Improvement in the detection, diagnosis, and early treatment of chronic kidney disease in Spain. The IntERKit project by José Luis Górriz, Fran Adán Gil, Manuel A. Botana López, Antonio Buño Soto, Francisco José Campos Cabrera, Angeles Cisneros, Silvia Cobo Guerrero, María Dolores Conejos, Isabel Egocheaga Cabello, M. Concepción Fernández Planelles, Lisardo García-Matarín, Natalia Jiménez, Juan Carlos Julián Mauro, David León Jiménez, Daniel Martínez Gamote, Pilar Mazón Ramos, Alberto Ortiz, Gemma Palau, Julia Quevedo Rivera, J. Emilio Sánchez-Álvarez, Rita Tristancho Ajamil, Cristina Varga Martín, Roser Vallés Fernández

“…Several publications have shown that, to date, neither the detection of CKD nor its initial management are optimal. …”
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Occult prostate cancer detected with 18F-fluorocholine positron emission tomography/computed tomography by Wanying Xie, Andrew Eik Tan, Christopher Cheng, Anthony Goh Whatt

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DETECTING CHANGES IN COMFORT, PAIN, AND MOBILITY OVER CLINICAL MILESTONES FOR INDIVIDUALS WITH LOWER LIMB LOSS by Brittany Pousett, Charlene C Harasym, Malena Sofia Rapaport, Tessa Richardson, Jesse Spellen, David W Moe, William C Miller

“…Data were collected at four milestone time points: (1) Baseline and (2) Discharge from Rehabilitation for those in initial prosthetic rehabilitation, and (3) Initial Evaluation and (4) Definitive Delivery for those receiving a replacement socket. …”
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Human pegivirus detected in patient with reversible severe encephalitis and axillary lymphadenopathy: a case report by Jianfeng He, Linwei Yang, Chen Niu

“…Radiological imaging demonstrated encephalitis and lymphadenopathy. Initial analysis of blood and cerebrospinal fluid (CSF) failed to reveal specific etiology. …”
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POTENTIAL FOR EARLY DETECTION OF POWDERY MILDEW IN OKRA UNDER FIELD CONDITIONS USING THERMAL IMAGING by Yavuz Selim ŞAHİN, Alperen Kaan BÜTÜNER, Hilal ERDOĞAN

“…One such technological innovation, thermal imaging technology, has emerged as a promising tool for the early detection of plant diseases. Infections often induce stress in plants, leading to either elevated or reduced temperatures at the point of infection. …”
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Quantitative study on weak magnetic detection defects of metal structure based on IWOA-BP algorithm by FAN Meng, TONG Bo, GAO Chen, YAO Zhongyuan, ZHANG Yu, HU Bo

“…Metal structures in service are prone to crack defects under tensile and compressive fatigue load.In order to realize quantitative detection of metal structures’ crack defects, a quantitative analysis method of metal structures’ weak magnetic detection based on back propagation (BP) neural network was studied. …”
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AI-ming backwards: Vanishing archaeological landscapes in Mesopotamia and automatic detection of sites on CORONA imagery. by Alessandro Pistola, Valentina Orrù, Nicolò Marchetti, Marco Roccetti

“…The results were twofold and surprising. First, the detection precision obtained on the area of interest increased sensibly: in particular, the Intersection-over-Union (IoU) values, at the image segmentation level, surpassed 85%, while the general accuracy in detecting archeological sites reached 90%. …”
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Successful Detection of Unrecognized Rickettsia typhi in Pregnancy Using Cell-Free Next-Generation Sequencing by Irene A. Stafford, Fernando H. Centeno, Mayar Al Mohajer, George Parkerson, Laila Woc-Colburn, Angelica Janice Burgos-Lee, Martha Rac, James Dunn, Kenneth Muldrew

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Multi‐Disease Detection in Retinal Imaging Using VNet with Image Processing Methods for Data Generation by Samad Azimi Abriz, Mansoor Fateh, Fatemeh Jafarinejad, Vahid Abolghasemi

