Network meta-analysis of intraocular lens power calculation formulas based on artificial intelligence in short eyes by Xin Zheng, Meng Li, Zhao-Xing Guo, Zhi-Yong Tian, Jing-Shang Zhang, Ying-Yan Mao, Peng Zhao, Zhong-Yan Li, Xiu-Hua Wan

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A naked-eye biosensing system based on one-pot RPA-CRISPR/Cas12a driver G4-hemin self-assembly for Mycobacterium tuberculosis by Ting Yuan, Ting Yuan, Jianbo Yuan, Jianbo Yuan, Jian Huang, Jian Huang, Nana Li, Nana Li, Huan Cai, Yan Yang, Juan Li, Rui Chen, Xun Min, Xun Min

“…Clinical validation using 104 patient samples demonstrated high concordance with standard diagnostic methods. This approach combines the advantages of recombinase polymerase amplification (RPA), CRISPR/Cas12a specificity, and G4-hemin DNAzyme-based colorimetric signal amplification, enabling simple, equipment-free visual detection. …”
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Deep Learning Approaches for Continuous Sign Language Recognition: A Comprehensive Review by Asma Khan, Seyong Jin, Geon-Hee Lee, Gul E. Arzu, L. Minh Dang, Tan N. Nguyen, Woong Choi, Hyeonjoon Moon

“…Sign language uses hand gestures as a visual mode of communication, along with body actions and facial expressions. …”
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GERD-associated laryngeal granuloma: a series of clinical observations. Case report by Svetlana V. Starostina, Olga V. Tashchyan, Marina G. Mnatsakanyan, Konstantin A. Nazarov, Liana S. Karapetyan, Polina A. Loskutova, Irina V. Kuprina

“…Diagnosis of laryngopharyngeal reflux includes analysis of the patient's life history, registration of complaints using questionnaires, assessment of the clinical and functional state of the larynx using visual analog scales of reflux signs, the use of instrumental methods and laboratory tests. …”
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Competency self-assessment for a learning-based autonomous aircraft system by Nicholas Conlon, Aastha Acharya, Jamison McGinley, Trevor Slack, Camron A. Hirst, Marissa D’Alonzo, Mitchell R. Hebert, Christopher Reale, Eric W. Frew, Rebecca Russell, Nisar R. Ahmed

“…A central challenge to this new paradigm of non-co-located mission supervision is developing systems which have explainable and trustworthy autonomy and internal decision-making processes.MethodsCompetency self-assessments are methods that use introspection to quantify and communicate important information pertaining to autonomous system capabilities and limitations to human supervisors. …”
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Explainable AI in medical imaging: an interpretable and collaborative federated learning model for brain tumor classification by Qurat-ul-ain Mastoi, Shahid Latif, Sarfraz Brohi, Jawad Ahmad, Abdulmajeed Alqhatani, Mohammed S. Alshehri, Alanoud Al Mazroa, Rahmat Ullah

“…This study proposes a collaborative federated learning model (CFLM) with explainable artificial intelligence (XAI) to mitigate existing problems using state-of-the-art methods.MethodsThe proposed method addresses four class classification problems to identify glioma, meningioma, no tumor, and pituitary tumors. …”
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Label semantics and image features aware remote sensing sample retrieval from multi-source datasets for AI-enabled remote sensing monitoring by XingTao Ren, XingTao Ren, Yan Ma, YiXin Zhou, YiXin Zhou

“…By integrating label semantics and visual features, the method enhances the accuracy and efficiency of sample dataset retrieval and integration. …”
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Burns and donor site treatment using allogeneic type I collagen by E. A. Zhirkova, A. V. Sachkov, T. G. Spiridonova, N. V. Borovkova, A. O. Medvedev, N. E. Pidchenko, M. A. Migunov, S. V. Frolov, M. E. Makarova, O. V. Troshina, I. N. Ponomarev, A. S. Mironov, M. M. Nikolayeva

“…Introduction. The search for methods to reduce the time of treatment of burns and wounds of the donor sites currently remains relevant.Aim. …”
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A pathology-attention multi-instance learning framework for multimodal classification of colorectal lesions by Fanglei Fu, Xuemei Zhang, Zhaoxuan Wang, Luxi Xie, Mingxi Fu, Jing Peng, Jianfeng Wu, Zhe Wang, Tian Guan, Yonghong He, Jin-Shun Lin, Lianghui Zhu, Wenbin Dai

“…Although deep learning has shown promise in classifying whole slide images (WSIs) in digital pathology, existing weakly supervised methods struggle to fully model the multimodal diagnostic process, which involves both visual feature analysis and pathological knowledge. …”
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Image dehazing algorithm based on deep transfer learning and local mean adaptation by Dongyang Shi, Sheng Huang

