How machine learning is embedded to support clinician decision making: an analysis of FDA-approved medical devices by Enrico Coiera, Farah Magrabi, David Lyell, Jessica Chen, Parina Shah

“…Objective To examine how and to what extent medical devices using machine learning (ML) support clinician decision making.Methods We searched for medical devices that were (1) approved by the US Food and Drug Administration (FDA) up till February 2020; (2) intended for use by clinicians; (3) in clinical tasks or decisions and (4) used ML. …”
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Impact of polygenic risk score (PRS) for coronary artery disease on physician decision-making and patient care by Georgios Ntritsos, Georgios Ntritsos, Erez Ornan, Nir Gamliel, Gil Chernin, Arnold Pallay, Michael Chen, Efi Kessous, Eran Feldhay

“…IntroductionPolygenic risk scores (PRS) have emerged as a promising tool for refining cardiovascular risk prediction, yet their real-world impact on physician decision-making remains unclear. This study aimed to evaluate how the integration of a coronary artery disease (CAD) PRS with traditional clinical risk factors influences physician management strategies.MethodsWe conducted a multicenter, prospective, open-label pilot study across three clinical sites. …”
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Artificial Intelligence Dystocia Algorithm (AIDA) as a Decision Support System in Transverse Fetal Head Position by Antonio Malvasi, Lorenzo E. Malgieri, Tommaso Difonzo, Reuven Achiron, Andrea Tinelli, Giorgio Maria Baldini, Lorenzo Vasciaveo, Renata Beck, Ilenia Mappa, Giuseppe Rizzo

“…Traditional assessment methods rely on digital examination, which can be inaccurate in cases of prolonged labor. …”
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Nurses’ knowledge, attitudes, and decision-making related to sepsis assessment and management in Palestinian intensive care units by Hatem Khallaf, Moath Abu Ejheisheh, Malakeh. Z. Malak, Anas Shehadeh, Ahmad Ayed, Ahmad Batran, Mosaab Farajallah

“…A structured self-reported questionnaire comprising three sections: socio-demographic characteristics, Nurses’ Knowledge and Attitudes Survey, and the Nurses’ Decision-Making Instrument (NDMI) was used to collect the data from April to June 2024. …”
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Integrating building information modeling and bayesian network for enhanced go/no-go decisions in building demolition projects by T.J.W. Adi, Y.P. Devia, N. Andriyani

“…The objectives of the study were to provide a more accurate, reliable, and systematic tool that improves planning, reduces uncertainty, and promotes safety, efficiency, and sustainability in building demolition practices.METHODS: This study integrates Building Information Modeling data with Bayesian Network probabilistic analysis to assess structural, environmental, and managerial factors influencing demolition decisions. …”
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Factors influencing farmer entrepreneurs' decision to return home for sustainable rural development: evidence from China by Yiqiang Feng, Ziao Chen, Shuxian Wang, Yuxin Zhang

“…Understanding the factors influencing their return migration decisions is therefore crucial.MethodsThis study investigates the multidimensional determinants shaping return intentions among farmer entrepreneurs using survey data from 1,573 individuals in Jintang County, China. …”
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Development of a model for detection and analysis of inclusions in tomographic images of iron castings using decision trees by Dorota Wilk-Kołodziejczyk, Aleksandra Nowotny, Izabela Krzak, Adam Tchórz, Krzysztof Jaśkowiec, Marcin Małysza, Adam Bitka, Mirosław Głowacki, Marzanna Książek, Łukasz Marcjan

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A multicentre cross‐sectional observational study of cancer multidisciplinary teams: Analysis of team decision making by Tayana Soukup, Benjamin W. Lamb, Abigail Morbi, Nisha J. Shah, Anish Bali, Viren Asher, Tasha Gandamihardja, Pasquale Giordano, Ara Darzi, James SA Green, Nick Sevdalis

“…Methods This was a cross‐sectional observational study. …”
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Electroencephalography-Based Recognition of Low Mental Resilience Using Multi-Condition Decision-Level Fusion Approach by Rumaisa Abu Hasan, Tong Boon Tang, Muhamad Saiful Bahri Yusoff, Syed Saad Azhar Ali

