Evaluation of the clinical effectiveness of diagnosis and monitoring of inflammatory and destructive diseases of the oral mucosa from the standpoint of a patient-guided approach by Yu. A. Makedonova, V. V. Shkarin, S. V. Dyachenko, L. M. Gavrikova, D. Yu. Dyachenko, L. V. Zhuravlev

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Among Artificial Intelligence/Machine Learning Methods, Automated Gradient-Boosting Models Accurately Score Intraoral Plaque in Non-Standardized Images by Eric Coy, William Santo, Bonnie Jue, Helen Betts, Francisco Ramos-Gomez, Stuart A. Gansky

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Post-Transplant Liver Monitoring Utilizing Integrated Surface-Enhanced Raman and AI in Hepatic Ischemia-Reperfusion Injury Animal Model by Lee S, Kwon H, Oh J, Kim KR, Hwang J, Kang S, Lee K, Namgoong JM, Kim JK

“…Keywords: liver ischemia-reperfusion injury, liver function, surface-enhanced Raman spectroscopy, discriminant analysis, machine learning algorithm…”
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Non-Invasive Techniques for Monitoring and Fault Detection in Internal Combustion Engines: A Systematic Review by Norah Nadia Sánchez Torres, Jorge Gomes Lima, Joylan Nunes Maciel, Mario Gazziro, Abel Cavalcante Lima Filho, Cicero Rocha Souto, Fabiano Salvadori, Oswaldo Hideo Ando Junior

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Lactate-related gene signatures as prognostic predictors and comprehensive analysis of immune profiles in nasopharyngeal carcinoma by Changlin Liu, Chuping Ni, Chao Li, Hu Tian, Weiquan Jian, Yuping Zhong, Yanqing Zhou, Xiaoming Lyu, Yuanbin Zhang, Xiao-Jun Xiang, Chao Cheng, Xin Li

“…Using three machine learning algorithms, this list was further refined, resulting in three primary lactate-related biomarkers: TPPP3, MUC4 and CLIC6. …”
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Optimizing Fall Risk Diagnosis in Older Adults Using a Bayesian Classifier and Simulated Annealing by Enrique Hernandez-Laredo, Ángel Gabriel Estévez-Pedraza, Laura Mercedes Santiago-Fuentes, Lorena Parra-Rodríguez

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Artificial intelligence in neuroimaging: Opportunities and ethical challenges by Neha Brahma, S. Vimal

“…The integration of artificial intelligence (AI) into neuroimaging represents a transformative shift in the diagnosis and treatment of neurodegenerative diseases. AI algorithms, particularly deep learning models, have demonstrated remarkable capabilities in analyzing complex neuroimaging data, leading to enhanced diagnostic accuracy and personalized treatment strategies. …”
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A hybrid bio-inspired augmented with hyper-parameter deep learning model for brain tumor classification by Morolake Oladayo Lawrence

“…The proposed model can be employed as a diagnostic tool for other medical imaging applications as evident in the study’s findings. …”
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Quantum Computing in Medicine by James C. L. Chow

“…The paper covers significant milestones where QC has intersected with medical research, including breakthroughs in drug discovery, molecular modeling, genomics, and medical diagnostics. …”
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DEFINITION AND ANALYSIS OF MOTION ACTIVITY AFTER-STROKE PATIENT FROM THE VIDEO STREAM by M. Yu. Katayev, N. G. Katayeva, S. G. Katayev, M. O. Abramov, V. A. Chistyakova

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Strawberry Disease Detection Using Multispectral UAV Imagery by A. F. Cheshkova, V. S. Riksen

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Recognition of signs of Parkinson's disease based on the analysis of voice markers and motor activity by U. A. Vishniakou, Xia Yiwei

“…On the same set of data on motion deceleration, one of the best indicators of foreign researchers is 98.8%. The proposed author's technique is intended for use in the subsystem of IT diagnostics of neurological diseases of a Smart city.…”
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Protocol for nationwide surveillance of Acute Encephalitis Syndrome (AES) in a network of tertiary care hospitals in India by Anoop Velayudhan, Harmanmeet Kaur, Rahul Dhodapkar, Labanya Mukhopadhyay, Rizwan S. Abdulkader, Sabarinathan R, Valsan Philip Verghese, Lalit Dar, Rakesh Lodha, Ravi V, Sam Joy, Pragya Yadav, Amita Jain, Ajanta Sharma, Kaveri K, Sayantan Banerjee, Anitha PM, Manjusree S, Bharti Malhotra, Baijayantimala Mishra, Mala Chhabra, Asim Sarfraz, Bashir Fomda, Mahima Mittal, Manoj Murhekar, Nivedita Gupta