“…Abstract In recent years, haze has significantly hindered the quality and efficiency of daily tasks, reducing the visual perception range. Various approaches have emerged to address image dehazing, including image enhancement, restoration, and deep learning-based dehazing methods. …”
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Clinical efficacy comparison of Mazor X robot-assisted and traditional freehand techniques in the treatment of atlantoaxial fracture and dislocation by Ke Wang, Houkun Li, Liang Yan, Haiping Zhang, Xuefang Zhang, Dingjun Hao

“…Patients were divided into two groups based on the method of screw placement: the freehand group (n = 36) and the robot-assisted group (n = 23). …”
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Predicting Treatment Outcomes in Patients with Low Back Pain Using Gene Signature-Based Machine Learning Models by Youzhi Lian, Yinyu Shi, Haibin Shang, Hongsheng Zhan

“…The SHapley Additive exPlanations (SHAP) method was used to visualize the contribution of core genes to model performance, highlighting their roles in predicting treatment outcomes. …”
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Transformasi Lontar Babad Lombok Menuju Digitalisasi Berbasis Natural Gradient Flexible (NGF) by Muhammad Tajuddin Anwar, Syahroni Hidayat, Ahmat Adil

“…The enhanced image quality was measured, MSE and PSNR methods were used to measure the similarity level, and the Entropy and SSIM method were used to measure the information and visual perspective. …”
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Computer-Modeling System of Agronomist’s Labor Functions by I. E. Bystrenina

“…The designed system models were implemented in the C# programming language in the Visual Studio development environment.Results. The study revealed the need to introduce new forms, methods and means of teaching into the content of the modern educational process, the implementation of which, largely, is carried out using information technology. …”
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Chronic Endophthalmitis after Cataract Phacoemulsification. Сlinical Case by I. A. Frolychev, N. P. Pashtaev, N. A. Pozdeyeva, D. V. Sycheva

“…Surgical treatment according the described method was rendered to the patient. In the postoperative period we saw stable visual functions, uncorrected visual acuity was 0.6, corrected — 0.8. …”
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Lighting preferences of Iberian sausages for Spanish observers by Okuda Shino, Nagata Masahito, Okajima Katsunori, Rodríguez-Pulido Francisco José, Heredia Francisco José, Ortega-Velázquez Rocío, Gaviño-Nadal María Dolores, Casado-González Jesús, García Pedro Antonio, Rivas María José, Tejada-Casado María, Yebra Ana, Melgosa Manuel

“…Visual results from the pair comparison and magnitude estimation psychophysical methods used in our experiment showed a high correlation (Pearson’s linear correlation coefficient r = 0.915). …”
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Integrating predictive coding and a user-centric interface for enhanced auditing and quality in cancer registry data by Hong-Jie Dai, Chien-Chang Chen, Tatheer Hussain Mir, Ting-Yu Wang, Chen-Kai Wang, Ya-Chen Chang, Shu-Jung Yu, Yi-Wen Shen, Cheng-Jiun Huang, Chia-Hsuan Tsai, Ching-Yun Wang, Hsiao-Jou Chen, Pei-Shan Weng, You-Xiang Lin, Sheng-Wei Chen, Ming-Ju Tsai, Shian-Fei Juang, Su-Ying Wu, Wen-Tsung Tsai, Ming-Yii Huang, Chih-Jen Huang, Chih-Jen Yang, Ping-Zun Liu, Chiao-Wen Huang, Chi-Yen Huang, William Yu Chung Wang, Inn-Wen Chong, Yi-Hsin Yang

“…Extensive evaluations, including comparisons with state-of-the-art methods, were conducted using a lung cancer dataset comprising 1428 patients from the medical center. …”
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APPLICATION OF INVERSE DISTANCE WEIGHTED (IDW) INTERPOLATION IN DETERMINING WAVE HEIGHT IN THE WATERS OF THE SUNDA STRAIT by Willdan Aprizal Arifin, Anton Daud, Ramzan Pradana Maulsyid, Raisa Maulidia, Lukman Handyanto, Rifki Andreana Sutrisno

“…The application of the IDW method successfully visualizes the spatial distribution of wave height in detail, thereby supporting decision-making in risk mitigation and shipping safety in the Sunda Strait.…”
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Multi-Focus Image Fusion Based on Dual-Channel Rybak Neural Network and Consistency Verification in NSCT Domain by Ming Lv, Sensen Song, Zhenhong Jia, Liangliang Li, Hongbing Ma

“…In multi-focus image fusion, accurately detecting and extracting focused regions remains a key challenge. Some existing methods suffer from misjudgment of focus areas, resulting in incorrect focus information or the unintended retention of blurred regions in the fused image. …”
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Risk factor analysis and predictive nomogram development for in-hospital mortality in patients with ST-segment elevation myocardial infarction by Tahereh Roostami, Maryam Farhadian, Amirhossein Yazdi, Hossein Mahjub

“…Four different feature selection methods were used to select common important variables in the prediction model: Boruta, Recursive Feature Elimination (RFE), Random Forest (RF) and LASSO. …”
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