RETRACTED: Modern Subtype Classification and Outlier Detection Using the Attention Embedder to Transform Ovarian Cancer Diagnosis by S. M. Nuruzzaman Nobel, S M Masfequier Rahman Swapno, Md. Ashraful Hossain, Mejdl Safran, Sultan Alfarhood, Md. Mohsin Kabir, M. F. Mridha

“…This research explores the complex field of Ovarian Cancer Subtype Classification and the crucial task of Outlier Detection, driven by a progressive automated system, as the need to fight this unforgiving illness becomes critical. …”
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From deliberation to acclamation: how did Twitter’s algorithms foster polarized communities and undermine democracy in the 2020 US presidential election by Gustavo Morales, Gustavo Morales, Augusto Salazar, Diego Puche

“…To develop a comprehensive analysis of large interaction datasets, we propose a novel methodology leveraging large language models to automate the classification process. The analysis reveals how algorithmically driven virtual interactions create a “mixed reality,” where virtual and real-world dynamics intersect, leading to increased polarization and the erosion of democratic deliberation. …”
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Artificial intelligence for the detection of acute myeloid leukemia from microscopic blood images; a systematic review and meta-analysis by Feras Al-Obeidat, Wael Hafez, Wael Hafez, Asrar Rashid, Mahir Khalil Jallo, Munier Gador, Ivan Cherrez-Ojeda, Ivan Cherrez-Ojeda, Daniel Simancas-Racines

“…Microscopic blood tests are the most common methods for identifying leukemia subtypes. An automated optical image-processing system using artificial intelligence (AI) has recently been applied to facilitate clinical decision-making.AimTo evaluate the performance of all AI-based approaches for the detection and diagnosis of acute myeloid leukemia (AML).MethodsMedical databases including PubMed, Web of Science, and Scopus were searched until December 2023. …”
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Accelerated symptom improvement in Parkinson’s disease via remote internet-based optimization of deep brain stimulation therapy: a randomized controlled multicenter trial by Alireza Gharabaghi, Sergiu Groppa, Marta Navas-Garcia, Alfons Schnitzler, Laura Muñoz-Delgado, Vicky L. Marshall, Jessica Karl, Lin Zhang, Ramiro Alvarez, Mary S. Feldman, Michael J. Soileau, Lan Luo, S. Elizabeth Zauber, Benjamin L. Walter, Chengyuan Wu, Hong Lei, Damian M. Herz, Ming-Hua Chung, Yagna Pathak, Bram Blomme, Binith Cheeran, Corneliu Luca, Daniel Weiss

“…Ninety-six patients were randomly assigned in a 1:1 ratio using automated allocation, blocked into groups of 4, allocation concealed, and no stratification. …”
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Deep Learning-Based Fully Automatic Segmentation of the Paranasal Sinuses in Chronic Rhinosinusitis Patients Using Computed Tomographic Images by Yuhang Wang, Xiaolei Zhang, Weidong Du, Na Dai, Yi Lyv, Keying Wu, Yiyang Tian, Yuxin Jie, Yu Lin, Weipiao Kang

“…We chose a custom 3D nnU-Net v2 network model because of its excellent performance in the field of 3D medical image segmentation, especially in automated training and accurate segmentation of complex structures. …”
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Multi-centre comparison between device-independent web-browser perimetry (Melbourne Rapid Fields-web) and SITA-Faster for glaucoma by Joyce Tiang, Algis J. Vingrys, Algis J. Vingrys, Sarah Lin, Selwyn M. Prea, Adam Ahmed Moktar, Allan Bank, Ashish Agar, Ashish Agar, Yu Xiang George Kong, Yu Xiang George Kong, Yu Xiang George Kong

“…PurposeVisual field testing is important for glaucoma diagnosis and management, but access to standard automated perimetry can be limited in some areas due to cost or access. …”
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sORFdb – a database for sORFs, small proteins, and small protein families in bacteria by Julian M. Hahnfeld, Oliver Schwengers, Lukas Jelonek, Sonja Diedrich, Franz Cemič, Alexander Goesmann

“…Despite this, they are overlooked in many cases by automated genome annotation pipelines, and often, no functional descriptions can be assigned due to a lack of known homologs. …”
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Investigating BLS instructors’ ability to evaluate CPR performance: focus on compression depth, rate, and recoil by Shih-Jhan Lin, Chih-Jan Chang, Shao-Chung Chu, Ying-Hsin Chang, Ming-Yuan Hong, Po-Chang Huang, Chia-Lung Kao, Chih-Hsien Chi

“…Key metrics such as chest compression speed, depth, and recoil were examined to identify the degree of consistency between human and automated evaluations. Results In this study, CPR performance was analyzed using QCPR devices and BLS instructors across metrics like speed, depth, and recoil. …”
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Dual Functions of Androgen Receptor Overexpression in Triple-Negative Breast Cancer: A Complex Prognostic Marker by Umay Kiraz, Emma Rewcastle, Silja K. Fykse, Ingrid Lundal, Einar G. Gudlaugsson, Ivar Skaland, Håvard Søiland, Jan P. A. Baak, Emiel A. M. Janssen

“…In a population-based TNBC cohort (<i>n</i> = 198) with long follow-up (4–383 months), AR expression was evaluated via subjective scoring (AR-Manual) and automated digital image analysis (AR-DIA). A 10% cut-off value via AR-DIA was the strongest negative prognostic threshold for distant metastases (<i>p</i> = 0.008). …”
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The Immunohistochemical Prognostic Value of Nuclear and Cytoplasmic Silent Information Regulator 1 Protein Expression in Saudi Patients with Breast Cancer by Bayan Alharbi, Alia Aldahlawi, Mourad Assidi, Fatemah Basingab, Kawther Zaher, Jehan Alrahimi, Sara Mokhtar, Jaudah Al-Maghrabi, Abdelbaset Buhmeida, Kaltoom Al-Sakkaf

