Cost-Consequence Analysis of Apixaban Versus Rivaroxaban for Managing Patients with Venous Thromboembolism in Saudi Arabia by Abdulaali R. Almutairi PhD, Yazed Alruthia PhD, Majed S. Alyami PharmD, Omar A. Alshaya PharmD, Taif Z. Alanazi PharmD, Sarah I. Al Daghreer PharmD, Ghazwa B. Korayem PharmD, Sarah A. Alrasheed PharmD, Reema A. Alorf PharmD, Omar A. Almohammed PhD

“…This study's results are impactful for improving patient care and resource allocation, underscoring the pivotal role of cost-effectiveness in healthcare decision-making.…”
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Exploring the potential processes controlling changes in precipitation–runoff relationships in non-stationary environments by T. Lan, T. Lan, T. Lan, T. Lan, T. Lan, T. Li, H. Zhang, H. Zhang, H. Zhang, J. Wu, J. Wu, J. Wu, Y. D. Chen, Y. D. Chen, C.-Y. Xu

“…The study's findings offer a comprehensive understanding of hydrological processes, enabling informed decision-making for the development of sustainable hydrological models.…”
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Evolution of Techniques and New Protocols for Lung Ultrasound Examination in COVID-19 Pneumonia Patients by I. S. Shcheparev, B. A. Teplykh, G. S. Kireeva, D. N. Protsenko, D. V. Kotsyubinsky, O. Yu. Bronov, E. A. Balanyuk

“…Competent triage of patients with COVID-19 pneumonia is not only about efficient allocation of hospital resources, but also about making timely decisions that can ultimately save the patient's life. …”
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Knowledge and associated factors of patients toward informed consent in obstetric and gynecologic surgical procedures at Debre Markos Comprehensive Specialized Hospital, Ethiopia by Addisu Andualem Ferede, Mamaru Getie Fetene, Endinew Beka Mehiretie, Worku Taye Getahun, Aysheshim Asnake Abneh

“…BackgroundInformed consent (IC) is a principle in medical ethics and medical law that a patient must have adequate information and understanding before making decisions about their medical care. It is very essential for both clinician and patient in surgery and should be seen as a usual activity. …”
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CT-based machine learning model integrating intra- and peri-tumoral radiomics features for predicting occult lymph node metastasis in peripheral lung cancer by Xiaoyan Lu, Fan Liu, Jiahui E, Xiaoting Cai, Jingyi Yang, Xueqi Wang, Yuwei Zhang, Bingsheng Sun, Ying Liu

“…Abstract Background Accurate preoperative assessment of occult lymph node metastasis (OLNM) plays a crucial role in informing therapeutic decision-making for lung cancer patients. …”
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Enhancing Performance of Credit Card Model by Utilizing LSTM Networks and XGBoost Algorithms by Kianeh Kandi, Antonio García-Dopico

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A practical and efficient model for benthic habitat parameters retrieval in optically shallow waters from four-band multispectral imagery by Yunhan Ma, Tong Han, Enze Wang, Zhongping Lee, Surendra Prasad, Gandercillar Wainiqolo Vosaki, Wenting Cao, Dongling Li, Juan Wang, Xiulin Lou, Huaguo Zhang

“…Additionally, it outperformed the traditional semi-analytical model, achieving greater accuracy while being over 100 times more computationally efficient. This model offers promising potential for large-scale, high-resolution monitoring of benthic habitats using four-band multispectral data, supporting improved understanding of reef health and informed decision-making.…”
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A Deep Learning Model for Identifying the Risk of Mesenteric Malperfusion in Acute Aortic Dissection Using Initial Diagnostic Data: Algorithm Development and Validation by Zhechuan Jin, Jiale Dong, Chengxiang Li, Yi Jiang, Jian Yang, Lei Xu, Ping Li, Zhun Xie, Yulin Li, Dongjin Wang, Zhili Ji

“…This model may serve as a valuable tool for early risk identification, facilitating timely therapeutic decision-making. Further prospective validation is warranted to confirm its clinical utility. …”
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Explainable clinical diagnosis through unexploited yet optimized fine-tuned ConvNeXt Models for accurate monkeypox disease classification by Muhammad Waqar, Zeshan Aslam Khan, Shanzey Tariq Khawaja, Naveed Ishtiaq Chaudhary, Saadia Khan, Khalid Mehmood Cheema, Muhammad Farhan Khan, Syed Sohail Ahmed, Muhammad Asif Zahoor Raja

“…A number of pre-processing and data augmentation methods have also been assessed and adjusted with regard to computing time and performance. …”
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2025 Korean Thyroid Association Clinical Management Guideline on Active Surveillance for Low-Risk Papillary Thyroid Carcinoma by Eun Kyung Lee, Min Joo Kim, Seung Heon Kang, Bon Seok Koo, Kyungsik Kim, Mijin Kim, Bo Hyun Kim, Ji-hoon Kim, Shinje Moon, Kyorim Back, Young Shin Song, Jong-hyuk Ahn, Hwa Young Ahn, Ho-Ryun Won, Won Sang Yoo, Min Kyoung Lee, Jeongmin Lee, Ji Ye Lee, Kyong Yeun Jung, Chan Kwon Jung, Yoon Young Cho, Dong-Jun Lim, Sun Wook Kim, Young Joo Park, Dong Gyu Na, Jee Soo Kim

“…Patient characteristics, including age, comorbidities, and the capacity for long-term follow-up, should be thoroughly assessed. Shared decision-making should carefully weigh the benefits and risks of surgery versus AS, considering expected oncologic outcomes, potential complications, quality of life, anxiety, medical costs, and patient preference. …”
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Optimization of Cocoa Pods Maturity Classification Using Stacking and Voting with Ensemble Learning Methods in RGB and LAB Spaces by Kacoutchy Jean Ayikpa, Abou Bakary Ballo, Diarra Mamadou, Pierre Gouton

