, Tong Liu, Weifeng Luo

“…Both of them were higher in diagnostic value to discriminate PD patients. Conclusion. …”
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Enhancing cardiac diagnostics: a deep learning ensemble approach for precise ECG image classification by Ahmed Alsayat, Alshimaa Abdelraof Mahmoud, Saad Alanazi, Ayman Mohamed Mostafa, Nasser Alshammari, Majed Abdullah Alrowaily, Hosameldeen Shabana, Mohamed Ezz

“…Abstract Cardiovascular diseases are a global health challenge that necessitates improvements in diagnostic accuracy and efficiency. This study examines the potential of deep learning (DL) models for the classification of electrocardiogram (ECG) images to assist in the identification of various cardiac conditions. …”
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Exploring the relationship between sepsis and Golgi apparatus dysfunction: bioinformatics insights and diagnostic marker discovery by Wanli Ma, Xinyi Liu, Ran Yu, Jiannan Song, Lina Hou, Ying Guo, Hongwei Wu, Dandan Feng, Qi Zhou, Haibo Li

“…Finally, key diagnostic biomarkers were identified and validated across multiple datasets to confirm their diagnostic accuracy.ResultsBy intersecting DEGs, WGCNA modules, and Golgi-related gene sets, 53 overlapping GARGs were identified. …”
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Improving the diagnostic accuracy of referrals for papilloedema (DIPP) study: protocol for a mixed-methods study by Luke Bennetto, Beth Stuart, Jonathan Benger, Matthew J Ridd, Helen Bolton, William Hollingworth, Michael Bowen, Amar Shah, Samuel William David Merriel, Alyson Huntley, Victoria Wilson, Maria Theresa Redaniel, Paul Roy, Denize Atan, Frank Moore, Olivia Skrobot, Mary-Ann Sherratt, Marcia Lucraft, Christina Stokes

“…This information will be used to inform a Delphi process with the aim of reaching consensus among health professional experts, commissioners and patients on what the most evidence-based and safe diagnostic and referral practices should be for people with suspected papilloedema. …”
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Diagnostic Performance of Deep Learning Applications in Hepatocellular Carcinoma Detection Using Computed Tomography Imaging by Enes Şahin, Ozan Can Tatar, Mehmet Eşref Ulutaş, Sertaç Ata Güler, Turgay Şimşek, Nihat Zafer Utkan, Nuh Zafer Cantürk

“…The YOLO-based DL model was trained on these images, with subsequent phases for validation and testing to assess the model’s diagnostic capabilities comprehensively. Results: The model exhibited exceptional diagnostic accuracy, with a precision of 0.97216, recall of 0.919, and an overall accuracy of 95.35%, significantly surpassing traditional diagnostic approaches. …”
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Diagnostic and Clinical Significance of Serum Levels of D-Lactate and Diamine Oxidase in Patients with Crohn’s Disease by Jierui Cai, Hong Chen, Meiling Weng, Shuyu Jiang, Jie Gao

“…In addition, the ROC curve was used to evaluate the diagnostic accuracy of these two biomarkers. Results. …”
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A scoping review protocol on diagnostic strategies to detect occult malignancies in individuals with ischemic stroke. by Jenneke Leentjens, Nicholas L J Chornenki, Janneke Spiegelenberg, Valentina Ly, Dariush Dowlatshahi, Deborah M Siegal

“…About 6% of patients with cryptogenic ischemic stroke (unknown etiology after diagnostic evaluations) are diagnosed with cancer within one year. …”
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Guidelines of the Russian Gastroenterological Association on diagnostics and treatment of <i>Helicobacter pylori</i> infection in adults by article Editorial

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Physical Therapists Use of Diagnostic Ultrasound Imaging in Clinical Practice: A Review of Case Reports by Robert Manske, Katherine Podoll, Alycia Markowski, Maureen Watkins, Lorna Hayward, Murray Maitland

“…# Objective Ultrasound diagnostic imaging (USI) is widely utilized in sports medicine, orthopaedics, and rehabilitation. …”
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Ultrasonic, Molecular and Mechanical Testing Diagnostics in Natural Fibre Reinforced, Polymer-Stabilized Earth Blocks by C. Galán-Marín, C. Rivera-Gómez, F. Bradley

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Ontology-based expansion of virtual gene panels to improve diagnostic efficiency for rare genetic diseases by Jaemoon Shin, Toyofumi Fujiwara, Hirotomo Saitsu, Atsuko Yamaguchi

“…This approach identifies candidate genes without excluding disease-causing genes, and thereby improves diagnostic efficiency.…”
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Diagnostic and Prognostic Value of Hyperammonemia in Patients with Liver Cirrhosis, Hepatic Encephalopathy, and Sarcopenia (Experts’ Agreement) by M. Yu. Nadinskaia, M. V. Maevskaya, I. G. Bakulin, E. N. Bessonova, A. O. Bueverov, M. S. Zharkova, S. V. Okovityi, A. S. Ostrovskaya, K. A. Gulyaeva, V. T. Ivashkin

“…The Russian Scientific Liver Society selected a panel of seven experts in liver cirrhosis research and management of patients with this disease to make reasoned statements and recommendations on the issue of diagnostic and prognostic value of hyperammonemia in patients with liver cirrhosis, hepatic encephalopathy and sarcopenia.Results. …”
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Circulating Cytokine Levels as Markers of Inflammation in Philadelphia Negative Myeloproliferative Neoplasms: Diagnostic and Prognostic Interest by Julie Mondet, Kais Hussein, Pascal Mossuz

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The role of endoscopic investigation in expertise and rehabilitation diagnostics of patients and disabled persons after stomach surgery by K. A. Velikolug, Zh. M. Sizova, Ye. K. Baranskaya

Subjects: “…expertise and rehabilitational diagnostics…”
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