Clinical Validation of a Computed Tomography Image-Based Machine Learning Model for Segmentation and Quantification of Shoulder Muscles by Hamidreza Rajabzadeh-Oghaz, Josie Elwell, Bradley Schoch, William Aibinder, Bruno Gobbato, Daniel Wessell, Vikas Kumar, Christopher P. Roche

“…These corrections had little impact on the deltoid measurements, as the median error in the volume and fatty infiltration measurements was <1% between the ML-generated deltoid masks and the surgeon-corrected deltoid masks. …”
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Effects of body weight-supported Tai Chi Yunshou training on upper limb motor function in stroke patients: A three-arm parallel randomized controlled trial. by Liying Zhang, Xiaoming Yu, Wangsheng Liao, Jiening Wang, Yan Lu, Naizhen Wang, Zhou Huanxia

“…Outcome assessments included the Fugl-Meyer Upper Extremity Motor Function Assessment (FMA-UE), Wolf Motor Function Test (WMFT), absolute angular error (AAE), joint range of motion (JMA), modified Barthel Index (MBI), and stroke-related quality of life. …”
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Antihypertensive Drug Recommendations for Reducing Arterial Stiffness in Patients With Hypertension: Machine Learning–Based Multicohort (RIGIPREV) Study by Iván Cavero-Redondo, Arturo Martinez-Rodrigo, Alicia Saz-Lara, Nerea Moreno-Herraiz, Veronica Casado-Vicente, Leticia Gomez-Sanchez, Luis Garcia-Ortiz, Manuel A Gomez-Marcos

“…Model performance was evaluated using the coefficient of determination (R2) and mean squared error. ResultsThe random forest models exhibited strong predictive capabilities, with internal validation yielding R2 values between 0.61 and 0.74, while external validation showed a range of 0.26 to 0.46. …”
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Development and Validation of the Media Health Literacy Scale: Assessment Tool Development Study by Sangyoon Shin, Seungyeon Kim, Youngshin Song, Hyesun Jeong, Yun Mi Yu, Euni Lee

“…Five subdomains were identified through EFA, and CFA demonstrated a good model fit (chi-square [Cmin χ2/df] under 2.659, root mean square error of approximation=0.058 [90% CI 0.053-0.062], comparative fit index=0.927, and standard root mean residual under 0.067). …”
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Integration of epigenomic and genomic data to predict residual feed intake and the feed conversion ratio in dairy sheep via machine learning algorithms by Pablo Augusto de Souza Fonseca, Aroa Suarez-Vega, Cristina Esteban-Blanco, Héctor Marina, Rocío Pelayo, Beatriz Gutiérrez-Gil, Juan-José Arranz

“…The average performance of each model was based on the root mean squared error (RMSE) and squared Spearman correlation (rho2). …”
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Clinical Features of Juvenile Open-angle Glaucoma by A. V. Malyshev, A. S. Apostolova, A. A. Sergienko, A. F. Teshev, G. Yu. Karapetov, M. K. Ashhamahova, B. N. Hatsukova

“…The given parameters with normal distribution were presented in the format M ± m, where M is the mean value, m is the standard error of the mean.Results. JOAG patients were younger than the control group — 30.1 ± 1.5 and 37.0 ± 1.9 years, p = 0.007, there were 58 % men versus 42 % women. …”
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Relative contribution of diet and physical activity to increased adiposity among rural to urban migrants in India: A cross-sectional study. by Sanjay Kinra, Poppy Alice Carson Mallinson, Jenny A Cresswell, Liza J Bowen, Tanica Lyngdoh, Dorairaj Prabhakaran, Kolli Srinath Reddy, Mario Vaz, Anura V Kurpad, George Davey Smith, Yoav Ben-Shlomo, Shah Ebrahim

“…The limitations of this study include a cross-sectional design, systematic differences in premigration characteristics of migrants and nonmigrants, low response rate, and measurement error in estimating diet and activity from questionnaires.…”
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Segmentation of ADPKD Computed Tomography Images with Deep Learning Approach for Predicting Total Kidney Volume by Ting-Wen Sheng, Djeane Debora Onthoni, Pushpanjali Gupta, Tsong-Hai Lee, Prasan Kumar Sahoo

“…However, manual localization and segmentation are tedious, time-consuming tasks and are prone to human error. Specifically, there is a lack of studies that focus on CT modality variation. …”
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Incident prescriptions for common cardiovascular medications: comparison of recent versus pre-2020 medication adherence and discontinuation in three universal health care systems by Candace D. McNaughton, Peter C. Austin, Cynthia A. Jackevicius, Anna Chu, Jessalyn K. Holodinsky, Michael D. Hill, Colleen M. Norris, Mukesh Kumar, Noreen Kamal, Douglas S. Lee, Nadia Khan, Manav V. Vyas, Raed A. Joundi, Moira K. Kapral, Amy Y. X. Yu

“…For each medication class, adherence in the recent period, defined as ≥ 0.80 proportion-of-days-covered (PDC), was compared to the pre-pandemic period using modified Poisson regression with robust error variance, adjusted for patient characteristics. …”
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Evaluation of the Biolabo Turbidimetric Assay for Automated Determination of Haemoglobin A1c by Lorenza Fagnani, Simonetta De Angelis, Pierangelo Bellio, Patrizia Frascaria, Rita Tennina, Giovanni Alloggia, Francesco Gentile, Alessandra Piccirilli, Mariagrazia Perilli, Giuseppe Celenza

