Radiomics model based on computed tomography images for prediction of radiation-induced optic neuropathy following radiotherapy of brain and head and neck tumors by Elham Raiesi Nafchi, Pedram Fadavi, Sepideh Amiri, Susan Cheraghi, Maryam Garousi, Mansoureh Nabavi, Iman Daneshi, Marzieh Gomar, Malihe Molaie, Ali Nouraeinejad

“…Decision Tree and Random Forest with the highest AUC (97 % and 95 % respectively) among the five classifiers were the most powerful algorithms to predict radiation-induced optic neuropathy. …”
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Clinical, genetic, and sociodemographic predictors of symptom severity after internet-delivered cognitive behavioural therapy for depression and anxiety by Olly Kravchenko, Julia Bäckman, David Mataix-Cols, James J. Crowley, Matthew Halvorsen, Patrick F. Sullivan, John Wallert, Christian Rück

“…Employing machine learning algorithms capable of capturing complex non-linear associations and interactions is a viable next step to improve prediction of post-ICBT symptom severity. …”
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Preoxygenation in difficult airway management: high-flow oxygenation by nasal cannula versus face mask (the PREOPTIDAM study). Protocol for a single-centre randomised study by Samir Jaber, Karim Asehnoune, Fanny Feuillet, Mickael Vourc’h, Donatien Huard, Gabrielle Baud, Arthur Guichoux, Marielle Surbled, Melanie Tissot, Anne Chiffoleau, Christophe Guitton

“…Introduction Although preoxygenation and airway management respond to precise algorithms, difficult intubation (DI) remains a daily challenge in intensive care units and in the operating rooms because of its frequent complications, including hypoxaemia. …”
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Adverse events in the nervous system associated with blinatumomab: a real-world study by Wen Gao, Jingwei Yu, Yifei Sun, Zheng Song, Xia Liu, Xue Han, Lanfan Li, Lihua Qiu, Shiyong Zhou, Zhengzi Qian, Xianhuo Wang, Huilai Zhang

“…The reporting odds ratio (ROR), proportional reporting ratio (PRR), Bayesian confidence interval progressive neural network (BCPNN), and multi-item gamma Poisson shrinker (MGPS) algorithms were utilized for data mining. Results A total of 5,962 blinatumomab-related cases were analyzed. …”
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Early Recognition of Secondary Asthma Caused by Lower Respiratory Tract Infection in Children Based on Multi-Omics Signature: A Retrospective Cohort Study by Rao Z, Zhang S, Xu W, Huang P, Xiao X, Hu X

“…Zhihui Rao, Shuqin Zhang, Wenlin Xu, Pan Huang, Xiaofei Xiao, Xiuxiu Hu Department of Pediatric Comprehensive Internal Medicine, Jiangxi Maternal and Child Health Hospital, Nanchang, 330008, People’s Republic of ChinaCorrespondence: Zhihui Rao, Email 13870462660@163.comObjective: To explore the types of pathogens causing lower respiratory tract infections (LTRIs) in children and construction of a predictive model for monitoring secondary asthma caused by LTRIs.Methods: Seven hundred and seventy-five children with LTRIs treated from June 2017 to July 2024 were selected as research subjects. …”
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Machine learning model for diagnosing salivary gland adenoid cystic carcinoma based on clinical and ultrasound features by Huan-Zhong Su, Zhi-Yong Li, Long-Cheng Hong, Yu-Hui Wu, Feng Zhang, Zuo-Bing Zhang, Xiao-Dong Zhang

“…Methods A total of 365 patients with ACC or non-ACC of the salivary glands treated at two centers were enrolled in training cohort, internal and external validation cohorts. …”
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Development and Testing a New Online Dynamic Nomogram for Contrast-Induced Acute Kidney Injury in Elderly Patients with ST-Segment Elevation Myocardial Infarction by Jin J, Ding J, Zhang X, Wang L, Zhang X, Li W, Li S

“…Lasso regression selected predictors, and nine Machine Learning (ML) algorithms were evaluated via Receiver Operating Characteristic (ROC) analysis. …”
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Artificial Intelligence for Multiclass Rhythm Analysis for Out-of-Hospital Cardiac Arrest During Mechanical Cardiopulmonary Resuscitation by Iraia Isasi, Xabier Jaureguibeitia, Erik Alonso, Andoni Elola, Elisabete Aramendi, Lars Wik

“…Load distributing band (LDB) mechanical chest compression (CC) devices are used to treat out-of-hospital cardiac arrest (OHCA) patients. …”
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Enhancing stroke prediction models: A mixing of data augmentation and transfer learning for small-scale dataset in machine learning by Imam Tahyudin, Ade Nurhopipah, Ades Tikaningsih, Puji Lestari, Yaya Suryana, Edi Winarko, Eko Winarto, Nazwan Haza, Hidetaka Nambo

