Optimal Selection of Intrinsic Mode Functions Applied to Seizure Detection by Luis Daladier Guerrero Otoya, Maximiliano Bueno López, Eduardo Giraldo Suárez, Marta Molinas Cabrera

“…Method: This study addressed a significant gap by proposing a novel approach for the automated selection of the most relevant intrinsic mode functions (IMFs) using empirical mode decomposition and discrimination metrics such as the Minkowski distance, the mean square error, cross-correlation, and the entropy function. …”
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Perception and Reality of Robotic Microsurgery: A Cross-sectional Comparative User and Nonuser Survey Study by Maximilian Mayrhofer-Schmid, MD, Martin Aman, MD, PhD, Floris V. Raasveld, MD, Wen-Chih Liu, MD, Felix Struebing, MD, Ulrich Kneser, MD, Kyle R. Eberlin, MD, Leila Harhaus, MD, Arne Hendrik Boecker, MD

“…For future indications, users saw significant importance in the role of RMSs in reducing human error. Conclusions:. Our findings underscore the potential of RMSs, drawing a realistic picture of real user experiences and nonuser expectations and highlighting key areas for further technological advancement before broader adoption.…”
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RETRACTED ARTICLE: Long non-coding RNA 91H regulates IGF2 expression by interacting with IGF2BP2 and promotes tumorigenesis in colorectal cancer by Tianyi Gao, Xiangxiang Liu, Bangshun He, Yuqin Pan, Shukui Wang

“…We, the Editors and Publisher of the journal Artificial Cells, Nanomedicine, and Biotechnology, have retracted the following article:Tianyi Gao, Xiangxiang Liu, Bangshun He, Yuqin Pan & Shukui Wang (2020) Long non-coding RNA 91H regulates IGF2 expression by interacting with IGF2BP2 and promotes tumorigenesis in colorectal cancer, Artificial Cells, Nanomedicine, and Biotechnology, 48:1, 664-671, DOI: 10.1080/21691401.2020.1727491Since publication, the authors noticed duplication in Figure 1A and 4A. As this error directly impacts the reported results and conclusions the authors alerted the issue to the Editor and Publisher to request correction. …”
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General Movements in Infants with Neurological Risk: Associations with Motor Development and Referral Patterns for Brain Magnetic Resonance Imaging by María Eugenia Serrano-Gómez, Núria Massó-Ortigosa, Adriana Lucía Castellanos-Garrido, Eduardo Acuña De La Rosa, Víctor Mauricio García-Barriga, Adriana López-Dóriga, Małgorzata Domagalska-Szopa, Andrzej Szopa, Magdalena Hagner-Derengowska, Myriam Guerra-Balic

“…With a confidence level of 95% and an estimation error of 5%, the sample was comprised of 60 children under 5 months old with any neurological risk criteria; these children were either hospitalized in the Neonatal Intensive Care Unit (NICU) or attending the Kangaroo Mother Care Program (KMCP) at the University Hospital of La Samaritana (UHS), Colombia. …”
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Smartphone-Based Estimation of Item 3.8 of the MDS-UPDRS-III for Assessing Leg Agility in People With Parkinson's Disease by Luigi Borzi, Marilena Varrecchia, Stefano Sibille, Gabriella Olmo, Carlo Alberto Artusi, Margherita Fabbri, Mario Giorgio Rizzone, Alberto Romagnolo, Maurizio Zibetti, Leonardo Lopiano

“…Furthermore, the classification error was less than 0.5 scale point in about 80% cases. …”
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A Safe Framework for Quantitative In Vivo Human Evaluation of Image Guidance by Piper C. Cannon, James M. Ferguson, E. Bryn Pitt, Jason A. Shrand, Shaan A. Setia, Naren Nimmagadda, Eric J. Barth, Nicholas L. Kavoussi, Robert L. Galloway, S. Duke Herrell, Robert J. Webster

“…We find average lesion centroid localization error with our IGS system to be 6.5 mm in vivo compared to our prior result of 3.0 mm in phantoms. …”
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Exploration of Foundational Models for Blood Glucose Forecasting in Type-1 Diabetes Pediatric Patients by Simone Rancati, Pietro Bosoni, Riccardo Schiaffini, Annalisa Deodati, Paolo Alberto Mongini, Lucia Sacchi, Chiara Toffanin, Riccardo Bellazzi

“…Results: TimeGPT outperforms or achieves comparable accuracy to the state of the art and MLP models in short-term predictions (15 and 30 min), with most predictions falling within the clinically safe zones of the Clarke Error Grid. Conclusions: The findings suggest that foundational models like TimeGPT offer promising generalization capabilities for medical applications and can serve as valuable tools to enhance diabetes management in pediatric T1D patients.…”
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Deep-learning based multi-modal models for brain age, cognition and amyloid pathology prediction by Chenxi Wang, Weiwei Zhang, Ming Ni, Qiong Wang, Chang Liu, Linbin Dai, Mengguo Zhang, Yong Shen, Feng Gao

