Enhancing Orthopedic Surgery and Treatment Using Artificial Intelligence and Its Application in Health and Dietary Welfare by D. Rubidha Devi, S. K. UmaMaheswaran, Sandhya Tarar, Abu Sarwar Zamani, Durgaprasad Gangodkar, A. Prabhu Chakkaravarthy, IssahAbubakari Samori

“…The current decade has seen an increased usage of high-end digital technologies like machine learning in the field of health care services which enable in supporting and performing different functions with less or no human interventions. …”
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Balancing co-benefits and trade-offs between climate change mitigation and adaptation innovations under mixed crop-livestock systems in semi-arid Zimbabwe by Sabine Homann-Kee Tui, Roberto O. Valdivia, Katrien Descheemaeker, Gevious Sisito, Elisha N. Moyo, Farai Mapanda

“…They include market-oriented adaptation and mitigation interventions and social protection mechanisms that would support the transition towards more sustainable intensified, diversified and better integrated crop-livestock systems. …”
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Alcohol, alcoholism and related consequences by M. V. Mayevskaya

“…Nalmefene, blocking these receptors, reduces supporting effect of alcohol which ceases to deliver expected pleasure.Conclusion. …”
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Real-time geo-decisional system for risk and disaster management in Madagascar by Rakotoarison Tsiorinantenaina René, Hajalalaina Aimé Richard

“…In terms of prevention, Madagascar already has an early warning system to inform the population, but during a crisis, it still lacks a decision support system for rapid, real-time intervention to minimize damage. …”
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Informing climate-health adaptation options through mapping the needs and potential for integrated climate-driven early warning forecasting systems in South Asia-A scoping review. by Festus A Asaaga, Emmanuel S Tomude, Nathan J Rickards, Richard Hassall, Sunita Sarkar, Bethan V Purse

“…<h4>Results</h4>We found very few robust, evidenced-based forecasting systems for climate- and water- sensitive infectious diseases, which suggests limited operationalisation of decision-support tools that could inform actions to reduce disease burdens in the region. …”
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Carbonic Anhydrase IX Targeted Polyaspartamide fluorescent Probes for Tumor imaging by Zhang Y, Liu F, Shao C, Huang J, Yan G

“…This study has the potential to enhance tumor diagnosis and image-guided surgical interventions by providing real-time information and robust decision support, thereby reducing recurrence and complication rates and ultimately improving patient outcomes.Keywords: fluorescent imaging, polyaspartamide, sulfadiazine, naphthalimide, fluorescent probes…”
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A nomogram for predicting neonatal acute respiratory distress syndrome in patients with neonatal pneumonia after 34 weeks of gestation by Aosong Yu, Huanhuan Hou, Huanhuan Hou, Lingyi Ran, Xiaojia Sun, Wanchun Xin, Tong Feng

“…Early application of this model has a better predictive effect on the early diagnosis of NARDS, thus facilitating more timely and effective interventions.…”
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Unplanned Student Pregnancy: Should the University Be There for Its Students? by E. Yu. Samuticheva

“…On the basis of the received answers the author suggests changing the policy of the universities by increasing their role in discouraging students from the termination decision and provide recommendations for the creation of the anti-crisis team, offering the support to the students in difficult life situations including cases of the unplanned pregnancy. …”
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Real-Time Deployment of Ultrasound Image Interpretation AI Models for Emergency Medicine Triage Using a Swine Model by Sofia I. Hernandez Torres, Lawrence Holland, Theodore Winter, Ryan Ortiz, Krysta-Lynn Amezcua, Austin Ruiz, Catherine R. Thorpe, Eric J. Snider

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Posterior Positivity Distribution Analysis of Subclinical Bluetongue in the Eastern and North-Eastern States of India: A Wakeup Call for Outbreak Preparedness by Siddhartha Narayan Joardar, Aritra Sanyal, Ahmed Abd El Wahed, Saibal Ray

“…The MCMC method was applied for the first time in a BTV seroprevalence analysis that enhanced our understanding of infection dynamics, guided targeted interventions and supported better decision-making in bluetongue disease control, prevention and disease preparedness. …”
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A cluster randomized trial assessing the effect of a digital health algorithm on quality of care in Tanzania (DYNAMIC study). by Rainer Tan, Godfrey Kavishe, Alexandra V Kulinkina, Sabine Renggli, Lameck B Luwanda, Chacha Mangu, Geofrey Ashery, Margaret Jorram, Ibrahim Evans Mtebene, Peter Agrea, Humphrey Mhagama, Kristina Keitel, Marie-Annick Le Pogam, Nyanda Ntinginya, Honorati Masanja, Valérie D'Acremont