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Detecting Presymptomatic Infection Is Necessary to Forecast Major Epidemics in the Earliest Stages of Infectious Disease Outbreaks. by Robin N Thompson, Christopher A Gilligan, Nik J Cunniffe

“…We focus on whether or not a major outbreak (i.e. an epidemic that will go on to infect a large number of individuals) can be predicted reliably soon after initial cases of disease have appeared within a population. …”
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Features of the Application of the Detection Algorithm Based on the Background Subtraction Method in the Scanning Optoelectronic Surveillance System by E. I. Mikhnionok, A. V. Khizniak

“…However, the application of this detection algorithm in a scanning optoelectronic system requires the solution of the following problematic issues: the exclusion of false highlighting of the areas of the processed image in the foreground when transferring the sensor field of view; the elimination of errors in the initial values of the parameters of a mixture of Gaussian distributions. …”
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Detection and Counting Model of Soybean at the Flowering and Podding Stage in the Field Based on Improved YOLOv5 by Yaohua Yue, Wei Zhang

“…Based on the YOLOv5 detection model, a microscale detection layer is added and the size of the initial anchor box is improved to enhance feature expression ability. …”
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Artificial intelligence-based framework for early detection of heart disease using enhanced multilayer perceptron by Monir Abdullah

“…Precise and prompt detection of human heart disease can assist in avoiding heart failure within the initial stages and enhance patient survival. …”
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A Novel Distributed Online Anomaly Detection Method in Resource-Constrained Wireless Sensor Networks by Zhiguo Ding, Haikuan Wang, Minrui Fei, Dajun Du

“…In this paper, a novel distributed online anomaly detection method in resource-constrained WSNs was proposed. …”
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Automated Soma Detection in Whole-Brain Imaging via Post-Tracing Multi-Furcation Morphometry by Gu Xiaoqin

“…In this study, we propose a novel, automated pipeline that leverages local morphometry features, particularly multi-furcation clusters, to detect soma after initial fiber tracing in high- resolution, large-scale whole mouse brain images. …”
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Privacy-Preserving Emotion Detection: Evaluating the Trade-Off Between K-Anonymity and Model Performance by Alejandro de Leon Langure, Mahdi Zareei

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Driving Risk Detection Model of Deceleration Zone in Expressway Based on Generalized Regression Neural Network by Weiwei Qi, Zhexuan Wang, Ruru Tang, Linhong Wang

“…Drivers’ mistakes may cause some traffic accidents, and such accidents can be avoided if prompt advice could be given to drivers. So, how to detect driving risk is the key factor. Firstly, the selected parameters of vehicle movement are reaction time, acceleration, initial speed, final speed, and velocity difference. …”
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Comprehensive Framework for Tuberculosis Detection Using Deep Learning and Image Processing in Whole-Slide Images by Terisara Micaraseth, Shanop Shuangshoti, Kantawatchr Chaiprabha, Natcha Wanpiyarat, Poonchavist Chantranuwatana, Gridsada Phanomchoeng

“…Recent technological advancements have improved TB detection, particularly through the application of deep learning (DL) techniques. …”
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Efficient and Effective Detection of Repeated Pattern from Fronto-Parallel Images with Unknown Visual Contents by Hong Qu, Yanghong Zhou, P. Y. Mok, Gerhard Flatz, Li Li

“…The effective detection of repeated patterns from inputs of unknown fronto-parallel images is an important computer vision task that supports many real-world applications, such as image retrieval, synthesis, and texture analysis. …”
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GCN-based unsupervised community detection with refined structure centers and expanded pseudo-labeled set. by Bing Guo, Liping Deng, Tao Lian

“…Considering them as pseudo-labeled nodes, graph convolutional network (GCN) is recently exploited to realize unsupervised community detection. However, the results are highly dependent on initial structure centers. …”
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