A Retrospective Study of Nonsurgical Management Options for Permanent Filler Complications of the Gluteal Region by Tom S. Decates, MD, PhD, Tamar Schoonen, MD, Armanda J. Onderdijk, MD, PhD, Martin van Leerdam, PhD, Peter J. Velthuis, MD, PhD

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Classifying the Information Needs of Survivors of Domestic Violence in Online Health Communities Using Large Language Models: Prediction Model Development and Evaluation Study by Shaowei Guan, Vivian Hui, Gregor Stiglic, Rose Eva Constantino, Young Ji Lee, Arkers Kwan Ching Wong

“…In addition, we used LLM-based data augmentation techniques to overcome the limitations of a relatively small and imbalanced dataset. …”
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Maternal and perinatal outcome in obese pregnant women in labour ward by Zilan Abdullah Hassan, Avin Sadiq Jamil

“…Data were analyzed using the SPSS, version 25, to test statistical significance. …”
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Machine learning based prediction of cognitive metrics using major biomarkers in SuperAgers by Hyo-Bin Lee, So-Yeon Kwon, Ji-Hae Park, Bori Kim, Geon-Ha Kim, Jang-Hwan Choi, Young Mi Park

“…To address the limitation of small sample sizes, data augmentation leveraging large language models improved the model’s robustness. …”
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SkinIncept: an ensemble transfer learning-based approach for multiclass skin disease classification using InceptionV3 and InceptionResNetV2 by Md. Hasan Imam Bijoy, Md. Mahbubur Rahman, Abdus Sattar, Aminul Haque, Mohammad Shamsul Arefin, Pranab Kumar Dhar, Tetsuya Shimamura

“…The quality of processed images is validated using statistical methods, including MSE, PSNR, SSIM, and RMSE. …”
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A multi-filter deep transfer learning framework for image-based autism spectrum disorder detection by Rodrigo Colnago Contreras, Monique Simplicio Viana, Victor José Souza Bernardino, Francisco Lledo dos Santos, Önsen Toygar, Rodrigo Capobianco Guido

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Rainfall prediction based on CNN-LSTM model under sliding window by Rui Yuan

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Deep learning for automated dental plaque index assessment: validation against expert evaluations by Jin-Sun Jeong, Kyeong-Seop Kim, Yu Gu, Da-Hyun Yoon, Meng Zhang, Ling Wang, Jeong-Hwan Kim

“…Results After data augmentation, the DL model achieved a micro-average accuracy of 73.67% and a macro-average accuracy of 65.15%, with a precision of 76.34%, recall of 65.15%, and an F1 score of 66.15%. …”
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A Deep Learning-Based Approach for Cell Segmentation in Phase-Contrast Images by Basma A. Mohamed, Nancy M. Salem, Walid Al-Atabany, Lamees N. Mahmoud

“…The Ranger optimizer outperformed Adam and SGD with an Intersection over Union (IoU) of 94.3% and an F1 score of 97.1% on the PhC-C2DH-U373 dataset, as well as an IoU of 85.3% and F1 score of 92% on the PhC-C2DL-PSC dataset, both with data augmentation. Statistical validation using the Wilcoxon signed-rank test confirmed the significance of these results (P-Value < 0.01). …”
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Comparative evaluation of deep learning architectures, including UNet, TransUNet, and MIST, for left atrium segmentation in cardiac computed tomography of congenital heart diseases by Seoyeong Yun, Jooyoung Choi

“…Volumes underwent resampling, intensity normalization, and data augmentation. UNet, TransUNet, and MIST models were trained using 80% of 97 cases, with the remaining 20% employed for validation. …”
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Effectiveness of the Modified WHO Labour Care Guide to Detect Prolonged and Obstructed Labour Among Women Admitted at Eight Publicly Funded, Midwife-Led Community Health Facilities... by Mugyenyi GR, Tumuhimbise W, Atukunda EC, Tibaijuka L, Ngonzi J, Kayondo M, Kanyesigye M, Musimenta A, Yarine FT, Byamugisha JK