“…Digital clinical decision support tools have contributed to improved quality of care at primary care level health facilities. …”
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Good-Quality mHealth Apps for Endometriosis Care: Systematic Search by Diksha Sirohi, Cecilia HM Ng, Niranjan Bidargaddi, Helen Slater, Melissa Parker, M Louise Hull, Rebecca O'Hara

“…In addition, clinicians use mHealth apps for continued medical education and clinical decision-making and recommend good-quality apps to patients. …”
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Identification of multiple complications as independent risk factors associated with 1-, 3-, and 5-year mortality in hepatitis B-associated cirrhosis patients by Duo Shen, Ling Sha, Ling Yang, Xuefeng Gu

“…Eight machine learning techniques were employed to construct predictive models, including C5.0, linear discriminant analysis (LDA), least absolute shrinkage and selection operator (LASSO), k-nearest neighbour (KNN), gradient boosting decision tree (GBDT), support vector machine (SVM), generalised linear model (GLM) and naive Bayes (NB), utilising variables such as medical history, demographics, clinical signs, and laboratory test results. …”
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Protocol paper: randomized controlled trial of the smart online-to-offline model development for chronic diseases management through digital health in real world setting by Jae Eun Shin, Juho Choi, Heejung Lee, Suk-Won Lee, Juhwan Oh

“…Participants are randomized into treatment and control arms for each group. The intervention includes personalized digital healthcare support, continuous data monitoring, and online education, with primary care provided by healthcare professionals. …”
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The Role of Clinician-Developed Applications in Promoting Adherence to Evidence-Based Guidelines: Pilot Study by Madhu Prita Prakash, Aravinda Thiagalingam

“… Abstract BackgroundComputerized clinical decision support systems (CDSS) are increasingly being used in clinical practice to improve health care delivery. …”
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Unveiling shadows: A data-driven insight on depression among Bangladeshi university students by Sanjib Kumar Sen, Md. Shifatul Ahsan Apurba, Anika Priodorshinee Mrittika, Md. Tawhid Anwar, A.B.M. Alim Al Islam, Jannatun Noor

“…Seven machine learning models, including Support Virtual Machine (SVM), K-Nearest Neighbor (K-NN), Gaussian Naive Bayes (GNB), Decision Tree (DT), Random Forest Classifier (RFC), Artificial Neural Network (ANN), and Gradient Boosting (GB), were trained and tested using the collected data (n = 750) to identify the most effective method for predicting depression. …”
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Conceptual and empirical item hierarchies of person-centred outpatient care by Fredrik Gasser, Albert Westergren, Sidona-Valentina Bala, Joakim Ekstrand, Peter Hagell

“…Conclusion: The observed correspondence between empirical data and the conceptual framework indicates that the PCCoc reflects the underlying framework, and therefore can be a valuable instrument to support targeted PCC-promoting interventions.…”
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‘They went for the test together but came back separately’: a constructivist grounded theory perspective on male engagement in antenatal HIV testing in Bamenda, Cameroon by Lily Haritu Foglabenchi, Nancy Manigha Nyahkeh, Heidi Stöckl, Tanya Marchant

“…Given that these perceptions are moderated by spousal communication and the engagement of male partners by health facility staff, we call for gender-transformative interventions and policies that offer education on prenatal HIV risk, support couple communication and spousal disclosure.…”
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From paternalism to self-determination: examining evolving tribal-federal relationships and co-management arrangements through three case studies by Clarita Lefthand-Begay, Lauren Redmore, Christopher Armatas, Jesse Brisbois, Kunsang Choden, Dara Craig, Angelo Baca, Jaime Martin, Michael Ross, Regina Lopez-Whiteskunk, Alfred Lomahquahu, Monte Mills

“…We use a multiple case study approach, examining three case studies from the Western U.S. that illustrate challenges facing Tribes and interventions used to improve land management relationships. …”
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Predicting pediatric patient rehabilitation outcomes after spinal deformity surgery with artificial intelligence by Wenqi Shi, Felipe O. Giuste, Yuanda Zhu, Ben J. Tamo, Micky C. Nnamdi, Andrew Hornback, Ashley M. Carpenter, Coleman Hilton, Henry J. Iwinski, J. Michael Wattenbarger, May D. Wang

“…Conclusions Based on the relationship analysis, we suggest additional attention to sagittal parameters (e.g., lordosis, sagittal vertical axis) and patient self-image beyond major Cobb angles to improve surgical decision-making for AIS patients. In the age of personalized medicine, the proposed responsible AI-enabled clinical decision-support system may facilitate pre-operative counseling and shared decision-making within real-world clinical settings.…”
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