Prospects of phytopreparations based on Calendula officinalis in complex treatment of chemical burn of the esophagus by M. L. Voskresenskaya, A. N. Plekhanov, B. D. Dorzhiev, S. V. Tsyrempilov

“…Because of commonly accepted algorithms of rendering of medical aid in case of chemical burns of the esophagus in the prehospital and hospital stages (washing of the esophagus and the stomach, adequate anesthesia, corticosteroid, antibiotic therapy, the group of antacids and symptomatic treatment), the choice of drug and method of local impact on the surface of chemical burn of the esophagus remain an urgent problem. …”
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Data source and utilization of artificial intelligence technologies in vascular surgery—a scoping review by Katarzyna Powezka, Katarzyna Powezka, Katarzyna Powezka, Karin Slater, David Brind, Michael Wall, Michael Wall, Georgios Gkoutos, Maciej Juszczak, Maciej Juszczak

“…Image-based data were utilised in 216 articles, while 153 and 85 papers relied on medical records, and clinical parameters. The AI algorithms were used for predictive modelling (123 papers), medical image segmentation (118), and to aid identification, detection, and diagnosis (103).DiscussionApplications of Artificial Intelligence (AI) are gaining traction in healthcare, including vascular surgery. …”
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Developing a Predictive Model for Stroke Disease Detection Using a Scalable Machine Learning Approach by Assefa Senbato Genale, Tsion Ayalew Dessalegn

“…The findings of this study can be utilized by physicians as clinical decision aids to aid in the more accurate identification of stroke disease.…”
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Computed tomography enterography radiomics and machine learning for identification of Crohn’s disease by Qiao Shi, Yajing Hao, Huixian Liu, Xiaoling Liu, Weiqiang Yan, Jun Mao, Bihong T. Chen

“…Recent studies have explored the application of radiomics-based machine learning algorithms to aid in the diagnosis of medical images. …”
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Classification of mammograms: Comparing a graphical to a geometrical approach by Anirban Ghosh, Priya Ranjan, Kumar Dron Shrivastav, Rajiv Janardhanan

“…In this scenario, the large-scale deployment of computer-aided diagnosis using well-trained algorithms could significantly reduce the morbidity and mortality associated with this carcinoma. …”
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Application of Machine Learning for Target Selection and Acid Treatment Design by I. I. Mannanov, M. A. Varfolomeev, G. R. Ganieva, A. R. Gimaeva, R. R. Giniyatullin

“…These algorithms significantly simplify the tasks of acid treatment design.…”
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Machine learning in predicting firm performance: a systematic review by Yaseen Hezam, Hoa Luong, Lilian Anthonysamy

“…It aims to assess the effectiveness of various ML methods and algorithms used in recent research, focusing on the prediction of firm performance across multiple dimensions. …”
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Predictive modelling of air pollution affecting human tuberculosis risk on Mainland China by Boli Qin, Rongqing He, Xiaopeng Qin, Jiayan Jiang, Chenxing Zhou, Songze Wu, Jichong Zhu, Shaofeng Wu, Jiarui Chen, Jiang Xue, Kechang He, Chong Liu, Jie Ma, Xinli Zhan

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Prediction of Thermal and Optical Properties of Oxyfluoride Glasses Based on Interpretable Machine Learning by Yuhao Xie, Xiangfu Wang

“…Based on the components of glasses, four algorithms, namely K-Nearest Neighbor, Random Forest, Support Vector Machine, and eXtreme Gradient Boosting, were used to construct an optimal machine learning model to predict the thermal and optical properties of oxyfluoride glass, namely glass transition temperature, density, Abbe number, liquidus temperature, thermal expansion coefficient, and refractive index. …”
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A Crime Data Analysis of Prediction Based on Classification Approaches by Fatima Shaker Hussain, Abbas Fadhil Aljuboori

“…The aim is focused on comparative study between three supervised learning algorithms. Where learning used data sets to train and test it to get desired results on them. …”
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Automated Synthesis of Fault-Tolerant State Preparation Circuits for Quantum Error-Correction Codes by Tom Peham, Ludwig Schmid, Lucas Berent, Markus Müller, Robert Wille

“…A central ingredient in fault-tolerant quantum algorithms is the initialization of a logical state for a given quantum error-correcting code from a set of noisy qubits. …”
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A survey: Breast Cancer Classification by Using Machine Learning Techniques by Ruaa Hassan Mohammed Ameen, Nasseer Moyasser Basheer, Ahmed Khazal Younis

“…Using automated feature extraction and classification algorithms, physicians' experience in diagnosing and detecting breast cancer can be aided. …”
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Concept for Parameter Design and Optimization of Surface Acoustic Wave Devices by A. S. Koigerov, A. V. Korlyakov

“…Development of a methodological approach to creation of a technology of computer-aided design of SAW filters using optimization algorithms.Materials and methods. …”
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Les réseaux sociaux ou relais médiatiques de la poétique du discours nouchi by Cheick Ibrahim CISSÉ

“…Dans cette optique, nombreux sont les abonnés à ces plateformes d’internet, glanés à l’aide d’algorithmes, qui mettent en relief les valeurs littéraires, sémantiques et poétiques du nouchi, dont la particularité du substantif, précisément. …”
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Development and validation of a predictive model for new HIV infection screening among persons 15 years and above in primary healthcare settings in Kenya: a study protocol by Simon Karanja, Amos Otieno Olwendo, Gideon Kikuvi

“…Inferential analysis will be conducted using algorithms that perform best in disease prediction: Extreme Gradient Boosting (XGBoost) and Multilayer Perceptron. …”
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Attention mechanism and mixup data augmentation for classification of COVID-19 Computed Tomography images by Özgür Özdemir, Elena Battini Sönmez

“…Latest achievements of deep learning algorithms suggest the use of deep Convolutional Neural Network to implement a computer-aided diagnostic system for automatic classification of COVID-19 CT images. …”
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Designing Predictive Tools for Personalized Functionalities in Knitted Performance Wear by Martijn ten Bhömer, Hai-Ning Liang, Difeng Yu, Yuanjin Liu, Yifan Zhang, Eva de Laat, Carola Leegwater

“…These questions are investigated through the analysis of a Research Through Design case study, in which several predictive algorithms were compared and implemented in a user interface that would aid knitwear designers during the development process of high-performance running tights. …”
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A transformer based generative chemical language AI model for structural elucidation of organic compounds by Xiaofeng Tan

“…Abstract For over half a century, computer-aided structural elucidation systems (CASE) for organic compounds have relied on complex expert systems with explicitly programmed algorithms. …”
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FROM SEEING TO BELIEVING: A 43-YEAR LONG JOURNEY IN IMMUNOSTAINING

“…The application of MILAN and the complexity of data obtained (~100 markers, millions of single cells) landed us in the rarefied world of dimensionality reduction algorithms, where math rules and statistical significance replaces “representative images”. …”
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The Role of Artificial Intelligence in Personalized Medicine: A Computer Science Perspective by Raul Mihai RADULESCU

“…Also, the paper points to some other significant issues related to privacy such as the integration of databases, the lack of algorithms’ transparency and ethics, and barriers at the level of regulation, while, at the same time, emphasizing the need for real-time AI powered personalization and contactless advanced AI techniques. …”
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