“…Providing an objective and rapid assessment enables farmers to make informed decisions about the optimal time to harvest, helping to maximize the yield of their plantations. …”
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Predictive Value of Viable Myocardium of Papillary Muscle-Ventricular Wall Complex for Improvement in Moderate Ischemic Mitral Regurgitation by Zhiepng Wei, MD, Enjun Zhu, MD, Zhiyong Shi, MD, Tong Tan, MD, Ke Zhang, MD, Zhihui Zhu, MD, Shengwei Wang, MD, Xiaoli Zhang, MD, Yongqiang Lai, MD

“…The VM-PM-VWC was an independent predictor of IMR improvement, which could help surgical decision making. Clinical Trial Registration: ChiCTR2100042454. …”
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The age-adjusted Charlson comorbidity index in acetabular fracture in geriatric acetabular fractures by J.M. Bogallo, C. Castillejo, A. Ramirez, J.R. Cano, F. Rivas-Ruiz, E. Guerado

“…Conclusion: Presurgical ACCI and CFS scales may serve as a risk assessment method in treatment decision-making for patients with acetabular fracture. …”
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Abstract 015: Pioneering NaF‐PET/CT Imaging for Early Detection of Atherosclerosis: Potential Implications for Neurointerventional Surgery by Eric M Teichner, Robert C Subtirelu, Arjun B Ashok, Yvonne Su, Victoria A Anderson, Milo Writer, Omar Al‐Daoud, Miraziz Ismoilov, Chitra Parikh, William Y Raynor, Sahithi Talasila, Poul F Høilund‐Carlsen, Abass Alavi, Mona‐Elisabeth Revheim

“…Early recognition of these alterations facilitates clinical decision‐making, including determining the necessity and timing of surgical intervention. …”
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Prognostic Implications of Initial Radiological Findings of Pulmonary Fibrosis in Patients with Acute SARS-CoV-2 Infection: A Prospective Multicentric Study by Roxana-Elena Cîrjaliu, Sri Vidhya Gurrala, Balaji Nallapati, Vamsi Krishna, Cristian Oancea, Emanuela Tudorache, Monica Marc, Felix Bratosin, Iulia Bogdan, Ovidiu Rosca, Paula Irina Barata, Laurentiu Tony Hangan, Sergiu Ioachim Chirilă, Ariadna-Petronela Fildan

“…These compound scores facilitate the early identification of high-risk patients, guiding clinical decision-making and optimizing patient management to improve outcomes.…”
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Variation in Mesopic Retinal Sensitivity Relative to Distance from Geographic Atrophy in Age-Related Macular Degeneration by Souvick Mukherjee, PhD, Emily Vance, MPH, Leon von der Emde, MD, Thilaka Arunachalam, BS, Tharindu De Silva, PhD, Alisa T. Thavikulwat, MD, Christine Orndahl, PhD, Caroline Nyaiburi, MS, Maria Abraham, ScM, Keri Hammel, MS, SriniVas R. Sadda, MD, Emily Y. Chew, MD, Maximilian Pfau, MD, PhD, Wai T. Wong, MD, PhD, Brett G. Jeffrey, PhD, Tiarnán D.L. Keenan, BM BCh, PhD

“…Overall, the degree and extent of decreased visual function beyond GA borders have important implications for the design of clinical trials, decision-making in clinical practice, and insights into AMD pathophysiology. …”
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Water quality index modelling and its application on artificial intelligence (AI) in conjunction with machine learning (ML) methodologies for mapping surface water potential zones... by Abhijeet Das

“…., World Health Organization guidelines is implanted to decipher the values ranging from natural to anthropogenic contribution.In the Mahanadi River Basin, Odisha, however, this study has highlighted the evaluation of surface water quality (WQ) for drinking reasons by the combined use of Machine Learning (ML) methodologies like Genetic Algorithm Particle Swarm Optimization-based WQI (GAPSO-WQI), with dependability-oriented decision-making approaches such as Firefly Algorithm (FA) and Algorithm of Weeds (AW), that have been used for river water quality monitoring and assessment due to their dependability and feasibility. …”
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Self‐Report Tool for Identification of Individuals With Coronary Atherosclerosis: The Swedish CardioPulmonary BioImage Study by Göran Bergström, Eva Hagberg, Elias Björnson, Martin Adiels, Carl Bonander, Ulf Strömberg, Jonas Andersson, Mattias Brunström, Carl‐Johan Carlhäll, Gunnar Engström, David Erlinge, Isabel Goncalves, Anders Gummesson, Emil Hagström, Ola Hjelmgren, Stefan James, Magnus Janzon, Lena Jonasson, Lars Lind, Martin Magnusson, Viktor Oskarsson, Johan Sundström, Per Svensson, Stefan Söderberg, Raquel Themudo, Carl Johan Östgren, Tomas Jernberg

“…The tools showed a larger net benefit in clinical decision‐making at relevant threshold probabilities. …”
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[Artículo traducido] El índice de comorbilidad de Charlson ajustado por la edad en las fracturas acetabulares de los pacientes ancianos by J.M. Bogallo, C. Castillejo, A. Ramirez, J.R. Cano, F. Rivas-Ruiz, E. Guerado

“…Conclusion: Presurgical ACCI and CFS scales may serve as a risk assessment method in treatment decision-making for patients with acetabular fracture. …”
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Consideration of heterogeneity in the fragmentation of carbonate reservoir deposits in the modeling of acid treatments by Mukhametshin Vyacheslav Sh., Gilyazetdinov Ruslan, Khamzin Rinat

“…The criteria for their application are determined based on the influence of thickness properties, which will make it possible to make effective management decisions. …”
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