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  1. 1501
  2. 1502

    Using Mask Technique and Center Detection for Congenital Dislocation of the Hip (CDH) Diagnosis by Nidal AL-Assady, Mafaz Khalil Alanezi, Shahla Ahmad

    Published 2007-07-01
    “…We applied this system in computer using Matlab 7.0 programming Langue.…”
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    Article
  3. 1503

    Artificial Intelligence for Alzheimer’s Disease Detection: Enhancing Biomarker Analysis and Diagnostic Precision by Richa Gupta, Zoya Iftekhar

    Published 2024-11-01
    “…Alzheimer’s disease (AD) is a progressive neurodegenerative disorder characterized by cognitive decline and memory impairment. …”
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    Article
  4. 1504
  5. 1505

    Artificial Intelligence in Laryngeal Cancer Detection: A Systematic Review and Meta-Analysis by Ali Alabdalhussein, Mohammed Hasan Al-Khafaji, Rusul Al-Busairi, Shahad Al-Dabbagh, Waleed Khan, Fahid Anwar, Taghreed Sami Raheem, Mohammed Elkrim, Raguwinder Bindy Sahota, Manish Mair

    Published 2025-06-01
    “…We conducted data synthesis using the Meta Disc 1.4 program. (3) Results: A meta-analysis revealed that AI demonstrated high sensitivity (78%) and specificity (86%), with a Pooled Diagnostic Odds Ratio of 53.77 (95% CI: 27.38 to 105.62) in detecting laryngeal cancer. …”
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  6. 1506
  7. 1507

    Deep learning for early Parkinson's detection: A review of fundus imaging approaches by Zheen ALI, Najdavan KAKO

    Published 2025-06-01
    “…Early detection is essential for improving patient outcomes and potentially slowing the disease's progression. …”
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    Article
  8. 1508

    Target recycling product-bridged DNAzyme walker for sensitive detection of microRNA by Ning Pan, Xiangao Jiang, Weixia Qiu, Xiaxia Qiu, Xinchun Ye, Saiduo Liu

    Published 2025-05-01
    “…Abstract The precise and sensitive detection of miRNA is significant for assessing infectious illnesses, particularly pneumonia. …”
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  9. 1509

    Improved ASCVD Screening in Diabetes: a Focus on Scoring Models and Detection Techniques by Zanfirescu Răzvan-Liviu, Anghel Larisa, Tudurachi Bogdan-Sorin, Clement Alexandra-Mihaela, Zăvoi Alexandra, Benchea Laura-Cătălina, Ciocoiu Manuela, Sascău Radu Andy, Stătescu Cristian, Radu Rodica

    Published 2025-04-01
    “…Diabetes accelerates the progression of atherosclerosis through key mechanisms such as insulin resistance, hyperglycemia, dyslipidemia, chronic inflammation, and oxidative stress, significantly increasing the risk of coronary artery disease, stroke, and heart failure. …”
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  10. 1510

    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

    Published 2025-04-01
    “…Abstract Diabetic Retinopathy (DR) is a leading cause of vision impairment globally, necessitating regular screenings to prevent its progression to severe stages. Manual diagnosis is labor-intensive and prone to inaccuracies, highlighting the need for automated, accurate detection methods. …”
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  11. 1511
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    Alzheimer’s Disease Detection in Various Brain Anatomies Based on Optimized Vision Transformer by Faisal Mehmood, Asif Mehmood, Taeg Keun Whangbo

    Published 2025-06-01
    “…Alzheimer’s disease (AD) is a progressive neurodegenerative disorder and a growing public health concern. …”
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  13. 1513

    Inverted Pyramid Nanostructures Coupled with a Sandwich Immunoassay for SERS Biomarker Detection by Wen-Huei Chang, Shao-Quan Zhang, Zi-Yi Yang, Chun-Hung Lin

    Published 2025-01-01
    “…Building on these results, the SERS platform was adapted for the sensitive and specific detection of hyaluronic acid (HA), a key biomarker associated with inflammation and cancer progression. …”
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  14. 1514

    Validation of salivary proteomic biomarkers for early detection of oral cancer in the Egyptian population by Dalia Ghalwash, Ahmed Ammar, Asmaa Abou-Bakr, Al-Hassan Diab, Ayman El-Gawish

    Published 2025-12-01
    “…Demographic data modified gingival index, oral hygiene level, and salivary levels of the biomarkers were assessed.Results Salivary levels of IL-6, IL-8, and sCD44 progressively increased with increased disease severity. …”
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  15. 1515

    Usefulness of Ultrasound Imaging in Detecting Psoriatic Arthritis of Fingers and Toes in Patients with Psoriasis by Clara De simone, Giacomo Caldarola, Magda D'Agostino, Angelo Carbone, Cristina Guerriero, Lorenzo Bonomo, Pierluigi Amerio, Nicola Magarelli

    Published 2011-01-01
    “…Given that clinical evaluation may underestimate the joint damage and that early treatment can slow down psoriatic arthritis (PsA) progression, screening psoriasis patients with imaging tools that can depict early PsA changes would entail clear benefits. …”
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  16. 1516

    An Activatable Fluorescence/Photoacoustic Bimodal Probe for the Detection of Drug-Induced Liver Senescence by Ying-Hong Yan, Jun-Liang Zhou, Li-Li Ren, Ping-Zhao Liang, Wen Zhang, Tian-Bing Ren, Lin Yuan, Xia Yin, Xiao-Bing Zhang

    Published 2025-02-01
    “…Senescence is an intricate physiological progression that can be instigated by a multiplicity of factors. …”
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  17. 1517

    Utility of nonlinear analysis of heart rate variability in early detection of metabolic syndrome by José Alberto Zamora-Justo, Myriam Campos-Aguilar, María del Carmen Beas-Jara, Pedro Galván-Fernández, Alberto Ponciano-Gómez, Santiago Cristóbal Sigrist-Flores, Rafael Jiménez-Flores, Alejandro Muñoz-Diosdado

    Published 2025-06-01
    “…Moreover, a decrease in SampEn was observed in individuals with one or two metabolic alterations, suggesting that autonomic dysfunction may begin in the early stages of metabolic risk.DiscussionThese findings support the integration of nonlinear HRV analysis with traditional methods to improve the early detection and management of metabolic syndrome. The progressive reduction in heart rate signal complexity may serve as a sensitive marker of early autonomic dysfunction in metabolic deterioration.…”
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    ALPD-Net: a wild licorice detection network based on UAV imagery by Jing Yang, Huaibin Qin, Jianguo Dai, Guoshun Zhang, Miaomiao Xu, Yuan Qin, Jinglong Liu

    Published 2025-07-01
    “…Additionally, to enhance the model’s attention to licorice at different scales, a Lightweight Multi-Scale Module (LMSM) using multi-scale dilated convolution is introduced, significantly reducing the probability of missed detections. At the same time, a Progressive Feature Fusion Module (PFFM) is developed, where a weighted self-attention fusion strategy is employed to effectively merge detailed and semantic information from adjacent layers, thereby preventing information loss or mismatches.Results and discussionThe experimental results show that ALPD-Net achieves good detection accuracy in wild licorice identification, with precision 73.3%, recall 76.1%, and mean Average Precision at IoU=0.50 (mAP50) of 79.5%. …”
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  20. 1520