Comparing the performance of OvaCyte and traditional techniques in detecting canine gastrointestinal parasites by Nagwa Elghryani, Conor G. McAloon, Geetika Lahan, Trish McOwan, Theo de Waal

“…While several diagnostic techniques are available to detect parasitic infection, they all vary in sensitivity and specificity. …”
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Correlating Patient Symptoms and CT Morphology in AI-Detected Incidental Pulmonary Embolisms by Selim Abed, Lucas Brandstetter, Klaus Hergan

“…One untreated case experienced the recurrence of pulmonary embolism. Despite frequent detection, many IPEs were clinically silent. <b>Conclusions</b>: AI can effectively detect IPEs that are missed on initial review. …”
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Antarctic Sea ice distribution detection based on improved ant colony algorithm by Xingdong Wang, Xingdong Wang, Xingdong Wang, Zehao Sun, Zehao Sun

“…In order to better apply the ant colony algorithm to sea ice distribution detection, an improved ant colony algorithm was proposed, which improves the selection of initial clustering centers and the update of pheromone volatilization factors in the ant colony algorithm. …”
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Optimizing diabetic retinopathy detection with electric fish algorithm and bilinear convolutional networks by Udayaraju Pamula, Venkateswararao Pulipati, G. Vijaya Suresh, M. V. Jagannatha Reddy, Anil Kumar Bondala, Srihari Varma Mantena, Ramesh Vatambeti

“…Manual diagnosis is labor-intensive and prone to inaccuracies, highlighting the need for automated, accurate detection methods. This study proposes a novel approach for early DR detection by integrating advanced machine learning techniques. …”
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Detection of canine parvovirus type 2c (CPV-2c) in Palestine by Ibrahim M Alzuheir, Adnan F Fayyad, Belal Y Abu Helal, Hatem A Atalla, Nasr H Jalboush

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Adaptive deep SVM for detecting early heart disease among cardiac patients by S. N. Netra, N. N. Srinidhi, E. Naresh

“…Further, the optimally selected weighted features are fed into the detection phase. In this phase, an Adaptive Deep Support Vector Machine (AD-SVM) is employed to detect heart diseases. …”
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BACAD: AI-based framework for detecting vertical broken access control attacks by Ahmed Anas, Ayman A. Alhelbawy, Salwa El Gamal, Basheer Youssef

“…The learning phase includes BACAD initial configuration and application user roles traffic generation used for AI model training. …”
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ASHM-YOLOv9: A Detection Model for Strawberry in Greenhouses at Multiple Stages by Yan Mo, Shaowei Bai, Wei Chen

“…Haar wavelet downsampling (HWD) was applied to optimize the Adaptive Downsampling module (Adown) of the initial model, thereby increasing the precision of object detection. …”
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Case Report: subhepatic appendicitis complicated by hepatic abscess as the initial presentation of primary diffuse large B-cell lymphoma of the appendix: first reported case by Hao Chen, Miao Yu, Zhanping Chang, Yang Li, Lei Fan, Dake Shang, Huili Zhang

“…Here, we report an unusual case of a 56-year-old male who initially presented with right abdominal pain and fever, misdiagnosed as bilateral kidney stones and urinary tract infection. …”
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Preoperative chemotherapy plus immune checkpoint inhibitors as conversion therapy in pancreatic cancer patients with initially unresectable liver-limited metastases: a case report by Li Xiao, Haoqi Zhang, Chunlu Tan, Xubao Liu, Zhenjiang Zheng

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Joint analysis of germline genetic data from over 29,000 cases with suspected hereditary breast and ovarian cancer (HBOC) as part of the NASGE initiative by Jan Henkel, Andreas Laner, Melanie Locher, Tobias Wohlfrom, Birgit Neitzel, Kerstin Becker, Teresa Neuhann, Angela Abicht, Verena Steinke-Lange, Barbara Klink, Birgit Eichhorn, Winfried Schmidt, Daniel Berner, Anna Teubert, Anne Holtorf, Sarah Heinrich, Gabriele Wildhardt, Martin Schulze, Laura von der Heyden, Konstanze Hörtnagel, Daniela Steinberger, Saskia Kleier, Peter Lorenz, Ralf Glaubitz, Saskia Biskup, Elke Holinski-Feder