“…Data was collected in REDcap and analyzed using STATA v17; statistical significance was p < 0.05.Results: A total of 991 (49.3%) and 1020 (50.7%) women were monitored using the LCG and partograph, respectively. …”
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Person Recognition from Gait Analysis for Smart Spaces by using MLP-based DNN model by Cüneyt Yücelbaş

“…In addition, the ACC rate was found to be 100%, and it proved that the method used to increase the data also produced successful results in walking data. …”
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An open dataset and machine learning algorithms for Niacin Skin-Flushing Response based screening of psychiatric disorders by Xuening Lyu, Rimsa Goperma, Dandan Wang, Chunling Wan, Liang Zhao

“…This segmentation is significantly enhanced by runtime data augmentation and trained on a robust train/validation/test dataset split. …”
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RiceLeafClassifier‐v1.0: A Quantized Deep Learning Model for Automated Rice Leaf Disease Detection and Edge Deployment by Oluwaseun O. Martins, Christiaan C. Oosthuizen, Dawood A. Desai

“…Training enhancements included data augmentation, dropout, dynamic learning rate scheduling, and early stopping. …”
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Twenty-four-hour profile of peripheral and central blood pressure in young patients with high-normal blood pressure and hypertension by S. B. Silkina, O. N. Antropova, I. V. Osipova

“…Depending on BP, patients were divided into groups: with HNBP and hypertension. Statistical processing and comparative analysis of the obtained data were carried out.Results. …”
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Dependence of local carotid arterial stiffness on the presence of atherosclerotic plaque in the carotid basin in hypertensive patients by A. O. Bohun

“…Basic anthropometric data, laboratory parameters of lipid and carbohydrate metabolism, creatinine, quality intima-media thickness (QIMT), local stiffness indicators: artery diameter, distensibility, distensibility coefficient (DC), compliance coefficient (CC), stiffness indices α, β, local pulse wave velocity (PWV), pressure and augmentation index (using RF-QIMT, RF-QAS technologies) were studied. …”
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CLINICAL-EPIDEMIOLOGICAL CHARACTERISTIC OF ECHINOCOCCOSIS IN ZAPOROZHYE REGION by E. V. Ryabokon, O. V. Zarudnaya, N. S. Ushenina

“…For confirmation of the diagnosis were used instrumental (ultrasonic research, computer tomography), serological (identification of antibodies to echinococcus), histological (after cyst excision) methods. The obtained data were processed by a method of variation statistics. …”
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Algerian elders are living longer lives, but shorter lives free of chronic diseases: An analysis of the 2006-2019 period by Farid Flici, Meryem Chinoune

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Progression of the first stage of spontaneous labour: A prospective cohort study in two sub-Saharan African countries. by Olufemi T Oladapo, Joao Paulo Souza, Bukola Fawole, Kidza Mugerwa, Gleici Perdoná, Domingos Alves, Hayala Souza, Rodrigo Reis, Livia Oliveira-Ciabati, Alexandre Maiorano, Adesina Akintan, Francis E Alu, Lawal Oyeneyin, Amos Adebayo, Josaphat Byamugisha, Miriam Nakalembe, Hadiza A Idris, Ola Okike, Fernando Althabe, Vanora Hundley, France Donnay, Robert Pattinson, Harshadkumar C Sanghvi, Jen E Jardine, Özge Tunçalp, Joshua P Vogel, Mary Ellen Stanton, Meghan Bohren, Jun Zhang, Tina Lavender, Jerker Liljestrand, Petra Ten Hoope-Bender, Matthews Mathai, Rajiv Bahl, A Metin Gülmezoglu

“…Substantial differences exist between actual plots of labour progression of individual women and the 'average labour curves' derived from study population-level data. Exclusion of women with augmented labours from the study population resulted in slightly faster labour progression patterns.…”
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Real-Time Detection of Forest Fires Using FireNet-CNN and Explainable AI Techniques by Gazi Mohammad Imdadul Alam, Naima Tasnia, Tapu Biswas, Md. Jakir Hossen, Sharia Arfin Tanim, Md Saef Ullah Miah

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