An Intelligent Inspection and Scheduling Algorithm for Integrated Pipe Gallery Based on Cloud Robot by ZHOU Xiwei, SHANG Xiao, SHANG Xinjuan, YAN Maode, WANG Fafa

“…The algorithm has very strong exploring precision and variable function, which makes this algorithm of fewer iterations, and can effectively improve the real-time detection of pipeline leakage source in pipeline corridor. …”
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The impact of artificial intelligence on the endoscopic assessment of inflammatory bowel disease-related neoplasia by Siri A. Urquhart, Michael Christof, Nayantara Coelho-Prabhu

“…Patients with IBD face an increased risk of colorectal neoplasia due to chronic inflammation. Artificial intelligence (AI)-based systems show promise in detecting and classifying dysplasia and neoplasia during endoscopic evaluation. …”
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Automating hock wound detection in dairy cattle by W. Flanders, P.S. Basran, M. Wieland

“…To address this, we explored the automation of hock score detection using artificial intelligence. Specifically, we employed a simple U-net semantic segmentation algorithm to detect wounds on the hocks without classifying them into specific categories. …”
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Rediscovering histology – the application of artificial intelligence in inflammatory bowel disease histologic assessment by Giovanni Santacroce, Irene Zammarchi, Olga Maria Nardone, Ivan Capobianco, Miguel Puga-Tejada, Snehali Majumder, Subrata Ghosh, Marietta Iacucci

“…Integrating artificial intelligence (AI) into histologic disease assessment is transforming the management of inflammatory bowel disease (IBD). …”
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Toward New Assessment in Sarcoma Identification and Grading Using Artificial Intelligence Techniques by Arnar Evgení Gunnarsson, Simona Correra, Carol Teixidó Sánchez, Marco Recenti, Halldór Jónsson, Paolo Gargiulo

“…<b>Background/Objectives:</b> Sarcomas are a rare and heterogeneous group of malignant tumors, which makes early detection and grading particularly challenging. Diagnosis traditionally relies on expert visual interpretation of histopathological biopsies and radiological imaging, processes that can be time-consuming, subjective and susceptible to inter-observer variability. …”
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Diagnostic Performance of Artificial Intelligence in Chest Radiographs Referred from the Emergency Department by Julia López Alcolea, Ana Fernández Alfonso, Raquel Cano Alonso, Ana Álvarez Vázquez, Alejandro Díaz Moreno, David García Castellanos, Lucía Sanabria Greciano, Chawar Hayoun, Manuel Recio Rodríguez, Cristina Andreu Vázquez, Israel John Thuissard Vasallo, Vicente Martínez de Vega

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Survey on Image-Based Vehicle Detection Methods by Mortda A. A. Adam, Jules R. Tapamo

“…Vehicle detection is essential for real-world applications such as road surveillance, intelligent transportation systems, and autonomous driving, where high accuracy and real-time performance are critical. …”
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Artificial Intelligence in Chest Radiography—A Comparative Review of Human and Veterinary Medicine by Andrea Rubini, Roberto Di Via, Vito Paolo Pastore, Francesca Del Signore, Martina Rosto, Andrea De Bonis, Francesca Odone, Massimo Vignoli

“…The integration of artificial intelligence (AI) into chest radiography (CXR) has greatly impacted both human and veterinary medicine, enhancing diagnostic speed, accuracy, and efficiency. …”
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Quantitative assessment of colour fundus photography in hyperopia children based on artificial intelligence by Yuan Zhang, Yingting Zhu, Zhirong Wang, Yue Xiao, Yehong Zhuo, Zhidong Li, Guitong Ye, Jianqi Chen, Ruiyu Luo, Rui Xie, Jinan Zhan

“…Fundus parameters, such as optic disc area and mean vessel diameter, were automatically and quantitatively detected using AI. Significant variables (p&lt;0.05) in the univariate analysis were included in a stepwise multiple linear regression.Results Overall, 324 children were included, 172 with low and 152 with moderate-to-high hyperopia. …”
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Artificial Intelligence Models for Pediatric Lung Sound Analysis: Systematic Review and Meta-Analysis by Ji Soo Park, Sa-Yoon Park, Jae Won Moon, Kwangsoo Kim, Dong In Suh

