Diagnostic Evaluation of Foreign Body Aspiration in Children by Ali Onur Erdem, Barlas Etensel, Mesut Yazıcı, Sezen Karaca Özkısacık

“…The peak incidence was 18 months. The rate of negative bronchoscopy was 30.8% and 87.3% of these patients were younger than 3 years. …”
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Optimal diagnostic strategy for coronavirus disease 2019 detection in liver transplant recipients: Critical review of available evidence by Michael T Olson, Tania Triantafyllou, Saurabh Singhal

“…Existing diagnostic approaches are marred by unreasonably high false-negative rates. Given the concerns for false-negative results, we performed a narrative review in effort to compile evidence for and against an optimal diagnostic algorithm for detecting COVID-19 in liver transplant recipients. …”
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Facial emotion based smartphone addiction detection and prevention using deep learning and video based learning by C. Joseph, P. Uma Maheswari

“…Additionally, face emotion detection algorithms tuned with MnasNet-Teaching Learning Based Optimization (TLBO) and Convolution Neural Networks (CNN)-Cuckoo Search Optimization (CSO) are employed for accurate emotion recognition. …”
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HiGMA-DADCN: Hirudinaria granulosa multitropic algorithm optimised double attention enabled deep convolutional neural network for psoriasis classification by Soumya C S, Jayanna H S

“…Common limitations include inaccurate classification, small or insufficient datasets, and high rates of false positives and false negatives. To overcome these challenges, this study introduces a novel approach: the Hirudinaria granulosa multitropic algorithm-based Double Attention Deep Convolutional Neural Network (HiGMA-DADCN). …”
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Express Immunochromatographic Detection of Rotavirus and Adenovirus Antigens in Pre-Hospital Differential Diagnosis of Acute Abdominal Pain in Children by Ekaterina A. Romanova, Leyla S. Namazova-Baranova, Elena Yu. Dyakonova, Aleksey Yu. Romanov, Kazbek S. Mezhidov, Zharadat I. Dohshukaeva

“…The assessment of the condition of a child with acute abdominal pain and a diagnostic search algorithm at the prehospital stage determine the further routing of the patient and the timeliness of healthcare delivery. …”
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Artificial intelligence-assisted capsule endoscopy for detecting lesions in Crohn’s disease: a systematic review and meta-analysis by Yuling Bin, Rumei Peng, Yaqian Lee, Zhijie Lee, Yang Liu

“…Meta-regression analysis further revealed that AI algorithm type, study population size, and study design might be key sources of heterogeneity.ConclusionThis study demonstrates the significant potential of AI technology in assisting endoscopists in detecting and identifying CD patients through capsule endoscopy. …”
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KF-NIPT: K-mer and fetal fraction-based estimation of chromosomal anomaly from NIPT data by Dongin Kim, Ji Yeon Sohn, Jin Hee Cho, Ji-Hye Choi, Gwi-young Oh, Hyun Goo Woo

“…However, current methods to detect anomaly from maternal cell-free DNAs (cfDNAs) that are based on the sequence read counts calculating z-scores face challenges with false positives and negatives. …”
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Multiscale Sample Entropy-Based Feature Extraction with Gaussian Mixture Model for Detection and Classification of Blue Whale Vocalization by Oluwaseyi Paul Babalola, Olayinka Olaolu Ogundile, Vipin Balyan

“…Additionally, MSE is applied to the Gaussian mixture model (GMM) for blue whale call detection and classification. The performance of the proposed MSE-GMM algorithm is experimentally assessed and benchmarked against traditional methods, including principal component analysis (PCA), wavelet-based feature (WF) extraction, and dynamic mode decomposition (DMD), all combined with the GMM. …”
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Validation of ICD‐10 Consensus Code Set for Cirrhosis Detection Using Electronic Health Records in an Asian Population by Jason Pik‐Eu Chang, Hong‐Yi Lin, Pooi‐Ling Loi, Jeanette Pei‐Xuan Ng, Marianne De Roza, Rahul Kumar, Hiang‐Keat Tan, Chanda Kendra Ho, Wei‐Quan Teo, Amber Hwa Hwa Chung, Prema Raj

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A Cross-Stage Focused Small Object Detection Network for Unmanned Aerial Vehicle Assisted Maritime Applications by Gege Ding, Jiayue Liu, Dongsheng Li, Xiaming Fu, Yucheng Zhou, Mingrui Zhang, Wantong Li, Yanjuan Wang, Chunxu Li, Xiongfei Geng