“…Methods The current manuscript outlines a protocol designed to characterize the infectious causes of AES in affected regions of India through a network of 12 selected tertiary care hospitals and their associated Virus Research and Diagnostic Laboratories (VRDLs). A standardized tiered testing algorithm accounting for a wide range of possible etiological agents of infectious AES has been developed for use in the protocol, which aims to employ serological and molecular techniques to diagnose AES-causing priority pathogens. …”
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A Mechanical Fault Diagnosis Method for On-Load Tap Changers Based on GOA-Optimized FMD and Transformer by Ruifeng Wei, Zhenjiang Chen, Qingbo Wang, Yongsheng Duan, Hui Wang, Feiming Jiang, Daoyuan Liu, Xiaolong Wang

“…What distinguishes this research is its incorporation of a GOA–FMD and a Transformer-based attention mechanism for pattern recognition into a unified and efficient diagnostic framework. …”
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Early diagnosis of lung cancer using a sensor gas analysis complex: case report by E. O. Rodionov, D. E. Kulbakin, D. V. Podolko, E. V. Obkhodskaya, A. V. Obkhodskiy, S. V. Miller, A. A. Mokh, V. I. Sachkov, A. S. Popov, V. I. Chernov

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Automated classification of oral potentially malignant disorders and oral squamous cell carcinoma using a convolutional neural network framework: a cross-sectional studyResearch in... by Cristina Saldivia-Siracusa, Eduardo Santos Carlos de Souza, Arnaldo Vitor Barros da Silva, Anna Luíza Damaceno Araújo, Caíque Mariano Pedroso, Tarcília Aparecida da Silva, Maria Sissa Pereira Sant'Ana, Felipe Paiva Fonseca, Hélder Antônio Rebelo Pontes, Marcos G. Quiles, Marcio Ajudarte Lopes, Pablo Agustin Vargas, Syed Ali Khurram, Alexander T. Pearson, Mark W. Lingen, Luiz Paulo Kowalski, Keith D. Hunter, André Carlos Ponce de Leon Ferreira de Carvalho, Alan Roger Santos-Silva

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Reliability Evaluation and Preventive Maintenance Strategy Selection of Traction Substation Equipment Considering Its Wear Degree by E. E. Bakeev, A. I. Sharapova

“…It is a challenging task so far as the existing diagnostic techniques do not deliver complete information on the equipment reliability and it is necessary to find optimum maintenance strategy in terms of incomplete system condition data. …”
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Early Detection of Alzheimer’s Disease via Machine Learning-Based Microwave Sensing: An Experimental Validation by Leonardo Cardinali, Valeria Mariano, David O. Rodriguez-Duarte, Jorge A. Tobón Vasquez, Rosa Scapaticci, Lorenzo Crocco, Francesca Vipiana

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Quantum-classical deep learning hybrid architecture with graphene-printed low-cost capacitive sensor for essential tremor detection by Javier Villalba-Díez, Ana González-Marcos

“…Abstract This study presents a novel hardware and software architecture combining capacitive sensors, quantum-inspired algorithms, and deep learning applied to the detection of Essential Tremor. …”
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ACCOUNTING OF INSTRUMENTAL ERRORS IN THE CONTROL OF WINDINGS OF ELECTRICAL MACHINES WITH THE USE OF QUASI-PERIODIC TEST SIGNALS by A. A. Sheinikov, Yu. V. Suchodolov, V. V. Zelenko

“…Ideally, the shape of the optimal filter frequency response should coincide with the shape of the spectrum of the useful signal, which determines the complexity of such a filter. The aim of the research is to increase the accuracy of measurements and simplify the algorithmic support of measuring systems by developing a mathematical tool that makes it possible to uniquely identify and take into account errors caused by the finiteness of the measurement intervals in the processing. …”
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