PREVENT Risk Score vs the Pooled Cohort Equations in MESA by Brittany Saldivar Murphy, MD, M. Sims Hershey, MD, MBA, Shi Huang, PhD, Yunbi Nam, MS, Wendy S. Post, MD, Robyn L. McClelland, PhD, Andrew P. DeFilippis, MD, MSc

“…PREVENT-HF overestimates HF events by 2.1%, a relative risk overestimation of 62.6%. Conclusions: PREVENT-ASCVD equations demonstrated a more accurate ASCVD risk-prediction stratification than the PCE. …”
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Long-Term Predictive Modelling of the Craniofacial Complex Using Machine Learning on 2D Cephalometric Radiographs by Michael Myers, Michael D. Brown, Sarkhan Badirli, George J. Eckert, Diane Helen-Marie Johnson, Hakan Turkkahraman

“…Model performance was evaluated using mean absolute error (MAE), intraclass correlation coefficients (ICCs), and clinical thresholds (2 mm or 2°). …”
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Diagnosis on Ultrasound Images for Developmental Dysplasia of the Hip with a Deep Learning-Based Model Focusing on Signal Heterogeneity in the Bone Region by Hirokazu Shimizu, Ken Enda, Hidenori Koyano, Takuya Ogawa, Daisuke Takahashi, Shinya Tanaka, Norimasa Iwasaki, Tomohiro Shimizu

“…<b>Conclusions:</b> The study developed a deep-learning-based model for DDH detection in infants, melding 3D technology with deep learning to address challenges like noise and rotation in ultrasound images. …”
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Automatic Detection of Radiographic Alveolar Bone Loss in Bitewing and Periapical Intraoral Radiographs Using Deep Learning Technology: A Preliminary Evaluation by Amjad AlGhaihab, Antonio J. Moretti, Jonathan Reside, Lyudmila Tuzova, Yiing-Shiuan Huang, Donald A. Tyndall

“…For bitewing radiographs, sensitivity was 65%, specificity was 90%, PPV was 88%, NPV was 70%, and accuracy was 76%, with an MAE of 0.499 mm. <b>Conclusions:</b> Denti.AI demonstrated clinically acceptable performance in detecting RBL and shows potential as an adjunctive diagnostic tool, supporting clinical decision-making. …”
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Assessing the association between tourism and the alcohol urban environment in Barcelona: a cross-sectional study by Xisca Sureda, Manuel Franco, Susanna Puigcorbé, Joan R Villalbí, Marina Bosque-Prous, Ester Teixidó-Compañó, Montserrat Bartroli, Albert Espelt

“…Census tracts with the highest tourism pressure had 2.5 (95% CI: 1.85–3.38) times more outlets and 2.3 (95% CI: 1.64–3.23) times more promotion elements per 1000 residents than those in the lowest tourism pressure quartile.Conclusions We observed a strong association between tourism pressure and alcohol exposure in the city of Barcelona.…”
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The mediating role of instrumental activities of daily living between cognitive function and depressive symptoms in community-dwelling older adults: the Arao study by Maiko Nagaoka, Katsuya Nagaoka, Naoto Kajitani, Seiji Yuki, Asuka Koyama, Kazuhiro Yoshiura, Kazuki Honda, Yusuke Miyagawa, Shuken Boku, Noboru Fujise, Minoru Takebayashi

“…Conclusions IADL was a mediating factor in the relationship between cognitive function and depressive symptoms, and cognitive function contributed to depressive symptoms through IADL. …”
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Effects of Trapezius Muscle Self-Stretching on Muscle Stiffness and Choroidal Circulatory Dynamics: An Evaluation Using Ultrasound Strain Elastography and Laser Speckle Flowgraphy by Miki Yoshimura, Takanori Taniguchi, Takeshi Yoshitomi, Yuki Hashimoto

“…Methods: Eighteen healthy adults in their 20s (median age ± standard error: 21.0 ± 4.9 years) and eight healthy adults in their 40s (age: 43.0 ± 15.2 years) were included. …”
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Predicting Pharmacokinetics of Active Constituents in <i>Spatholobi caulis</i> by Using Physiologically Based Pharmacokinetic Models by Xiaoyan Liu, Ruihu Du, Tao Zhang, Yingzi Li, Ludi Li, Zheng Yang, Youbo Zhang, Qi Wang

“…The accuracy of the PBPK models was assessed using fold-error (FE) values. Result: The FE values ranged from 1.03 to 1.52, meeting the PBPK model regulations where FE should be less than 2. …”
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Assessing Strength Effort in Pre-Adolescent Girls: Insights into Effort Accuracy at Different Strength Thresholds by Prashant Kumar Choudhary, Suchishrava Dubey, Bindiya Rawat, Sonu Kumar, Bhanu Pratap, Deepak Bangari, Sandeep Kumar, Sambhu Prasad, Dalveer Singh Kaunteya

“…Participants’ maximum hand strength was measured using a dynamometer, and their ability to assess effort at 1/3, 1/2, and 2/3 of this maximum was recorded. Results. The error of effort assessment was calculated and analyzed using paired and independent samples t-tests. …”
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Nutritional and neurological diagnosis according to period of evolution, neurological level and injury type in rachimedullary patients by Francisca Zamora Pérez, Carmen Margarita Santos-Hernández, Juan E. Bender del Busto, Carlos S. González Martínez, Alejandro P. Terry Zamora

“…Means, standard deviation, standard error and analysis of variance for normal distributions were obtained. …”
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Robot‐assisted total knee arthroplasty improves mechanical alignment and accuracy of component positioning compared to the conventional technique by Chang Hyun Nam, Su Chan Lee, Jin‐Hong Kim, Hye Sun Ahn, Ji‐Hoon Baek

