Use of functional magnetic resonance imaging in patients with irritable bowel syndrome and functional dyspepsia by Katarzyna Skrobisz, Grażyna Piotrowicz, Adrianna Drozdowska, Karolina Markiet, Agnieszka Sabisz, Patrycja Naumczyk, Grażyna Rydzewska, Edyta Szurowska

“…Nowadays, advanced imaging techniques such as fMRI are more frequently used and are acknowledged among both clinicians and radiologists in the diagnostic algorithm of digestive tract diseases. Functional dyspepsia is a condition in which neuroimaging allows for analysis of dysfunctions within the brain-gut axis (BGA) engaged in processing of visceral discomfort and pain. …”
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Intraoperative hypotension prediction in cardiac and noncardiac procedures: is HPI truly worthwhile? A systematic review and meta-analysis by Erfan Shirmohamadi, Reza Hosseini Dolama, Narjes Mohammadzadeh, Navid Ebrahimi, Negar Ghasemloo

“…The comparison of HPI and MAP for diagnostic accuracy showed minimal differences across all time frames, with SMD values close to zero. …”
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Identification and validation of endoplasmic reticulum autophagy-related potential biomarkers in periodontitis by Ruyue Wang, Jinyue Hu, Qing Sun, Shuixiang Guo, Gege Zhang, Ao Lu, Shuo Liu, Xue Yang, Lina Wang

“…Random forest, least absolute shrinkage and selection operator (LASSO) and support vector machine-recursive feature removal (SVM-RFE) algorithms were used to identify hub genes. Receiver operating characteristic (ROC) curves and areas under the curve (AUCs) were calculated to assess diagnostic performance and identify potential biomarkers for periodontitis. …”
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Integrated analysis unraveling the immunologic and clinical prognostic values of synaptotagmin like 4 in pan-cancer by Yuehan Ren, Xiangbin Wu, Jinlei Li, Zhenhua Zhou, Shichang Ni, Jianhui Cai

“…Additionally, we depicted a pan-cancer survival map and explored the differences of gene expressions among cancers with different molecular subtypes. …”
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Development of Artificial Intelligence-Based Programs for the Diagnosis of Myocarditis in COVID-19 Using Chest Computed Tomography Data» by Ievgen A. Nastenko, Maksym O. Honcharuk, Vitalii O. Babenko, Mykola I. Lynnyk, Viktoria I. Ignatieva, Vitalii A. Yachnyk

“…Therefore, the research was focused on finding structural changes in CT images for their use in constructing diagnostic models. The use of different classification algorithms had little effect on classification accuracy, probably due to the informational content of the input data. …”
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Comparison of Synapse 3D system (Version 4.4) and DirectPath system (Version 2.0) in virtual bronchoscopic navigation application for peripheral pulmonary nodules by Xiang Li, Sen Tian, Yifei Zhang, Hui Chen, Yilin Chen, Qin Wang, Wei Zhang, Hui Shi, Haidong Huang, Xiaping Shen, Yao Fang, Lei Qu, Zhenhong Hu, Yuchao Dong, Chong Bai

“…Background: Differences between virtual bronchoscopic navigation (VBN) systems and their impacts on the diagnostic yield of transbronchial biopsy (TBB) of peripheral pulmonary nodules (PPNs) remain unclear. …”
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Metabolomic profiling and biomarker identification for early detection and therapeutic targeting of doxorubicin-induced cardiotoxicity by Jingjing Ding, Jingjing Ding, Xianzhen Feng, Zhongqing Xu, Hong Xu

“…Key metabolites were assessed using a random forest algorithm, and ROC curves evaluated diagnostic value. …”
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Identifying common disease trajectories of Alzheimer’s disease with electronic health recordsResearch in context by Mingzhou Fu, Sriram Sankararaman, Bogdan Pasaniuc, Keith Vossel, Timothy S. Chang

“…Causal inferences were explored using the Greedy Equivalence Search algorithm. Validation in the UCHDW included association tests and comparison to control groups. …”
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An Antinoise Fault Diagnosis Method Based on Multiscale 1DCNN by Jie Cao, Zhidong He, Jinhua Wang, Ping Yu

“…Experimental results illustrate that the improved methods proposed in this paper effectively enhance the diagnostic performance of MSK-1DCNN under intense noise, and the diagnostic accuracy is higher than that of other comparison algorithms.…”
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Relationship Between Sepsis Phenotypes and Treatment Characteristics of Patients with Viral and Bacterial Pneumonia by I. A. Ruslyakova, E. Z. Shamsutdinova, L. B. Gaikovaya