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PREDICTIVE MODELS FOR EARLY DETECTION OF PARKINSON’S DISEASE: A MACHINE LEARNING APPROACH by S. Jeyantha Jafna Juliet, D. Jasmine David, J. S. Raj Kumar, Angelin Jeba P., R. Golden Nancy, M. Selvarathi, T. Jemima Jebaseeli

“…Additionally, integrating wearable sensors and mobile health technologies further enhances the feasibility of continuous monitoring and early detection, providing patients and healthcare practitioners with the tools they need to manage PD proactively. …”
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Rare detection of Wolbachia in Aedes aegypti and in Anopheles gambiae complex from Botswana by Ms Faith Tariro Hungwe, Mr Freddie Katlego Lame Rakwadi, Dr Sikhulile Moyo, Prof Giacomo Paganotti

“…DNA was extracted from individual mosquitoes or pools, and Wolbachia was detected using nested-PCR targeting the 16S rDNA gene. …”
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No microorganism was detected in amniotic fluid of healthy pregnancies from the second trimester to the delivery by Yu Liu, Jingmei Ma, Xiang Li, Haijuan Zhao, Qubo Ai, Lanying Zhang, Yulong Tong, Lingzhen Meng, Huixia Yang

“…However, the exact timing of initial microbial colonization remains a subject of ongoing debate. …”
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YOLOv8n-CSE: A Model for Detecting Litchi in Nighttime Environments by Hao Cao, Gengming Zhang, Anbang Zhao, Quanchao Wang, Xiangjun Zou, Hongjun Wang

“…The accurate detection of litchi fruit cluster is the key technology of litchi picking robot. …”
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A Model for Fat Content Detection in Walnuts Based on Near-Infrared Spectroscopy by Langqin Luo, Honghua Zhang, Yu Wang, Jianliang Zhang, Rui Zhang, Shan Gao, Yuanyong Dian, Zijin Bai, Chunhui Feng, Ze Zhang

“…Therefore, a technical framework for walnut kernel detection based on near-infrared spectroscopy and the technical standards for ‘Wen 185’ are urgently needed. …”
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FUR-DETR: A Lightweight Detection Model for Fixed-Wing UAV Recovery by Yu Yao, Jun Wu, Yisheng Hao, Zhen Huang, Zixuan Yin, Jiajing Xu, Honglin Chen, Jiahua Pi

“…Firstly, aiming at the performance bottleneck of existing models, the Parallel Backbone is proposed, which captures local features and global semantic information by sharing the initial feature extraction module and the double-branch structure, respectively, and uses the progressive fusion mechanism to realize the adaptive integration of multiscale features so as to balance the accuracy and lightness of target detection. …”
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Graph-Based COVID-19 Detection Using Conditional Generative Adversarial Network by Imran Ihsan, Azhar Imran, Tahir Sher, Mahmood Basil A. Al-Rawi, Mohammed A. Elmeligy, Muhammad Salman Pathan

“…COVID-19, the disease induced by the virus, causes severe respiratory complications, necessitating advanced diagnostic tools for early detection. Recent research indicates the potential of radiographic imaging in unravelling critical insights into the characteristics of this formidable pathogen. …”
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Using multiple drug similarity networks to promote adverse drug event detection by Biswajit Padhi, Ruoqi Liu, Yuedi Yang, Xueqiao Peng, Lang Li, Pengyue Zhang, Ping Zhang

“…We first construct multiple drug similarity networks using a range of drug features. We then calculate initial drug safety signals using conventional signal detection algorithms. …”
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Eating disorders: Involvement of pediatricians in their prevention, early detection, evaluation and multidisciplinary management by Raquel Jiménez García, Covadonga Canga-Espina, Andrea Múñoz Domenjó, Gemma Ochando Perales, Azucena Díez-Suárez

“…However, the high demand for services may delay access to specialized care, which makes it necessary for pediatricians to adopt a proactive role.Pediatricians play a key role in the prevention of eating disorders by promoting a healthy relationship with food and body image as well as in their detection and initial management, enabling the implementation of early interventions to stabilize the patient while coordinating specialized care. …”
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