“…Results The brain age prediction model achieved the mean absolute error (MAE) for cognitive normal population in the ADNI (test) datasets of 3.302 years. …”
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The influential factors of depression among caregivers of children with Cleft Lip and/or Palate: a path analysis based on diathesis-stress theoretical model by Jinrong Yang, Xiaohan Li, Yuqin Gao, Weiren Wang, Junyan Wang, Yanjie Wang, Caixia Gong, Runzi Wang, Lulu Yuan

“…Indirect effects on depression were observed for optimism, resilience, and coping, which were mediated through perceived social support and parenting stress. Conclusions This study suggests that depression in caregivers of children with Cleft Lip and/or Palate was leadingly influenced by parenting stress and hope. …”
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Evaluation of the psychometric properties of the Brazilian version of the Digital Health Literacy Instrument for individuals with heart failure by Daniele Cristina Bosco Aprile, Karina Aparecida Lopes da Costa, Renata Eloah de Lucena Ferretti-Rebustini, Vinicius Batista Santos, Mirian Ueda Yamaguchi, Camila Takáo Lopes

“…The adjusted model showed Comparative Fit Index = 0.99, Tucker-Lewis Index = 0.99 and Goodness of Fit Index = 0.98 and Root Mean Square Error of Approximation = 0.07. Conclusions: The Brazilian version of the Digital Health Literacy Instrument demonstrated strong internal structure validity and reliability for individuals with heart failure, supporting its use in research and clinical practice.…”
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Estimation of human metabolic age using regression and neural network analysis by O. V. Korkushko, A. V. Pysaruk, V. P. Chyzhova

“…According to the study results, the standard error in determining the metabolic age using the multiple regression equation was 9.31 years, and using the neural network – 3.18 years. …”
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Predicting implantation by using dual AI system incorporating three‐dimensional blastocyst image and conventional embryo evaluation parameters—A pilot study by Yasunari Miyagi, Toshihiro Habara, Rei Hirata, Nobuyoshi Hayashi

“…Conclusions The usefulness of the dual AI system in predicting implantation of blastocyst in handling 3D data with conventional embryo evaluation information was demonstrated. …”
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When care hurts: parents’ experiences of caring for a child with epidermolysis bullosa by Elisabeth Daae, Kristin Billaud Feragen, Terje Naerland, Charlotte von der Lippe

“…Conclusions Caring for a child with EB may imply practical and emotionally demanding tasks for the parents, and possible unmet healthcare needs. …”
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Hybrid Harris hawks-optimized random forest model for detecting multi-element geochemical anomalies related to mineralization by Hamid Sabbaghi, Nader Fathianpour

“…Tuning hyperparameters through trial-and-error way is a labor-intensive and time-consuming procedure which is not mostly eventuated to reliable results. …”
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Enhancing patient safety: identifying fall risks during patient transfers in operating rooms by Kübra Okuyucu

“…Results The thematic analysis identified six key factors contributing to falls during patient transfers: human error, team coordination, patient condition, staffing challenges, equipment issues, and inadequate training. …”
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Assessment of morbidity profile among workers of metallurgy factories processing aluminium in Howrah district of West Bengal by Debasish Biswas, Manabendra Sau, Gautam Paik, Kishore P. Madhwani, Amalendu Samanta

“…This study showed musculoskeletal discomfort in different joints and body parts in 23.35% of participants; 2.82% of participants had ventilatory defects of lung. 3.07% of participants were suffering from hearing loss, and 5.90% of participants had refractive error of eyes. Conclusions: Noncommunicable disease burden was higher than communicable diseases among study participants. …”
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Drug pricing and reimbursement information management: processes and decision making in the global economy by Dimitrios Tsourougiannis

“…The system was labour intensive, slow to update, and prone to error. An innovative web-based pricing information management system was developed to address the shortcomings of the previous system. …”
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Validation Parameters as Applied to Methods for Quantification of Microorganisms in Medicinal Products by I. A. Buylova, O. V Gunar

“…The results were obtained as part of validation/verification of the agar plate method of the State Pharmacopoeia of the Russian Federation, XIV ed.Conclusions: the validation/verification of the test method for isolation and quantification of microorganisms revealed no deviations of the study results from the established acceptance criteria. …”
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Risk Factors for Hospital-Acquired Infection in a Neonatology Service by Hilda María Delgado Acosta, Sadis Suárez del Villar Seuret, Mabel Vega Galindo

“…Chi-square method was used with a maximum error of 5% and the risk odds ratio was used with a confidence interval of 95%. …”
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Effect of onboard superconducting magnet length on the levitation characteristics of electrodynamic levitation train by WU Dingding, HUANG Huan, YUAN Yuhang, ZHENG Jun, CAI Chengbiao, DENG Zigang

“…The research results show that the simulation results are close to the released test data, with an error less than 10%, which verifies the accuracy of the simulation model. …”
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