“…SIRT1 was stained on tissue microarray slides using automated immunohistochemistry. Results: All BC subtypes expressed more nuclear SIRT1 proteins than their cytoplasm counterparts. …”
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Understanding barriers to veterinary involvement in dairy calf health management by Kristen Y. Edwards, Angel Abuelo, Stephen J. LeBlanc, Trevor J. DeVries, Michael A. Steele, Joao H. C. Costa, David L. Renaud

“…Veterinarians were least confident in their knowledge regarding milk feeding and weaning recommendations but they were interested in learning more about post-weaning nutrition and automated calf feeders. Further, they preferred conference presentations for continuing education. …”
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Artificial intelligence in breast cancer survival prediction: a comprehensive systematic review and meta-analysis by Zohreh Javanmard, Saba Zarean Shahraki, Kosar Safari, Abbas Omidi, Sadaf Raoufi, Mahsa Rajabi, Mohammad Esmaeil Akbari, Mehrad Aria

“…Artificial Intelligence (AI) and Machine Learning (ML) algorithms offer promising solutions for automated survival prediction, driving this study’s systematic review and meta-analysis.MethodsThree online databases (Web of Science, PubMed, and Scopus) were comprehensively searched (January 2016-August 2023) using key terms (“Breast Cancer”, “Survival Prediction”, and “Machine Learning”) and their synonyms. …”
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Calving front positions for 42 key glaciers of the Antarctic Peninsula Ice Sheet: a sub-seasonal record from 2013 to 2023 based on deep-learning application to Landsat multi-spectr... by E. Loebel, E. Loebel, C. A. Baumhoer, A. Dietz, M. Scheinert, M. Horwath

“…The mean difference between automated and manual extraction is estimated at <span class="inline-formula">59.3±5.9</span> <span class="inline-formula">m</span>. …”
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Constructing a metadata knowledge graph as an atlas for demystifying AI pipeline optimization by Revathy Venkataramanan, Revathy Venkataramanan, Aalap Tripathy, Tarun Kumar, Sergey Serebryakov, Annmary Justine, Arpit Shah, Suparna Bhattacharya, Martin Foltin, Paolo Faraboschi, Kaushik Roy, Amit Sheth

“…The emergence of advanced artificial intelligence (AI) models has driven the development of frameworks and approaches that focus on automating model training and hyperparameter tuning of end-to-end AI pipelines. …”
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Hematological profile of pulmonary tuberculosis patients before and after 1 month of taking anti-TB drugs by Ririh Jatmi Wikandari, Surati, Siti Nuryani, Sistoyono

“…Analysis of blood samples is performed using the automated hematology device Sysmex (KX21-N). Data were analyzed using SPSS Version 25 with descriptive statistics and paired t-test was used to compare hematologic profiles before and after treatment. …”
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Comparison of the Efficacy of Artificial Intelligence-Powered Software in Crown Design: An In Vitro Study by Ziqiong Wu, Chengqi Zhang, Xinjian Ye, Yuwei Dai, Jing Zhao, Wuyuan Zhao, Yuanna Zheng

“…Methods: A total of 33 clinically adapted posterior crowns were involved in the standard group. AI Automate (AA) and AI Dentbird Crown (AD) used two AI-powered design software programs, while the computer-aided experienced and computer-aided novice employed the Exocad DentalCAD software. …”
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Urinary Uromodulin Levels and UMOD Variants in Black South Africans with Hypertension-Attributed Chronic Kidney Disease by Nolubabalo Unati Nqebelele, Caroline Dickens, Therese Dix-Peek, Raquel Duarte, Saraladevi Naicker

“…After DNA extraction from blood using the Maxwell® automated platform, genotyping of rs13333226 was performed using real-time PCR using TaqMan® genotyping assays. …”
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May Measurement Month 2020: An Analysis of Blood Pressure Screening Results From China by Xin Chen, Li‐Ping Zhang, Xiao‐Long Wang, Ning‐Ru Zhang, Jing Yu, Li‐Ying Xu, Tong‐She Li, Hong Luan, Juan Zhang, Ya‐Min Hu, Dan Liu, Qi‐Dong Zheng, Yan Li, Ji‐Guang Wang

“…Blood pressure was measured three times consecutively with a 1‐min interval in the sitting position, using a validated automated BP monitor (Omron HEM‐7081IT), and transmitted to a central database via a smartphone app. …”
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Investigation of 3D iris morphology early alteration after implantable collamer lens implantation by using SS-OCT by Zhengwei Zhang, Shuimiao Chang, Kaiwen Li, Jinhan Yao, Zhao Wang, Jiewei Liu, Lin Jiang, Feiyan Chai, Xiaogang Wang

“…Purpose: Using a fully automated multitask deep learning method, which enabled simultaneous segmentation and quantification of all major anterior segment structures with swept-source optical coherence tomography (SS-OCT), we aimed to investigate the three-dimensional (3D) alterations in iris morphology before and after implantable collamer lens (ICL) surgery. …”
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Incidence and temporal trends of out-of-hospital cardiac arrest in Shenzhen, China (2011–2018) by Hong Zhu, Junpeng Liu, Tianqi Yang, Yan Zhang, Yanjun Xu, Yunfeng Xu, Hao Wu, Li Li, Yufeng Luo, Cai Wen, Tao Yu

“…Bystander cardiopulmonary resuscitation (CPR) rates increased from 4.6% in 2011 to 14.5% in 2018, while bystander automated external defibrillator (AED) use remained low (0.2%). …”
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