The impact of artificial intelligence on medical diagnostics: A letter to the editor by Sahar Imtiaz, Sheikh Abdul Qadir Jillani

“…  (2) AI has become increasingly important in various fields due to its potential to automate complex processes, enhance efficiency, and drive innovation. …”
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Determination, Mobility and Risk Assessment of Pesticides in Ginseng Wine Using Dispersive Liquid–Liquid Micro Extraction Combined with GC-MS/MS and LC-MS/MS by Xuanwei Xu, Dan Zhao, Min Zhang, Xinxin Meng, Ying Chen, Xu Leng, Shuang Liang, Yueru Li

“…In this work, DLLME was extended to complex residues in the ginseng wine matrix. This study first focused on the selection of an appropriate solvent that enabled the dissolution of analytes from ginseng wine. …”
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Novel rapid molecular diagnosis methods for comprehensive genetic analysis of 21-hydroxylase deficiency by Yanjie Xia, Feng Yu, Ying Bai, Lili Jiang, Panlai Shi, Zhengwen Jiang, Xiangdong Kong

“…Results Among the 113 21-OHD patients, 95.6% of the affected alleles were detected accurately by SNaPshot and CNVplex. Prevalent mutations were detected in 69.5% of the alleles; 62.4% of alleles contained pseudogene-derived micro-conversions, 1.8% contained nonpseudogene-derived mutations, and 5.3% contained complex variations resulting from multiple recombinations between CYP21A2 and CYP21A1P. …”
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GCF-DeepLabv3+: An Improved Segmentation Network for Maize Straw Plot Classification by Yuanyuan Liu, Jiaxin Zhang, Yueyong Wang, Yang Luo, Pengxiang Sui, Ying Ren, Xiaodan Liu, Jun Wang

“…An improved GCF-DeepLabv3+ model was utilized for detecting straw coverage types. The model incorporates StarNet as its backbone, reducing parameter count and computational complexity. …”
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Study of local inflammatory response in different clinical forms of chronic polypous rhinosinusitis by E. A. Varyushina, E. V. Bezrukova, E. V. Vorobeychikov, E. V. Kravchenko, J. V. Sukhareva, M. A. Aflitonov, A. S. Simbirtsev

“…In all clinical forms of CPMS, complex histopathological changes were observed, including leukocyte infiltration, fibrosis, edema, and collagen depositions. …”
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Measurement and simulation of broadband radar absorption properties of polypyrrole nanotubes and their carbonaceous analogues by Tomáš Zálabský, Drahomír Čadek, Fatima Hassouna, Jiří Tuček, Tomáš Lapka, Dušan Kopecký

“…Here, polypyrrole nanotubes (PPy-NT) and carbonized polypyrrole nanotubes (PPy-C) were dispersed in polydimethylsiloxane matrix (PDMS) at low concentrations (1–3 % w/w) and their attenuation properties (reflection, absorption, and transmission coefficients), dielectric properties (complex permittivity and loss tangents) and apparent alternating current (AC) conductivity were evaluated between 2.6 GHz and 18 GHz. …”
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Multitask Learning-Based Pipeline-Parallel Computation Offloading Architecture for Deep Face Analysis by Faris S. Alghareb, Balqees Talal Hasan

“…These tasks include face detection and recognition, age estimation, gender recognition, smile detection, and hair color and style classification. …”
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A Novel Method for Single-Station Lightning Distance Estimation Based on the Physical Time Reversal by Yingcheng Zhao, Zheng Sun, Yantao Duan, Hailin Chen, Yicheng Liu, Lihua Shi

“…Moreover, the correlation coefficients of the detection results are all as high as 0.999. …”
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Simple Clinical Prediction Rules for Identifying Significant Liver Fibrosis: Evaluation of Established Scores and Development of the Aspartate Aminotransferase-Thrombocytopenia-Alb... by Puwitch Charoenchue, Jiraporn Khorana, Apichat Tantraworasin, Suwalee Pojchamarnwiputh, Wittanee Na Chiangmai, Amonlaya Amantakul, Taned Chitapanarux, Nakarin Inmutto

“…<b>Conclusions:</b> The ATA score offers a straightforward and efficient method for detecting significant fibrosis, demonstrating comparable diagnostic capability to APRI and FIB-4, while being more user-friendly in clinical practice. …”
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Structural Parameter Identification Using Multi-Objective Modified Directional Bat Algorithm by LIU Li-jun, LIN Ying-hai, SU Yong-hui, LEI Ying

“…The swarm intelligent optimization methods transform a complex problem of structural parameter identification into a constrained optimization problem. …”
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Kinetics of the reactions of OH with CO, NO, and NO₂ and of HO₂ with NO₂ in air at 1&thinsp;atm pressure, room temperature, and tropospheric water... by M. Rolletter, A. Hofzumahaus, A. Novelli, A. Wahner, H. Fuchs, H. Fuchs