“…The Bland–Altman analysis confirmed minimal systematic differences, showing a mean bias of −0.07% for NGSP and −0.74 mmol/mol for IFCC, both falling within the predefined total allowable error (ATE) limits. Imprecision studies demonstrated excellent repeatability and intermediate precision, with coefficients of variation (<i>CV</i>) ranging from 0.68% to 2.4% across all levels. …”
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Transformers for Neuroimage Segmentation: Scoping Review by Maya Iratni, Amira Abdullah, Mariam Aldhaheri, Omar Elharrouss, Alaa Abd-alrazaq, Zahiriddin Rustamov, Nazar Zaki, Rafat Damseh

“…Manual segmentation is time-consuming, apart from being prone to human error and variability. Transformers are a promising deep learning approach for automated medical image segmentation. …”
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Pathways Between Parental Attitudes and Early Childhood Caries in Preschool Children by Apolinaras Zaborskis, Aistė Kavaliauskienė, Jaunė Razmienė, Augustė Razmaitė, Vilija Andruškevičienė, Julija Narbutaitė, Eglė Aida Bendoraitienė

“…The final model met all goodness-of-fit criteria: Chi-square test <i>p</i> = 0.211, Incremental Fit Index IFI = 0.994, Tucker–Lewis Index TLI = 0.982, Comparative Fit Index CFI = 0.994, and Root Mean Square Error of Approximation RMSEA = 0.038. <b>Conclusions</b>: Findings from this study demonstrate that parents play a significant role in determining children’s oral health. …”
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The influence of tactical models of team play on the dynamics of collective ball control indicators in football by Pavlo Perepelytsia, Volodymyr Perevoznyk, Volodymyr Paievskyi, Anatoliy Abdula, Irina Pomeshchikova, Betrix Yachsie

“…All data obtained during the experimental study were processed using well-known methods of mathematical statistics: x̄ - arithmetic mean; σ - standard deviation; m – error of representativeness of the arithmetic mean; t – reliability of the difference between the mean values ​​(according to the Student’s t-test). …”
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Assessing the measurement properties of PROMIS Computer Adaptive Tests, short forms and legacy patient reported outcome measures in patients undergoing total hip arthroplasty by C. Braaksma, N. Wolterbeek, M. R. Veen, R. W. Poolman, Y. Pronk, A. D. Klaassen, R. W. J. G. Ostelo, C. B. Terwee

“…The reliability, measurement precision (Standard Error of Measurement (SEM)), smallest detectable change (SDC), and burden of PROMIS instruments were presented head-to-head to legacy PROMs. …”
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Feasibility study of automatic radiotherapy treatment planning for cervical cancer using a large language model by Shuoyang Wei, Ankang Hu, Yongguang Liang, Jingru Yang, Lang Yu, Wenbo Li, Bo Yang, Jie Qiu

“…Abstract Background Radiotherapy treatment planning traditionally involves complex and time-consuming processes, often relying on trial-and-error methods. The emergence of artificial intelligence, particularly Large Language Models (LLMs), surpassing human capabilities and existing algorithms in various domains, presents an opportunity to automate and enhance this optimization process. …”
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The effects of fixation stability, corneal density, and epithelial hyperplasia on the efficacy of astigmatism correction by transepithelial photorefractive keratectomy by Junjie Yu, Hao Zhou, Minjie Chen, Zhiqiang Yu, Xingtao Zhou, Yishan Qian

“…Multiple linear regression analyses were performed to identify factors associated with the correction index (CI) and angle of error (AOE). Results At 6 months postoperatively, the RA was higher in the high RA group (− 0.66 ± 0.44 D) than in the low RA group (− 0.29 ± 0.29 D, P < 0.001), whereas no significant differences were found in CI or AOE between two groups. …”
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Minimum required distance for clinically significant measurement of habitual gait speed by Myung Woo Park, Sun Gun Chung, Jaewon Beom, Kyung Su Kim, Joonghee Kim, Chul-Hyun Park, Jinkyu Lee, Keewon Kim

“…We also investigated which clinical, anthropometric, or epidemiological variables might influence it by assessing their association with gait speed variance using mean squared error from linear regression. Results Gait speed measured by pose estimation (1.55 ± 0.18 m/s) showed a high level of agreement with manual measurement (1.56 ± 0.14 m/s), with an intraclass correlation coefficient of 0.889 (95% CI: 0.822–0.931). …”
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A novel equation synthesis for estimating resting energy expenditure in prostate cancer patients by Nilüfer Acar Tek, Tevfik Koçak, Süleyman Yeşil, Tevfik Sinan Sözen

“…The smallest root mean squared error (RMSE) values in the malign and benign prostate groups were novel equation MPG (149 kcal/d) and novel equation BPG (202 kcal/d). …”
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Dose prediction of CyberKnife Monte Carlo plan for lung cancer patients based on deep learning: robust learning of variable beam configurations by Yuchao Miao, Jiwei Li, Ruigang Ge, Chuanbin Xie, Yaoying Liu, Gaolong Zhang, Mingchang Miao, Shouping Xu

“…The AB model matched well with the clinical plan’s dose-volume histograms, and the average dose error for all organs was 1.65 ± 0.69%. Conclusions Our proposed new model signifies a crucial advancement in predicting CK 3D dose distributions for clinical applications. …”
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Validation of the Perceived Barriers to Antiretroviral Therapy Adherence (PEDIA) Scale Among Gay, Bisexual, and Other Men Who Have Sex With Men and Transgender and Nonbinary Person... by Victor C Matos, Dyego Carlos Araújo, Thiago S Torres, Paula M Luz

“…CFA fit indices for PEDIAr were adequate (root mean square error of approximation=0.07, comparative fit index=0.95, Tucker-Lewis Index=0.94, standardized root mean square residual=0.05). …”
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