“…The classification models employed in this study were four algorithms: Random Forest, Support Vector Machine, Gradient Boosting, and Extreme Gradient Boosting. …”
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Deciphering the role of miR-71 in Echinococcus multilocularis early development in vitro. by Matías Gastón Pérez, Markus Spiliotis, Natalia Rego, Natalia Macchiaroli, Laura Kamenetzky, Nancy Holroyd, Marcela Alejandra Cucher, Klaus Brehm, Mara Cecilia Rosenzvit

“…Using genomic information and bioinformatic algorithms for miRNA binding prediction, we found a high number of potential miR-71 targets in E. multilocularis. …”
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What has changed in the attitude of health workers towards vaccination after the pandemic COVID-19 by S. M. Kharit, L. V. Romanov, Yu. E. Konstantinova, S. A. Bogdan

“…Out of 1045 respondents, 832 treat vaccinations positively (79,6%), 142 (13,6%) – neutrally, cautiously – 60 (5.7%) and negatively – 12 (1.1%), 25.1% of respondents (264 out of 1051) believe that it is better to get over some infections than to be vaccinated. …”
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THE RESULTS OF MYOCARDIAL REVASCULARIZATION IN NON-ST-ELEVATION ACUTE CORONARY SYNDROME PATIENTS AND MULTIVESSEL DISEASE by R. S. Tarasov, Yu. N. Neverova, V. I. Ganyukov, S. V. Ivanov, O. A. Nagirnyak, O. L. Barbarash, L. S. Barbarash

“…The development needed, of algorithms of optimal strategy of revascularization in NSTEACS, with MD, based upon objective criteria, and meaning the higher rate of CBG approach fulfilling the most complete revascularization.…”
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Monitoring the antibiotic resistance in the intensive care unit of a multidisciplinary hospital by V. Yu. Zemko, V. K. Okulich, A. M. Dzyadz’ko

“…It is necessary to monitor the resistance of common microorganisms to certain antibiotics in order to develop algorithms for rational antibacterial treatment in each hospital.…”
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Comparison of dose calculation approaches and clinical dose–response in image-guided head&neck brachytherapy of the oral cavity by Sabrina Schaller, Vratislav Strnad, Claudia Schweizer, Dorota Lubgan, Ricarda Merten, Rainer Fietkau, Christoph Bert, Andre Karius

“…Purpose: Model-based dose calculation algorithms (MBDCAs) are increasingly applied in brachytherapy, but their considerations in dose–response analyses is still lacking. …”
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Pre-treatment tumour PET metrics and clinical outcomes of anal cancer in patients living with and without HIV by Michael Pennock, N. Patrik Brodin, Christian Velten, Megi Gjini, Nitin Ohri, Chandan Guha, Shalom Kalnicki, Wolfgang A. Tome, Madhur K. Garg, Rafi Kabarriti

“…Materials and methods: Consecutive patients treated with definitive radiation therapy (RT) for non-metastatic ASCC from 2005 to 2021 at one institution were retrospectively identified. …”
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Management and outcome of whole-spine epidural abscesses – institutional case series and systematic review by Erik Schulz, Linda Bättig, Felix C. Stengel, Lorenzo Bertulli, Nader Hejrati, Maximilian Wegener, Carol Strahm, Benjamin Martens, Martin N. Stienen, Stefan Motov

“…Larger multicenter studies are needed to establish reliable treatment algorithms.…”
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AI-powered advances in type II endometrial cancer: global trends and African contexts by Thulo Molefi, Thulo Molefi, Thulo Molefi, Lloyd Mabonga, Rodney Hull, Motshedisi Sebitloane, Zodwa Dlamini

“…Despite these characteristics, they are still treated similarly to type I ECs, which are less aggressive and more treatment-responsive. …”
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The effect of materials and methods of the sella turcica bottom plastic surgery after transsphenoidal pituitary adenoma surgery on the incidence of nasal liquorrhea by V. Yu. Cherebillo, Yu. I. Ryumina, A. V. Dubinina

“…Thus, over the past five years, we can note a significant decrease in the frequency of postoperative nasal liquorrhea after transsphenoidal surgery of pituitary adenomas, the emergence of many options and algorithms for closing the postoperative defect of the base of the skull to prevent and treat it. …”
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The real-world analysis of adverse events with azacitidine: a pharmacovigilance study based on the FAERS and WHO-VigiAccess databases by Zhaorui Wang, Linlin Guo, Youfu He, Baiquan Zhang, Yang Wang, Juan Ding

“…BackgroundAzacitidine is used to treat myelodysplastic syndrome (MDS) and acute myeloid leukemia (AML). …”
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Clinical efficacy of DSA-based features in predicting outcomes of acupuncture intervention on upper limb dysfunction following ischemic stroke by Yuqi Tang, Sixian Hu, Yipeng Xu, Linjia Wang, Yu Fang, Pei Yu, Yaning Liu, Jiangwei Shi, Junwen Guan, Ling Zhao

“…We applied three deep-learning algorithms (YOLOX, FasterRCNN, and TOOD) to develop the object detection model. …”
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