“…Sepsis phenotypes were identified using algorithm proposed by Seymour C.W. et al. In SCAP cases associated with COVID-19 infection (n=293, 51.6%) patients received genetically engineered biological therapy (GIBT). …”
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Association between frailty and pain in older people at high risk of future hospitalization by Huan-Ji Dong, Joakim Yang, Maria M. Johansson, Maria M. Johansson, Anneli Peolsson, Anneli Peolsson, Marco Barbero, Magnus Nord, Magnus Nord

“…BackgroundPrevious studies have demonstrated an independent association between pain and frailty, but knowledge about this association with different pain characteristics is limited.ObjectiveThis study was embedded in a prospective, pragmatic, matched-control multicenter trial at 19 primary care practices in south-eastern Sweden (ClinicalTrials.gov 170608, ID: NCT03180606), aiming to investigate the association between frailty and pain characteristics among older people (75+) at high risk of hospitalization.MethodsHigh risk of hospitalization was identified using case-finding algorithm including 32 diagnostic codes of morbidities and healthcare use. …”
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Cloud-magnetic resonance imaging system: In the era of 6G and artificial intelligence by Yirong Zhou, Yanhuang Wu, Yuhan Su, Jing Li, Jianyu Cai, Yongfu You, Jianjun Zhou, Di Guo, Xiaobo Qu

“…Data isolation across different healthcare institutions hinders cross-institutional collaboration in clinics and research. …”
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A novel mitochondrial quality regulation gene signature for anticipating prognosis, TME, and therapeutic response in LUAD by multi-omics analysis and experimental verification by Lijun Zeng, Sixuan Wu, Zhimin Li, Yuanbin Tang, Yeru Tan, Renji Liang, Yuehua Li

“…Utilizing the LASSO algorithm and multivariate COX regression, a predictive risk model was created. …”
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Towards quantitative assessment of cerebrovascular autoregulation in human neonates using ultrafast ultrasound imaging by Nikan Fakhari, Julien Aguet, Alison Howell, Minh Nguyen, Luc Mertens, Lynn Crawford, Maelys Venet, Christoph Haller, David Barron, John G. Sled, Jérôme Baranger, Olivier Villemain

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Incorporating Wave-ViT for Breast Cancer Diagnosis Using MRI Imaging by Sahil Mahey, Hamid Usefi

“…Machine learning (ML) algorithms offer a transformative solution by automating this process, improving efficiency, and enhancing diagnostic accuracy. …”
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Diagnosis of dysphagia in the practice of a family doctor (clinical cases). by О. A. Rosytska, A. V. Chernilovski

“…The article presents diagnostic algorithms for the actions of the ge­neral practitioner-family doctor in the detection of dysphagia and clinical cases of this syndrome of different etiology.…”
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Migraine triggers, phases, and classification using machine learning models by Anusha Reddy, Ajit Reddy

“…This study will only consider using these methods for diagnostic purposes. Models based on these algorithms are then trained using the dataset, which includes a compilation of the types of migraine experienced by various patients. …”
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Automatic diagnosis of extraocular muscle palsy based on machine learning and diplopia images by Xiao-Lu Jin, Xue-Mei Li, Tie-Juan Liu, Ling-Yun Zhou

“…The DL (64 categories) and DL (6 binary classifications) algorithms have a significant advantage over other machine learning algorithms regarding diagnostic accuracy on the test set, with a high level of consistency with clinical diagnoses made by physicians. …”
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MANAGEMENT OF PATIENTS WITH PARKINSON’S DISEASE AND AN OVERACTIVE BLADDER by E. S. Korshunova, M. N. Korshunov, S. P. Darenkov

“…The lecture is about сurrent achievements in fundamental studies in the problem of urination disorders in Parkinson’s disease. We have updated diagnostic algorithms that allow to identify different type of lower urinary tract symptoms, to spot infravesical obstruction which can radically change the treatment of a particular patient.…”
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A novel hybrid extreme learning machine-based diagnosis model for sensor node faults in aquaculture by Bing Shi, Zelin Gao, Tianheng Pu, Jianming Jiang, Yueping Sun

“…The dataset of water parameters was obtained based on constructing a monitoring system for intensive aquaculture. Four different proportions of fault data, respectively 5 $$\%$$ ,10 $$\%$$ ,15 $$\%$$ , and 20 $$\%$$ , were added to the dataset to create new datasets for training the model.Test results of the new diagnostic model show an average classification accuracy of 99.30 $$\%$$ ,indicating that the proposed fault diagnosis model in this study enhances fault classification accuracy compared to other diagnostic algorithms.…”
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