Planning for gold: identifying opportunities for public transport interventions through machine learning and appraisal automation by David Arquati, Liam McGrath

“…Current transport planning approaches to addressing connectivity problems rely on trial-and-error approaches to identify problems and generate options, limited by planners' incomplete knowledge and the overwhelming volume of available travel data.We introduce a machine-assisted approach to identify opportunities for connectivity enhancements from origin-destination data and generate prioritised intervention options. …”
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Practical In situ Calibration for Dose-area Product Meter in Interventional Fluoroscopy: Beam-area Method by Fara Farisa Dhaifina, Raushan Fikr Ilham Ibrahim, Hanendya Disha Randy Raharja, Lukmanda Evan Lubis

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A vitamin intervention study on the tumour and immune cells via TIV dynamical system-revisited by Khushbu Agrawal, Sunil Kumar, Badr Saad T. Alkahtani, Sara Salem Alzaid

“…Three elements make up this partial sequence TIV system: vitamin intervention, immune cells, and tumour cells. Boundedness and non-negativity, residual error and convergence analysis of solutions have been determined using the iterative approach and BWCM. …”
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Mobile Health Interventions for Modifying Indigenous Maternal and Child–Health Related Behaviors: Systematic Review by Sana Ishaque, Ola Ela, Anna Dowling, Chris Rissel, Karla Canuto, Kerry Hall, Niranjan Bidargaddi, Annette Briley, Claire T Roberts, Billie Bonevski

“…ConclusionsDue to the lack of sample size calculation, it was not possible to establish whether differences in the effectiveness were due to the interventions or a type I statistical error. Therefore, caution is required in the interpretation of these findings. …”
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Systematic Risk Analysis and Mitigation Strategies for Near-Miss Events in Interventional Operating Room Nursing by Ma LY, Shan RF, Lu Y, Cong LY, Gu HY

“…These events were categorized into 6 main types: medication errors (60.49%), issues with consumables (16.05%), tubing-related incidents (8.64%), specimen handling errors (7.4%), transfer handover issues (4.93%), and patient transport problems (2.46%). …”
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Effect of a visual tracking intervention on attention and behavior of attention deficit hyper activity children by Shiva Janmohammadi, Hojjat Allah Haghgoo, Mojgan Farahbod, Paul G. Overton, Ebrahim Pishyareh

“…Therefore, the effects of eye-tracking intervention were investigated on attention in these children. …”
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A systematic review and meta-analysis on pharmacist-led interventions for the management of peptic ulcer disease. by Biswash Sapkota, Bipindra Pandey, Bishal Sapkota, Keshav Dhakal, Bijay Aryal

“…Pharmacists are essential for developing pharmacotherapy plans, conducting clinical assessments, and overseeing drug monitoring. Their interventions help prevent medication errors and adverse drug events and enhance medication safety. …”
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Systematic review of artificial intelligence enabled psychological interventions for depression and anxiety: A comprehensive analysis by Amey C. Joshi, Ajinkya S. Ghogare, Priya B. Madavi

“…Despite advancements in mental health care, barriers such as cost, geographical limits, and social stigma may prevent individuals from receiving early psychological interventions. In recent years, artificial intelligence (AI) has emerged as a prominent tool to address these issues by facilitating early detection, personalized treatment, and intervention delivery for individuals experiencing depression and anxiety. …”
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Interventions to improve the use of EMRs in primary health care: a systematic review and meta-analysis by Noura Hamade, Amanda Terry, Monali Malvankar-Mehta

“…This includes: 1) the complete and safe documentation of patient information; 2) improved coordination of care; 3) reduced errors and 4) more involved patients. The use of EMRs is defined by practitioners using EMRs and their features to perform daily practice functions.Objective The purpose of this systematic review was to identify interventions aimed at improving EMR use in primary healthcare settings.Methods Ten online databases were searched to identify studies conducted in primary healthcare settings aimed at implementing interventions to observe the use of EMRs and directly measure the use of EMR functions or outcomes effected by the use of EMR functions.Results Of 2098 identified studies, 12 were included in the review. …”
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Development and validation of the S-TIMHSS: a quality metric to inform and evaluate interventions to (re)build trust by Samantha B. Meyer, Jerrica Little, Paul R. Ward, Patrick Brown, Michael Calnan

