Effectiveness of sensorimotor training on pain, cervical joint position sense, range of motion, balance, and disability in chronic neck pain: A systematic review by Sahar Zaidi, Sohrab Ahmad Khan, Saima Zaki, Habiba Sundus, Md Farhan Alam, Shibili Nuhmani

“…Conclusion: SMT is an effective intervention for chronic neck pain, addressing pain, sensorimotor deficits, balance impairments, and disability. …”
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Treatment Results of Extracranial Malignant Germ Cell Tumor with Regimens of Cisplatin, Vinblastine, Bleomycin or Carboplatin, Etoposide, and Bleomycin with Special Emphasis on the... by Jen-Yin Hou, Hsi-Che Liu, Ting-Chi Yeh, Jin-Cherng Sheu, Kuan-Hao Chen, Ching-Yi Chang, Der-Cherng Liang

“…Results: As of June 30, 2012, the 10-year overall survival (OS) was 95 ± 3% (standard error) and the event-free survival (EFS) was 88 ± 4%. …”
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Prediction of moisture content of hummus peach based on multi-burr hyperspectral data by GAO Aidi, QIAO Fengzhang, ZHU Wenxuan, ZHONG Xiaopin, DENG Yuanlong

“…The coefficient of determination (<i>R</i>²) was 0.928, and the root mean square error (RMSE) was 0.008 4 on the training set. The <i>R</i>² was 0.926, and the RMSE was 0.009 2 on the testing set. …”
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Rapid diagnosis of drug resistance to fluoroquinolones, amikacin, capreomycin, kanamycin and ethambutol using genotype MTBDRsl assay: a meta-analysis. by Yan Feng, Sijun Liu, Qungang Wang, Liang Wang, Shaowen Tang, Jianming Wang, Wei Lu

“…<h4>Conclusion</h4>Genotype MTBDRsl showed good accuracy for detecting drug resistance to fluoroquinolones, amikacin and capreomycin, but it may not be an appropriate choice for kanamycin and ethambutol. …”
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A structured evaluation of LLM-generated step-by-step instructions in cadaveric brachial plexus dissection by Fulya Temizsoy Korkmaz, Fatma Ok, Burak Karip, Papatya Keleş

“…This gap is particularly pronounced in anatomically complex areas with low error tolerance, such as brachial plexus dissection. …”
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Rating of perceived exertion versus heart rate for isometric exercise prescription: Reliability and agreement study by Paulo Henrique de Melo, Anderson Cavalcante, Jessika Karla Tavares do Nascimento Faustino Silva, José Lucas Porto Aguiar, Jefferson Maxwell De Farias Silva, Theo Victor Alves Soares Rêgo, Raphael Mendes Ritti-Dias, Breno Quintella Farah

“…The Bland-Altman plots indicated good agreement between HRmax and RPEmax. CONCLUSION: HR and RPE showed similar reliability and agreement during the isometric wall squat incremental test.…”
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Can ChatGPT Support Clinical Coding Using the ICD-10-CM/PCS? by Bernardo Nascimento Teixeira, Ana Leitão, Generosa Nascimento, Adalberto Campos-Fernandes, Francisco Cercas

“…The accuracy rate for codes was similar across languages, with rates of 31.0% and 31.9%. The error rate in procedure codes was substantially higher than that in diagnostic codes by almost four times. …”
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Ventricular function assessment using an ultrafast spoiled gradient echo sequence with an intravascular blood pool contrast agent in pediatric patients. by Tayaba Miah, Rithvik Gunda, Gerald Greil, Mohammad Hussain, Qing Zou

“…All Bland-Altman plots show good agreement and reveal no systematic bias or random error.<h4>Conclusion</h4>T1-TFE sequences in combination with Ferumoxytol allow reliable ventricular function assessment and overcome the limitations of traditional bSSFP MR sequences in this context.…”
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Prediction of Rheological Parameters of Polymers by Machine Learning Methods by T. N. Kondratieva, A. S. Chepurnenko

“…The developed models showed an average absolute percentage error in the range of 5.9 – 8.9%. In addition to synthetic data, the developed models were also tested on real experimental data for polyvinyl chloride in the temperature range from 20° to 60°C.Discussion and Conclusion. …”
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INFLUENCE OF SOCIAL AND MEDICAL FACTORS ON THE DURATION OF EXCLUSIVE BREASTFEEDING by Л. Мельничук, А. Дячук, О. Макарова

