The Heart of Transformation: Exploring Artificial Intelligence in Cardiovascular Disease by Mohammed A. Chowdhury, Rodrigue Rizk, Conroy Chiu, Jing J. Zhang, Jamie L. Scholl, Taylor J. Bosch, Arun Singh, Lee A. Baugh, Jeffrey S. McGough, KC Santosh, William C.W. Chen

“…This review summarizes current advancements in AI and ML concerning cardiovascular disease, including their clinical investigation and use in primary cardiac imaging techniques, common cardiovascular disease categories, clinical research, patient care, and outcome prediction. We analyze and discuss commonly used AI and ML models, algorithms, and methodologies, highlighting their roles in improving clinical outcomes while addressing current limitations and future clinical applications. …”
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Diseases with major salivary glands enlargement and orbits, nose and paranasal sinuses lesions in the practice of a rheumatologist by E. V. Sokol, A. V. Torgashina, B. D. Chaltsev, Yu. I. Khvan, O. A. Golovina

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Species delimitation and microalgal cryptic diversity analysis of the genus Micractinium (Chlorophyta) by E. S. Krivina, A. D. Temraleeva, Yu. S. Bukin

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Magnetic resonance imaging relevance in diagnosis and prognosis of early postoperative period following pancreatic cancer surgical treatment by E. N. Kolesnikov, D. Ya. Iozefi, O. I. Kit, A. Yu. Maksimov

“…Improvement of the prognostic outcomes for the pancreatic fistula development in surgical treatment for pancreatic cancer by implementation of new diagnostic algorithms for magnetic resonance imaging (MRI) assessment of supposed pancreatic stump.Materials and methods. …”
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Organisation of physical education at the university based on students’ constitutional types and health groups by M. M. Kolokoltsev, S. S. Iermakov, N. V. Tretyakova

“…Specific morphological and physiometric characteristics of an organism and belonging to a certain somatotype should be taken into account when organising physical training in higher education institutions.The aim of the research was to establish the degree of correlation of motor and functional characteristics of an organism of students with different constitutional types and health groups in order to improve an algorithm of planning and effective safe implementation process of physical training in a higher education institution.Methodology and research methods. …”
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Congenital cytomegalovirus infection and its impact on the auditory function by R. A. Ivanova, M. Yu. Boboshko, E. S. Garbaruk, S. M. Vikhnina, V. V. Vasiliev, N. V. Rogozina, A. A. Grineva

“…It leads to delayed diagnostics of hearing impairments in children. The aim is to assess the frequency and time of hearing loss occurrence in children with congenital cytomegalovirus infection and to develop the audiological follow-up algorithm adapted for those children. …”
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Dataset for identifying paracentral acute middle maculopathy lesions in spectral-domain optical coherence tomography imagesMendeley Data by Tianqiao Zhang, Mengjiao Zhang, Dexun Zhang, Wenjing Meng, Zhenzhen Li, Zhengwei Zhang

“…Furthermore, it supports the improvement of diagnostic accuracy and the development of targeted therapeutic interventions for retinal diseases. …”
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Update of machine learning for ultrasound diagnosis of metabolic dysfunction-associated steatotic liver disease: a bright future for deep learning by Jiawen Li, Jianhui Chen, Xiaohong Zeng, Guorong Lyu, Shu Lin, Shaozheng He

“…It is intended for clinicians, AI researchers, and healthcare innovators, aiming to enhance diagnostic accuracy, expand MASLD screening in primary care, and support early diagnosis, prevention, and treatment.…”
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Unorthodox parallelization for Bayesian quantum state estimation by Hanson H Nguyen, Kody J H Law, Joseph M Lukens

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Progress in the Clinical Application of Artificial Intelligence for Left Ventricle Analysis in Cardiac Magnetic Resonance by Yinghui Le, Chongshang Zhao, Jing An, Jiali Zhou, Dongdong Deng, Yi He

“…Segmentation of myocardial fibrosis is another research hotspot, and most patient cohorts of such studies have hypertrophic cardiomyopathy. …”
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Development and multicenter validation of an AI driven model for quantitative meibomian gland evaluation by Li Li, Kunhong Xiao, Taichen Lai, Kunfeng Lai, Jiawen Lin, Zongyuan Ge, Lingyi Liang, Hao Huang, Xiaoshan Zhang, Li Liu, Yujie Wang, Xianwen Shang, Mingguang He, Ying Xue, Zhuoting Zhu

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Artificial intelligence in the diagnosis and management of dysphagia: a scoping review by Rayane Délcia da Silva, Suzanne Bettega Almeida, Flávio Magno Gonçalves, Bianca Simone Zeigelboim, José Stechman-Neto, Angela Graciela Deliga Schroder, Weslania Viviane Nascimento, Rosane Sampaio Santos, Cristiano Miranda de Araujo

“…Research strategies The protocol was registered on the Open Science Framework platform. …”
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Application of Machine Learning Techniques for Bearing Fault Diagnosis by Sarra Eddai, Nabih Feki, Ahmed Ghorbel, Abdelkhalak El Hami, Mohamed Haddar

“…The methodology employed encompasses a systematic approach, including data preprocessing, feature extraction, and model development. This research employs advanced machine learning techniques, including Support Vector Machine (SVM), K-Nearest Neighbors (KNN), Decision Tree, and Naive Bayes algorithms, in conjunction with time-domain and frequency-domain feature extraction methods. …”
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Aedes mosquito and dengue fever in Iran and worldwide: medical significance, prevention, and control by Reza Hosseiniara, Vahid Mohammadi-Shahrokhi, Sadegh Zarei, Rouhullah Dehghani

“…A comprehensive understanding of clinical manifestations, prognostic indicators, diagnostic algorithms, and laboratory methods is crucial for accurate diagnosis, risk assessment, and effective disease management. …”
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Social Well-being of the Megalopolis Population as an Integral Indicator by P. P. Deriugin, L. A. Lebedintseva, O. V. Yarmak, Shi Yi, E. A. Kamyshina

“…The basic theoretical and methodological approaches to the study of the social well-being of the population of megacities as an integral indicator, as well as current trends in the development of new diagnostic methods are considered. The experience of empirical sociological research is presented, showing methodological algorithms for system fixation and processing of the main indicators-indicators.Methodology and sources. …”
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Protecting kidney function: from mechanisms to therapeutic targets and traditional Chinese medicine by Yilin Meng, Lu Sui, Ligeer Che, Zihang Jin, Yutong Ma, Li Sun

“…Employing cutting-edge technologies, such as single-cell RNA sequencing for cell-type-specific fibrosis markers and utilizing big data to develop innovative algorithms, could enhance early diagnostic capabilities and guide stratification. …”
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Results of clinical developments of early triple negative breast cancer drug treatment: ASCO-2022 by D. A. Andreev, A. A. Zavyalov

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CLIPPERS. Three clinical cases and review by L. N. Prakhova, A. S. Parfyonova, Zh. I. Savintseva, A. G. Ilves, E. V. Bubnova, V. S. Krasnov, A. M. Tarasova, N. A. Totolyan

“…Furthermore, the necessity of further research is shown for improving the accuracy and specificity of the diagnostic criteria, as well as for defining biomarkers and developing algorithms of effective therapy.…”
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Choice of ventricular arrhythmia therapy in coronary artery disease by A. A. Tatarinova, E. A. Ryngach, T. V. Treshkur

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Development and validation of machine learning models to predict unplanned hospitalizations of patients with diabetes within the next 12 months by A. E. Andreychenko, A. D. Ermak, D. V. Gavrilov, R. E. Novitskiy, A. V. Gusev

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