“…The polyethylene liner thickness was investigated. The respective mean error values and outliers were obtained for the two study groups and were compared to determine the mechanical axis and the accuracy of the postoperative component positioning. …”
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Thalamic functional dysconnectivity in patients with left-hemisphere chronic capsular and pontine stroke by Jun Guo, Jun Guo, Hongchuan Zhang, Hongchuan Zhang, Jingchun Liu, Caihong Wang, Chen Cao, Jingliang Cheng, Chunshui Yu, Wen Qin

“…Finally, a weak correlation was found between FC of both ipsilesional/contralesional thalamic subfields and motor, working and verbal memory.ConclusionsThe thalamic functional dysconnectivity after chronic stroke are lesion-location and subfields dependent. …”
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Measuring implicit associations with behaviours to improve resident mood: development of implicit association tasks for nursing home care providers by Inge Knippenberg, Ruslan Leontjevas, Ine Declercq, Jacques van Lankveld, Debby Gerritsen

“…Results: Content validity indexes for target stimuli were satisfactory. Error rates were acceptable for attribute stimuli, but exceeded the 10 % limit for target stimuli. …”
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A Focus on the Role of Dietary Treatment in the Prevention of Retinal Dysfunction in Patients with Long-Chain 3-Hydroxyacyl-CoA Dehydrogenase Deficiency: A Systematic Review by Evelina Maines, Giorgia Gugelmo, Nicola Vitturi, Alice Dianin, Laura Rubert, Giovanni Piccoli, Massimo Soffiati, Vittoria Cauvin, Roberto Franceschi

“…The role of other nutritional supplements was not well defined. <b>Conclusions</b>: Newborn screening may improve retinal outcomes. …”
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Hospitalization, mortality, and health service delivery pattern among Iranian Hajj pilgrims by age, sex, and province in 2013–22 by Pirhossein Kolivand, Pirhossein Kolivand, Peyman Saberian, Jalal Arabloo, Peyman Namdar, Taher Doroudi, Taher Doroudi, Ali Marashi, Masoud Behzadifar, Fereshte Karimi, Soheila Rajaei, Behzad Raei, Seyed Jafar Ehsanzadeh, Arash Parvari, Samad Azari, Samad Azari

“…With the exception of heart attacks, other factors significantly impacted the average number of pilgrim hospitalizations at a 5% error level. For instance, the hospitalization figure for female pilgrims was 0.73 times that of male pilgrims, and each additional unit of pilgrimage contributed to a 0.05% increase in hospitalizations.ConclusionsTackling the public health challenges associated with mass gatherings is crucial for protecting the health of attendees and ensuring the safety of communities. …”
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Digital twin-based modeling of natural gas leakage and dispersion in urban utility tunnels [version 2; peer review: 2 approved] by Jiansong Wu, Jitao Cai, Ziqi Han, Yanzhu Hu, Ming Fu, Yuefei Li, Xin Wang, Xiaofu Zou

“…And both the gas concentration predictions and the source term estimations can be calibrated effectively by the proposed approach, achieving a relative error of less than 5%. Conclusions This study helps for dynamic risk assessment and emergency response of natural gas leakage accidents, as well as facilitating the implementation of predictive digital twin in utility tunnels.…”
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Deep Learning−Driven Exophthalmometry through Facial Photographs in Thyroid Eye Disease by Joonhyeon Park, PhD, Jin Sook Yoon, MD, PhD, Namju Kim, MD, PhD, Kyubo Shin, PhD, Hyun Young Park, MD, PhD, Jongchan Kim, MS, Jaemin Park, MS, Jae Hoon Moon, MD, PhD, JaeSang Ko, MD, PhD

“…Main Outcome Measures: Accuracy was assessed using mean absolute error (MAE), Pearson correlation coefficient, intraclass correlation coefficient (ICC), and area under the curve of the receiver operating characteristic curve. …”
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Biomarker and clinical data–based predictor tool (MAUXI) for ultrafiltration failure and cardiovascular outcome in peritoneal dialysis patients: a retrospective and longitudinal st... by Eva María Arriero-País, María Auxiliadora Bajo-Rubio, Roberto Arrojo-García, Pilar Sandoval, Guadalupe Tirma González-Mateo, Patricia Albar-Vizcaíno, Gloria del Peso-Gilsanz, Marta Ossorio-González, Pedro Majano, Manuel López-Cabrera, Gloria del Peso-Gilsanz

“…PD outcomes were analysed in four categories (endurance, exit from PD, cause of PD end, technical failure) by using MMT biomarkers in effluents and clinical databases.Results MMT biomarkers and clinical data can predict PD with a mean absolute error of 16.99 months by using an Extra Tree (ET) regressor. …”
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Patients’ accounts of living with and managing inflammatory bowel disease in rural Southern New Zealand: a qualitative study by Tim Stokes, Trudy Sullivan, Fiona Doolan-Noble, Lauralie Richard, Sarah Derrett, Geoff Noller, Andrew McCombie, Michael Schultz, Christine Ho

“…Participants shared different strategies on how to manage IBD, describing a ‘trial and error’ process of ‘finding what is right’ at different stages of the condition. …”
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Artificial Intelligence Approach in Hip Prosthesis Identification and Addressing Radiographic Outcome Measures by Omar Musbahi, MSc, ChM, Savvas Hadjixenophontos, MEng, Saran S. Gill, Iris Soteriou, Bsc, Kyriacos Pouris, Bsc, Takuro Ueno, PhD, Justin P. Cobb, MCh

“…MAE and R2 with the NN were 1.94 and 0.53, respectively. Conclusions: This study demonstrates that the identification of hip resurfacing prostheses using AI is feasible. …”
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