“…Auscultation of lung sounds is a key diagnostic tool but is prone to subjective variability. The integration of artificial intelligence (AI) and machine learning (ML) with electronic stethoscopes offers a promising approach for automated and objective lung sound. …”
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Artificial Intelligence for the Prenatal Ultrasound Diagnosis of Congenital Heart Disease: A Narrative Review by Arianna Riva, Mariachiara Guerra, Stefania Di Gangi, Paola Veronese, Vladimiro L Vida

“…Conclusions: Artificial intelligence seems to be a promising tool to help clinicians in daily clinical activity: it can automate the detection of standard cardiac planes and assist in identifying abnormalities. …”
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Artificial Intelligence in Breast Cancer Diagnosis and Treatment: Advances in Imaging, Pathology, and Personalized Care by Petar Uchikov, Usman Khalid, Granit Harris Dedaj-Salad, Dibya Ghale, Harney Rajadurai, Maria Kraeva, Krasimir Kraev, Bozhidar Hristov, Mladen Doykov, Vanya Mitova, Maria Bozhkova, Stoyan Markov, Pavel Stanchev

“…However, challenges include data variability, ethical concerns, and real-world validation. …”
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Utilizing Liner Artificial Intelligence Image Recognition for identifying Skin Disorders in Skin of Color by Ryan Scheinkman, Alexia Vignau, Ricardo Cooke, Daniel Green, Philippe Jean-Pierre, Keyvan Nouri

“…Technologies, such as artificial intelligence, offer a potential avenue to improve medical care to marginalized communities. …”
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Image data-driven intelligent recognition of permafrost strength and feature visualization based analysis by Zhaoming YAO, Xun WANG, Hang WEI, Xiaolong WANG

“…A convolutional neural network-based image data-driven intelligent recognition method for frozen soil strength is proposed. …”
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Master protocols in vocal biomarker development to reduce variability and advance clinical precision: a narrative review by Ayush Kalia, Micah Boyer, Guy Fagherazzi, Jean-Christophe Bélisle-Pipon, Yael Bensoussan

“…Utilizing artificial intelligence, machine learning, or traditional acoustic analysis, vocal biomarkers have shown promise in detecting and monitoring conditions such as respiratory disorders and cognitive impairments. …”
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Risk evaluation of metro tunnel shield construction based on game variable weight extension cloud theory by Xiaowen Sun, Lirong Wu, Dun Wu

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Performance Analysis of Reconfigurable Intelligent Surface-Assisted Underwater Wireless Optical Communication Systems by Qi Zhang, Dian-Wu Yue, Xian-Ying Xu

“…In the RIS-assisted UWOC systems with intensity modulation and direct detection (IM-DD), we apply the approximate distribution of the sum of Gamma-Gamma random variables to derive the probability density function (PDF) of the instantaneous received signal-to-noise ratio (SNR) for the first time. …”
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Using Lyα Absorption to Measure the Intensity and Variability of z ∼ 2.4 Ultraviolet Background Light by Laurel H. Weiss, Karl Gebhardt, Dustin Davis, Erin Mentuch Cooper, Maja Lujan Niemeyer, Mahdi Qezlou, Mahan Mirza Khanlari, Robin Ciardullo, Daniel Farrow, Eric Gawiser, Simon Gazagnes, Caryl Gronwall, Gary J. Hill, Donald P. Schneider

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Is crossed laterality associated with academic achievement and intelligence? A systematic review and meta-analysis. by Marta Ferrero, Gillian West, Miguel A Vadillo

“…Taken collectively, the results of these studies do not support the claim that there is a reliable association between crossed laterality and either academic achievement or intelligence. Along with this, we detected important shortcomings in the literature, such as considerable heterogeneity among the variables used to measure laterality and among the tasks utilized to measure the outcomes. …”
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Intelligent Manufacturing in Wine Barrel Production: Deep Learning-Based Wood Stave Classification by Frank A. Ricardo, Martxel Eizaguirre, Desmond K. Moru, Diego Borro

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