“…In this work, rate coefficients were measured with a high accuracy (<span class="inline-formula">&lt;5</span> %) at 1 <span class="inline-formula">atm</span> pressure, at room temperature, and in humidified air using laser flash photolysis and detection of the radical decay by laser-induced fluorescence. …”
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High accuracy inverse design of reconfigurable metasurfaces with transmission-reflection-integrated achromatic functionalities by Jiang Xiao-Qiang, Fan Wen-Hui, Chen Xu, Zhao Lv-Rong, Qin Chong, Yan Hui, Wu Qi, Ju Pei

“…Moreover, transmission-reflection-integrated achromatic THz imaging and edge detection can also be realized by the metasurfaces. …”
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A hybrid CFD and machine learning study of energy performance of photovoltaic systems with a porous collector: Model development and validation by Yinling Wang, Lei Yu, Mazhar Ali, Imran Ali Khan, Tahir Maqsood, Haining Gao, Qi Wang, Xiaolei Guo

“…These results demonstrated the capability of machine learning to accurately capture complex relationships within structured datasets.…”
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Automatic Evaluation of Bone Age Using Hand Radiographs and Pancorporal Radiographs in Adolescent Idiopathic Scoliosis by Ifrah Andleeb, Bilal Zahid Hussain, Julie Joncas, Soraya Barchi, Marjolaine Roy-Beaudry, Stefan Parent, Guy Grimard, Hubert Labelle, Luc Duong

“…<b>Background/Objectives:</b> Adolescent idiopathic scoliosis (AIS) is a complex, three-dimensional spinal deformity that requires monitoring of skeletal maturity for effective management. …”
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HalalChain: A decentralized blockchain model for enhanced data integrity, real-time compliance, and automated verification in halal food supply chain by Muhammad Muntasir Yakubu, Mohd Fadzil B Hassan, Kamaluddeen Usman Danyaro, Bello Musa Yakubu, Abdullah Abdulrahman Alabdulatif, S. Zulaikha Beevi, Aliyu Garba

“…The global halal food industry, valued at over $1.9 trillion, faces critical challenges in ensuring transparency, traceability, and compliance with Islamic dietary laws across complex supply chains. Traditional centralized systems are vulnerable to inefficiencies, fraud, and data tampering, undermining consumer trust. …”
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AgriSenAI: Automating UAV thermal and multispectral image processing for precision agriculture by Boaz B. Tulu, Fitsum Teshome, Yiannis Ampatzidis, Niguss Solomon Hailegnaw, Haimanote K Bayabil

“…However, processing and extracting useful information from UAV images is often complex, time-consuming, and requires specialized software, which limits its broader adoption for practical field implementations. …”
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AI-driven multi-agent reinforcement learning framework for real-time monitoring of physiological signals in stress and depression contexts by Thanveer Shaik, Xiaohui Tao, Lin Li, Haoran Xie, Hong-Ning Dai, Feng Zhao, Jianming Yong

“…The optimized agents adapt effectively to dynamic environments, ensuring timely detection of critical health deviations. Comparative evaluations reveal superior performance in metrics related to decision-making accuracy and response efficiency, highlighting the robustness of the framework. …”
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SEEI: spherical evolution with feedback mechanism for identifying epistatic interactions by De-yu Tang, Yi-jun Mao, Jie Zhao, Jin Yang, Shi-yin Li, Fu-xiang Ren, Junxi Zheng

“…Abstract Background Detecting epistatic interactions (EIs) involves the exploration of associations among single nucleotide polymorphisms (SNPs) and complex diseases, which is an important task in genome-wide association studies. …”
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Using Digital Technology to Conduct COVID-19 Surveillance: A Systematic Review by Fitrisia Rahma, Fatmah Fatmah, Rachmadhi Purwana

“…Conclusion: Digital technology has demonstrated its pivotal role in strengthening public health surveillance during the pandemic, improving efficiency, accuracy, and capacity in pandemic response. …”
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Randomised controlled clinical trial of a structured cognitive rehabilitation in patients with attention deficit following mild traumatic brain injury: study protocol by Roshan das Nair, Nor Asiah Muhamad, Avril Drummond, Mazlina Mazlan, Norhamizan Hamzah, Vairavan Narayanan, Norlisah Ramli, Nor Atikah Mustapha, Nor Adibah Mohammad Tahir, Li Kuo Tan, Mahmoud Danaee, Sing Yau Goh

“…Correlation analysis of outcome measures will be calculated using Pearson’s correlation coefficient.Conclusion This is a complex clinical intervention with multiple outcome measures to provide a comprehensive evidence-based treatment model.Ethics and dissemination The study protocol was approved by the Medical Research Ethics Committee UMMC (MREC ID NO: 2016928–4293). …”
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