“…Finally, to enhance the model’s robustness, WIoUv2 loss function was employed, ensuring a balanced treatment of positive and negative samples. The CFSD-UAVNet model was evaluated on the publicly available SeaDronesSee maritime dataset and compared with other cutting-edge algorithms. …”
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An evaluation of single and multi-date Landsat image classifications using random forest algorithm in a semi-arid savanna of Ghana, West Africa by Eric Adjei Lawer

“…Accurate detection and quantification of land use and land cover (LULC) change is critical for understanding landscape patterns in heterogeneous semi-arid environments. …”
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Two-dimensional Sparse Antenna Array of a Passive Coherent Radar using a Parametric Algorithm of Signal Processing via the Section Method by V. M. Kutuzov, V. I. Veremyev, M. A. Ovchinnikov, G. V. Komarov

“…The section method based on the modified parametric Burg algorithm is a promising and relevant method for constructing directional characteristics. …”
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Refining malaria diagnosis in high-transmission areas: a dual-approach with rapid diagnostic tests (RDTs) and dbPCR-NALFIA by Diane Yirgnur Some, Francois Kiemde, Hermann Sorgho, Marc Christian Tahita, Antonia Windkouni Bere, Abdoulaye Ouedraogo, Souleymane Vivien Banao, Kouadjo Bagre, Gérémie Djiri, Georges Some, Toussaint Rouamba, Yeri Esther Hien, Aly Savadogo, Henk D. F. H. Schallig, Halidou Tinto

“…Following confirmation of undetermined sequential interpretation with dbPCR-NALFIA, the sequential algorithm had a sensitivity of 97.9%, a specificity of 94.8%, a positive predictive value of 97.2%, and a negative predictive value of 96.1%. …”
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AI-Assisted Detection for Early Screening of Acute Myeloid Leukemia Using Infrared Spectra and Clinical Biochemical Reports of Blood by Chuan Zhang, Jialun Li, Wenda Luo, Sailing He

“…Early detection and accurate diagnosis of leukemia pose significant challenges due to the disease’s complexity and the need for minimally invasive methods. …”
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Methodology for Using Multi-Temporal Landsat Images to Monitor Urban Growth of Kirkuk Governorate by Tabark Y. Gehad, Nejat Q. Omer, Nada S. Abdulmajeed

“… The growth of cities around the world creates difficulties for governments due to the strain it puts on resources and the negative impact on the environment and living conditions for residents. …”
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Enhancing the reliability and accuracy of wireless sensor networks using a deep learning and blockchain approach with DV-HOP algorithm for DDoS mitigation and node localization by Bhupinder Kaur, Deepak Prashar, Leo Mrsic, Ahmad Almogren, Ateeq Ur Rehman, Ayman Altameem, Seada Hussen

“…The system is evaluated according to different performance measures like localization error, accuracy ratio, average localization error (ALE), probability of location, false positive rate (FPR), false negative rate (FNR), energy utilization, network stability, node failure rate, node recovery rate, and malicious node detection rate. …”
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Smartphone sensor-based depression detection in campus environments: a proof-of-concept study with small-sample behavioral analysis by Yichen Bai, Yueze Liu, Yang Zhang, Amr Tolba

“…Findings showed negative correlations between PHQ-9 scores and dietary regularity, bedtime, and physical activity levels.DiscussionThis pioneering study highlights smartphone sensors' potential for early depression detection in Chinese higher education, supporting non-invasive mental health interventions.…”
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Artificial intelligence as a transforming factor in motility disorders–automatic detection of motility patterns in high-resolution anorectal manometry by Miguel Mascarenhas, Francisco Mendes, Joana Mota, Tiago Ribeiro, Pedro Cardoso, Miguel Martins, Maria João Almeida, João Rala Cordeiro, João Ferreira, Guilherme Macedo, Cecilio Santander

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Early detection and analysis of accurate breast cancer for improved diagnosis using deep supervised learning for enhanced patient outcomes by Mandika Chetry, Ruiling Feng, Samra Babar, Hao Sun, Imran Zafar, Mohamed Mohany, Hassan Imran Afridi, Najeeb Ullah Khan, Ijaz Ali, Muhammad Shafiq, Sabir Khan

“…Early detection of breast cancer (BC) is essential for effective treatment and improved prognosis. …”
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Detection of IgM, IgG and IgA against pertussis in pregnant women in I - II - III trimesters by T. A. Skirda, O. Yu. Borisova, N. T. Gadua, A. S. Pimenova, I. I. Mekhant'ev, Yu. I. Stepkin, I. M. Degtyareva, S. V. Bredihin, M. S. Petrova, A. B. Borisova, A. V. Safronova, S. Yu. Kombarova

“…The detection of IgM, IgG and IgA made it possible to detect the active infection process in 11 (3,9%) pregnant women by elevated level of IgA. …”
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