“…Statistical analysis was performed using methods of variation statistics, calculating the mean (M) and standard error of the mean (m). Correlation analysis was conducted to determine the relationship between variables and to assess its strength and direction. …”
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Performance of dual-energy subtraction in contrast-enhanced mammography for three different manufacturers: a phantom study by Gisella Gennaro, Giulia Vatteroni, Daniela Bernardi, Francesca Caumo

“…The doses of CEM2 and CEM3 increased by 49.6% and 8.0% compared with CEM1, respectively. Conclusion One system outperformed others in DES algorithms, providing higher CNR at lower doses. …”
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Assessment of the attitude and fears of the physicians of Pakistan regarding artificial intelligence: a cross-sectional survey in 2024 by Abdur Rehman Khalid, Farooq Ahmad, Smak Ahmed, Muhammad Ahrar Bin Naeem, Noor ul Ain, Hassan Mehmood, Aasma Sajawal, Muhammad Umar, Aiman Atta, Hassaan Amin, Shahid Mahmood

“…Abstract Background and aim Artificial intelligence has emerged as a transformative tool in healthcare, enhancing diagnostic accuracy, advancing genetic studies, and improving personalized medicine by reducing human error. However, its integration also raises ethical concerns such as potential bias, privacy issues, and uncertainties over decision-making authority. …”
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Does a priming warm-up influence the incidence of [Formula: see text] during a ramp test and verification phase? by JianBo Qiao, Paul Rosbrook, Daniel K Sweet, Riana R Pryor, David Hostler, David Looney, J Luke Pryor

“…The verification phase confirmed [Formula: see text] in 100% for both the normal and priming visits.<h4>Conclusion</h4>Our hypothesis that a priming warm-up facilitates the incidence rate of [Formula: see text] during a ramp test is not supported by the results. …”
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Leveraging machine learning for duration of surgery prediction in knee and hip arthroplasty – a development and validation study by Benedikt Langenberger, Daniel Schrednitzki, Andreas Halder, Reinhard Busse, Christoph Pross

“…Results On test data in the multi-hospital setting, the mean absolute error (MAE) was 12.13 min (HA) / 13.61 min (KA) for XGBoost. …”
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El Objeto Extraño Retenido y su relación con Enfermería: Revisión sistemática exploratoria by María Fernanda Meza-Galindo, Eduardo Ensaldo-Carrasco, Gladis Patricia Aristizábal-Hoyos, Miguel Ángel Lezana Fernández, Fernando Meneses González

“…Se identificaron 19 tipos de factores contribuyentes asociados a fallas organizacionales (p.ej. fallas de comunicación), al conteo quirúrgico (p.ej. error en el conteo) y al paciente p.ej. índice de masa corporal). …”
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Psychometric properties of screening tools for mild cognitive impairment in older adults based on COSMIN guidelines: a systematic review by Shasha Wen, Dongmei Cheng, Nana Zhao, Xinyu Chen, Xianying Lu, Yue Li, Huanle Liu, Jing Gao, Chaoming Hou, Ran Xu

“…No data were found on cross-cultural validity/measurement invariance, measurement error, or responsiveness. The final three instruments, AV-MoCA, HKBC, and Qmci-G, received class A recommendations and were recommended for use. …”
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A Cross-sectional Study on Stature Estimation from Arm Lengths among North Indian Population using Machine Learning by Arunima Dutta, Gyamar Anya

“…The decision forest model achieved an accuracy of 0.951 and a Root Mean Square Error (RMSE) of 1.75. Conclusion: The present study suggests that stature shows strong correlations with forearm length and TAL for both sexes. …”
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Current status and influencing factors of pelvic floor muscle training adherence in rectal cancer patients with prophylactic ostomy by LIU Na, PI Hongying, GAO Na

“…The random forest algorithm identified 7 key predictors when the minimum error was achieved at a λ value of 2.293. The top 7 variables in importance ranking were PFMT self-efficacy, total knowledge-attitude-practice (KAP) score, education level, primary caregiver, tumor location, stoma reversal time, and chemoradiotherapy. …”
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Water temperature prediction in a subtropical subalpine lake using soft computing techniques by Saeed Samadianfard, Honeyeh Kazemi, Ozgur Kisi, Wen-Cheng Liu

“…To evaluate the performance of the soft computing techniques, three different statistical indicators were used, including the root mean squared error (RMSE), the mean absolute error (MAE), and the coefficient of correlation (R). …”
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Corneal higher-order aberrations following small incision lenticule extraction for high myopic astigmatism correction by Yin Liu, Cheng Hu, Juan Yu, Nian Xiang, Bo Zeng, Wen-Shan Jiang

“…The magnitude of error was -0.37±0.31 D in HAG and -0.04±0.19 D in LAG (P<0.001). …”
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