“…This pilot trial investigates the performance of electroencephalography (EEG) based system to assess mental resilience under different mental conditions.Methods: A total of sixty-eight healthy adults took part in this trial. …”
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Understanding the child feeding decisions among urban parents: a qualitative study in addis ababa, Ethiopia by Bethlehem Shawel Moreda, Magnus Jirström, Yemane Berhane, Alemayehu Worku, Fiker Ferdaweke Mammo, Eva-Charlotte Ekström, Hanna Y. Berhane

“…Abstract Background Food choice decisions are complex processes influenced by various factors that affect the family’s diet and, thus, their health and nutrition. …”
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Prioritizing the Risk of Multiple Invasive Species in the Semiarid Rangelands of Iran: An Ecological Approach to Multicriteria Decision‐Making by Hossein Bashari, Fereshteh Bazgir, Mohammad Reza Vahabi

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Cultural impacts on shared decision-making: A cross-European study of psychiatrist preferences in 38 countries by Yasuhiro Kotera, Christopher Newby, Martina Rojnic Kuzman, Philip Gorwood, Andrea Fiorillo, Mike Slade

“…Methods We analysed data from 751 psychiatrists and trainees in 38 European countries, who completed the Clinical Decision-Making Style–Staff (CDMS-S) scale. …”
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Oxidative Stress Score as a Simplified Surrogate for Prognostic Stratification and Therapeutic Decision-Making in Multiple Myeloma by Qi Liang, Limei Zhang, Qianqian Huang, Weiran Lv, Zhijian Liang, Shutong Liu, Runcong Nie, Zhongjun Xia, Yang Liang, Yun Wang

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Treatment decisions for intermediate-sized brain metastases in or near the motor cortex among the neuro-oncology community by C.A.C. Jessurun, D. Brandsma, A. Compter, P.C. de Witt Hamer, R.J.A. Nabuurs, A. Kloet, M.L.D. Broekman, P.V. ter Wengel

“…The survey comprised 13 questions regarding physician's practices and questions about treatment decisions for BM in or near the motor cortex using statements and three theoretical patient cases. …”
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Performance Evaluation of the Machine Learning Algorithms Used in Inference Mechanism of a Medical Decision Support System by Mert Bal, M. Fatih Amasyali, Hayri Sever, Guven Kose, Ayse Demirhan

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Artificial intelligence-assisted clinical decision support for childhood asthma management: A randomized clinical trial. by Hee Yun Seol, Pragya Shrestha, Joy Fladager Muth, Chung-Il Wi, Sunghwan Sohn, Euijung Ryu, Miguel Park, Kathy Ihrke, Sungrim Moon, Katherine King, Philip Wheeler, Bijan Borah, James Moriarty, Jordan Rosedahl, Hongfang Liu, Deborah B McWilliams, Young J Juhn

“…For the secondary end points, A-GPS intervention, however, significantly reduced time for reviewing EHRs for asthma management of each participant (median: 3.5 min, IQR: 2-5), compared to usual care without A-GPS (median: 11.3 min, IQR: 6.3-15); p<0.001). …”
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Fast Islanding Detection for Distribution System including PV using Multi-Model Decision Tree Algorithm by Rasool Ebrahimi, Ghazanfar Shahgholian, Bahador Fani

“…The final result is based on voting among three decision tree algorithms. First order derivatives of electrical parameters are employed to construct feature vectors. …”
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An Efficient Hybrid Decision-making Model for Sustainable Supplier Selection (Case Study: Parts Supply Industry) by Mahboubeh Afzali

“…The proposed method was performed on tool industry as case study to select the most sustainable alloy supplier which involves three main criteria and twelve sub-criteria. …”
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Why Infusion of Virtue Matters? A Study on Thomas Aquinas’s Virtues in a Person’s Ethical Decision by Irene Ludji

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Maximum Entropy-Minimum Residual Model: An Optimum Solution to Comprehensive Evaluation and Multiple Attribute Decision Making by Qi-Yi Tang, Yu-Xuan Lin

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