“…As such, measures of trust that can be used to develop and evaluate interventions to (re)build trust are highly valuable. …”
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In defense of undeservedly accused and offended medical doctors: “Medical Doctor’s Rights”, а 3^rd edition review by A. S. Shkoda, D. V. Blinov, A. D. Makatsariya

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Dynamics of Myopia Progression in Ghana—Evidence From Clinical Practice: A Retrospective Cohort Study by Samuel Kyei, Godwin Avornyo, Randy Asiamah, Samuel B. Boadi‐Kusi, Michael Agyemang Kwarteng

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The Effects of Pilates in Parkinson’s Disease—A Narrative Review by Józef Alfons Opara, Jarosław Wojciech Szczygieł, Krzysztof Mehlich, Katarzyna Szczygieł

“…Most of the reports show many shortcomings: too small groups of patients; frequent methodological errors, such as a lack of randomization and insufficient inclusion and exclusion criteria; imprecise descriptions of the interventions; different intensities and frequencies of exercises; too different outcome measures; and poorly chosen methods of statistical evaluation. …”
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AI4Food Project: Application of Personalised Nutrition Integrating Artificial Intelligence in Nutritional Interventions Focused on Weight Loss by Isabel Espinosa-Salinas, Gala Freixer, Sergio Romero-Tapiador, Blanca Lacruz Pleguezuelos, Ruben Tolosana, Javier Ortega-Garcia, Enrique Carrillo-De Santa Pau

“…In addition, nutritional therapy and research continue to face issues such as measurement errors, memory biases, and others. The objective of this work is to present the AI4Food project. …”
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The application of quality control circle in improving the accuracy of ICD coding on medical records by Wenjing Ou, Peiyan Chang, Jinghua Zhou, Zhiqiang Zhou, Mingfang Jiang, Chao Wu

“…Both tangible outcomes (e.g., coding error rates) and intangible outcomes (e.g., staff skill enhancement) were evaluated before and after the intervention. …”
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Estimating small area population from health intervention campaign surveys and partially observed settlement data by Chibuzor Christopher Nnanatu, Amy Bonnie, Josiah Joseph, Ortis Yankey, Duygu Cihan, Assane Gadiaga, Hal Voepel, Thomas Abbott, Heather R. Chamberlain, Mercedita Tia, Marielle Sander, Justin Davis, Attila N. Lazar, Andrew J. Tatem

“…Reductions in relative error rates were 32–73% in a simulation study, and ~32% when applied to malaria survey data in Papua New Guinea. …”
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Towards a dynamic model to estimate evolving risk of major bleeding after percutaneous coronary intervention. by Nathan C Hurley, Nihar Desai, Sanket S Dhruva, Rohan Khera, Wade Schulz, Chenxi Huang, Jeptha Curtis, Frederick Masoudi, John Rumsfeld, Sahand Negahban, Harlan M Krumholz, Bobak J Mortazavi

“…Bleeding is a complication of percutaneous coronary intervention (PCI), and existing risk models produce only a single risk estimate anchored at a single point in time, despite the dynamic nature of this risk. …”
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A Universal Digital Stress Management Intervention for Employees: Randomized Controlled Trial with Health-Economic Evaluation by Johanna Freund, Filip Smit, Dirk Lehr, Anna-Carlotta Zarski, Matthias Berking, Heleen Riper, Burkhardt Funk, David Daniel Ebert, Claudia Buntrock

“…The effectiveness of digital stress management interventions has been confirmed; however, research on its economic merits is still limited. …”
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Reducing Greenhouse Gas Emissions and Modifying Nitrous Oxide Delivery at Stanford: Observational, Pilot Intervention Study by Eric P Kraybill, David Chen, Saadat Khan, Praveen Kalra

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Strengthening resources through identity-reframing interventions: empowerment for students with low socioeconomic status and with ADHD symptoms by Julius Möller, Stefan Reiss, Eva Jonas

“…Students from low SES or with ADHD symptoms might lack this sense of belonging due to their different background or their additional needs.MethodsBased on the social cure approach, we investigate two identity-reframing interventions (N = 392) that foster social belonging (Study 1) and relatedness need satisfaction (Study 2) and support academic engagement through reframing deficit narratives.ResultsIn Study 1, we found that the identity-reframing intervention successfully buffers the negative effect of low SES on social belonging, which in turn is linked to a higher academic self-concept and reduced fear of errors. …”
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